CN102664689A - Determination method of eye pattern quality and apparatus thereof - Google Patents
Determination method of eye pattern quality and apparatus thereof Download PDFInfo
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- CN102664689A CN102664689A CN2012100829453A CN201210082945A CN102664689A CN 102664689 A CN102664689 A CN 102664689A CN 2012100829453 A CN2012100829453 A CN 2012100829453A CN 201210082945 A CN201210082945 A CN 201210082945A CN 102664689 A CN102664689 A CN 102664689A
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Abstract
The invention discloses a determination method of an eye pattern quality and an apparatus thereof and relates to the communication technology field. The eye pattern quality is determined through a quantification index so that adjustment of the eye pattern can be more accurate. The determination method of the eye pattern quality comprises the following steps: projecting a statistical area intercepted in the eye pattern on an X axis/or a Y axis so as to obtain a statistical coordinate and a valuing frequency of the each statistical coordinate, wherein the valuing frequency of the each statistical coordinate is a number of waves projected on the position of the each statistical coordinate in the statistical area; according to the statistical coordinate and the valuing frequency of the each statistical coordinate, acquiring a dispersion degree index of the statistical coordinate; if the dispersion degree index of the statistical coordinate is greater than a preset dispersion degree index, determining that the eye pattern is not qualified.
Description
Technical field
The present invention relates to communication technical field, relate in particular to a kind of determination methods and device of eye diagram quality.
Background technology
The eye pattern of optical module is the digital communication symbol that is shown on the oscilloscope screen, forms the figure of its shape similar " eye " by a large amount of waveform stacks.In the optimizing process of optical module, need regulate eye pattern according to the quality of eye diagram quality.At present, for the eye pattern of conformance with standard template, can use indexs such as crosspoint, extinction ratio in the adjustment process as the standard of weighing the eye diagram quality quality; But for the eye pattern that does not meet standard form; As adopt differential quadrature phase keying (DQPSK) (Differential Quadrature Phase Shift Keying, DQPSK) eye pattern of optical module of sign indicating number type needs the staff to judge through naked eyes whether this eye pattern meets the specification of DQPSK eye pattern usually; Because criterion depends on staff's subjective feeling; Can't guarantee the levels of precision that eye pattern is regulated, possibly cause the eye pattern of some optical module not reach requirement, but the staff think that eye pattern is qualified; Because it is optimum that main optical module reality does not reach, and in long-time running, may go wrong.
Summary of the invention
Embodiments of the invention provide a kind of determination methods and device of eye diagram quality, and the quality through quantizating index judgement eye diagram quality makes the adjusting of eye pattern more accurate.
For solving the problems of the technologies described above, embodiments of the invention adopt following technical scheme:
A kind of determination methods of eye diagram quality comprises:
To in eye pattern, the statistical regions of intercepting project on X axle and/or the Y axle, and obtain adding up the value number of times of coordinate and said each statistics coordinate, the value number of times of each statistics coordinate is the number of statistical regions inner projection at the ripple at each statistics coordinate place;
Obtain the dispersion degree index of said statistics coordinate according to the value number of times of said statistics coordinate and said each statistics coordinate;
If the dispersion degree index of said statistics coordinate judges then that greater than preset dispersion degree index said eye pattern is defective.
A kind of determination methods of eye diagram quality comprises:
Intercepting rectangular area, crest place at eye pattern projects on the X axle as statistical regions; Obtain the value number of times of crest statistics abscissa and said each crest statistics abscissa, the value number of times of each crest statistics abscissa is the number of statistical regions inner projection at the ripple at each crest statistics abscissa place;
Obtain the dispersion degree index of said crest statistics abscissa according to the value number of times of said crest statistics abscissa and said each crest statistics abscissa;
Intercepting rectangular area, trough place at eye pattern projects on the X axle as statistical regions; Obtain the value number of times of trough statistics abscissa and said each trough statistics abscissa, the value number of times of each trough statistics abscissa is the number of statistical regions inner projection at the ripple at each trough statistics abscissa place;
Obtain the dispersion degree index of said trough statistics abscissa according to the value number of times of said trough statistics abscissa and said each trough statistics abscissa;
The dispersion degree index and the trough that obtain said crest statistics abscissa are added up the difference and/or the ratio of the dispersion degree index of abscissa;
If it is pre-conditioned that said difference and/or ratio do not satisfy, judge that then said eye pattern is defective.
A kind of judgment means of eye diagram quality comprises:
First interception unit; Be used for to project to X axle and/or Y axle in the statistical regions of eye pattern intercepting; Obtain adding up the value number of times of coordinate and said each statistics coordinate, the value number of times of each statistics coordinate is the number of statistical regions inner projection at the ripple at each statistics coordinate place;
First statistic unit is used for obtaining the dispersion degree index of said statistics coordinate according to the value number of times of said statistics coordinate and said each statistics coordinate;
First judging unit is used for if the dispersion degree index of said statistics coordinate greater than preset dispersion degree index, judges that then said eye pattern is defective.
A kind of judgment means of eye diagram quality comprises:
Second interception unit; Be used for projecting to the X axle as statistical regions in the intercepting rectangular area, crest place of eye pattern; Obtain the value number of times of crest statistics abscissa and said each crest statistics abscissa, the value number of times of each crest statistics abscissa is the number of statistical regions inner projection at the ripple at each crest statistics abscissa place;
Second statistic unit is used for obtaining the dispersion degree index that said crest is added up abscissa according to the value number of times of said crest statistics abscissa and said each crest statistics abscissa;
Said second interception unit also is used for; Intercepting rectangular area, trough place at eye pattern projects on the X axle as statistical regions; Obtain the value number of times of trough statistics abscissa and said each trough statistics abscissa, the value number of times of each trough statistics abscissa is the number of statistical regions inner projection at the ripple at each trough statistics abscissa place;
Said second statistic unit also is used for, and obtains the dispersion degree index of said trough statistics abscissa according to the value number of times of said trough statistics abscissa and said each trough statistics abscissa;
Said second statistic unit also is used for, and the dispersion degree index and the trough that obtain said crest statistics abscissa are added up the difference and/or the ratio of the dispersion degree index of abscissa;
Second judging unit is used for if said difference and/or ratio do not satisfy pre-conditionedly, judges that then said eye pattern is defective.
Because being a large amount of waveform stacks, the waveform that forms on the eye pattern forms; The waveform of eye pattern should be fully overlapping under the theoretical case, but can not realize in the reality that there is certain width in the overlapping region; Qualified eye pattern satisfies normal distribution; Therefore, the dispersion degree of overlapping region is more little, and then eye diagram quality is good more.The dispersion degree of above-mentioned statistics coordinate has promptly been represented in the overlapping region dispersion degree of a large amount of ripples, and that the dispersion degree of a large amount of ripples can reflect in the eye pattern whether waveform exists is multi-thread, i.e. the quality of eye diagram quality.Crest statistics coordinate and trough statistics coordinate satisfy normal distribution; Dispersion degree is directly proportional with the thickness of waveform, and therefore the dispersion degree index to them compares promptly above-mentioned difference and/or ratio; Can reflect whether thickness is suitable for crest and trough place, i.e. the quality of eye diagram quality.Need the staff to compare with prior art, use quantizating index to judge the quality of eye diagram quality, avoided because the error that staff's subjective feeling causes makes the adjusting of eye pattern more accurate through the quality of perusal judgement eye diagram quality.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art; To do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below; Obviously, the accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills; Under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of a kind of determination methods of eye diagram quality in the embodiment of the invention;
Fig. 2 is a kind of sketch map of NRZ-DPSK sign indicating number type eye pattern;
Fig. 3 is the flow chart of the determination methods of single channel NRZ-DPSK sign indicating number type eye diagram quality in the embodiment of the invention;
Fig. 4 is the another kind of sketch map of NRZ-DPSK sign indicating number type eye pattern;
Fig. 5 is the sketch map of NRZ-DQPSK sign indicating number type eye pattern;
Fig. 6 is a kind of flow chart of the determination methods of the eye diagram quality of RZ sign indicating number type in the embodiment of the invention;
Fig. 7 is the another kind of flow chart of the determination methods of the eye diagram quality of RZ sign indicating number type in the embodiment of the invention;
Fig. 8 is the sketch map of the eye pattern of RZ sign indicating number type;
Fig. 9 is the structured flowchart of a kind of judgment means of eye diagram quality in the embodiment of the invention;
Figure 10 is the structured flowchart of the another kind of judgment means of eye diagram quality in the embodiment of the invention.
Embodiment
To combine the accompanying drawing in the embodiment of the invention below, the technical scheme in the embodiment of the invention is carried out clear, intactly description, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the present invention's protection.
As shown in Figure 1, the embodiment of the invention provides a kind of determination methods of eye diagram quality, comprising:
Be specially, in eye pattern, need judge whether to exist multi-thread intercepting subregion, waveform position as statistical regions.For non-return-to-zero differential phase keying (DPSK) (Non-Return-to-Zero Differential Phase Shift Keying; NRZ-DPSK) eye pattern of sign indicating number type is as shown in Figure 2, and it is multi-thread to need to judge that level"1" is whether high level exists; Then the subregion A of intercepting level"1" projects on the Y axle as statistical regions; Need to prove that Fig. 2 is the sketch map of eye pattern, actual eye pattern is formed by a large amount of waveform stacks.
Because being a large amount of waveform stacks, the waveform that forms on the eye pattern forms; The waveform of eye pattern should be fully overlapping under the theoretical case, but can not realize in the reality that there is certain width in the overlapping region; The similar normal distribution of qualified eye pattern; Therefore, the dispersion degree of overlapping region is more little, and then eye diagram quality is good more.The dispersion degree of above-mentioned statistics coordinate has promptly been represented in the overlapping region dispersion degree of a large amount of ripples, and that the dispersion degree of a large amount of ripples can reflect in the eye pattern whether waveform exists is multi-thread, i.e. the quality of eye diagram quality.Need the staff to judge through perusal whether waveform exists multi-thread comparing with prior art; Use this quantizating index of dispersion degree to judge the quality of eye diagram quality; Avoided because the error that staff's subjective feeling causes makes the adjusting of eye pattern more accurate.
Below with non-return-to-zero difference quadrature phase shift keying (Non-Return-to-Zero Differential Quadrature Reference Phase Shift Keying; NRZ-DQPSK) control method of sign indicating number type eye pattern is an example, further specifies the determination methods of a kind of eye diagram quality that the embodiment of the invention provides.
NRZ-DQPSK sign indicating number type eye pattern is made up of two-way NRZ-DPSK sign indicating number type eye pattern, therefore, at first is adjusted to single channel NRZ-DPSK sign indicating number type eye pattern, judges its quality quality and regulates.
As shown in Figure 3, similar to the above embodiments, the determination methods of single channel NRZ-DPSK sign indicating number type eye diagram quality may further comprise the steps:
Particularly; As shown in Figure 4; Will be in eye pattern the statistical regions of intercepting project on X axle and/or the Y axle and comprise: intercepting rectangular area, the crest place A at the level"1" of eye pattern projects to the Y axle as statistical regions; Rectangular area A up and down two limits lays respectively at the both sides up and down outside the level"1", and promptly rectangular area A does not intersect with waveform on two limits up and down, about two limits crossing with waveform; And/or in the intercepting rectangular area, rising edge place of eye pattern B projects to the X axle as statistical regions; Two limits lay respectively at the left and right sides outside the rising edge about the B of rectangular area; Be that does not intersect with waveform on two limits about the B of rectangular area, two limits are crossing with waveform up and down; Identical with the intercept method of rectangular area B, and/or project to the X axle as statistical regions in the falling edge intercepting rectangular area of eye pattern.
Particularly, the dispersion degree index is preferably standard variance, and is identical with the judgement principle of above-mentioned eye diagram quality; Can to reflect whether eye pattern exists in statistical regions multi-thread for the dispersion degree of statistics coordinate in the statistical regions, i.e. the quality of eye pattern, and because the statistics coordinate is distributed in (μ-3 σ; μ+3 σ) probability in can reflect whether a large amount of ripples in the statistical regions satisfy normal distribution, therefore also can judge the quality of eye diagram quality, when the intercepting rectangular area, crest place of level"1" projects on the Y axle as statistical regions; The standard variance of statistics coordinate is greater than the preset standard variance, and the statistics coordinate is distributed in (μ-3 σ, μ+3 σ) interior probability less than the predetermined probabilities value; The level"1" of then judging eye pattern is defective, need regulate eye pattern, and is same; When the rising edge of eye pattern or falling edge intercepting rectangular area project to the X axle as statistical regions; The standard variance of statistics coordinate is greater than the preset standard variance, and the statistics coordinate is distributed in (μ-3 σ, μ+3 σ) interior probability less than the predetermined probabilities value; Rising edge or the trailing edge of then judging eye pattern are defective, need regulate eye pattern.
This single channel NRZ-DPSK sign indicating number type eye pattern is judged and regulate accomplish after, be adjusted to other one road NRZ-DPSK sign indicating number type eye pattern, use the same method and judge and regulate.
Be adjusted to the synthetic NRZ-DQPSK sign indicating number type eye pattern of two-way NRZ-DPSK sign indicating number type eye pattern afterwards, as shown in Figure 5, judge its quality quality and regulate.Identical with above-mentioned judgement control method; Whether the level"1" place of judging eye pattern is qualified; And eye pattern regulated, owing to can judge according to the standard variance of statistics coordinate in the statistical regions of eye pattern rising edge or falling edge and/or the probability that is distributed in (μ-3 σ, μ+3 σ) whether two-way NRZ-DPSK sign indicating number type eye pattern has displacement; Whether two eyelets promptly can judging NRZ-DQPSK sign indicating number type eye pattern align and are high-visible, and eye pattern is regulated.
With prior art need the staff through perusal judge whether NRZ-DQPSK sign indicating number type eye pattern level"1" has multi-thread and whether two eyelets align, high-visible comparing; The determination methods of the NRZ-DQPSK sign indicating number type eye diagram quality that the embodiment of the invention provides; Use quantizating index to judge the quality of eye diagram quality, avoided because the error that staff's subjective feeling causes makes the adjusting of eye pattern more accurate; And can realize full-automatic judgement and adjusting, need not manual intervention.
As shown in Figure 6, the embodiment of the invention also provides a kind of determination methods of eye diagram quality, is used for judging (the Return-to-Zero that makes zero; RZ) the eye diagram quality quality of sign indicating number type; The eye pattern of qualified RZ sign indicating number type is as shown in Figure 8, is the class sine curve, and its level"1" and level "0" want thickness suitable; Need judge promptly whether thickness is suitable for crest, trough place, and the determination methods of this eye diagram quality comprises:
Particularly, two limits up and down of rectangular area C lay respectively at the both sides up and down outside the crest, about two limits lay respectively at outside the edge in the outside about crest, promptly the top of rectangular area C with about two limits do not intersect with waveform, followingly intersect with waveform.
Particularly, rectangular area D up and down two limits lays respectively at the both sides up and down outside the trough, about two limits lay respectively at outside the edge in the outside about trough, promptly rectangular area D following with about two limits do not intersect with waveform, top and waveform are crossing.
The difference and/or the ratio of the dispersion degree index of step 305, the dispersion degree index that obtains crest statistics abscissa and trough statistics abscissa;
Similar with the judgement principle of above-mentioned eye diagram quality; Crest statistics abscissa and the similar normal distribution of trough statistics abscissa; Dispersion degree is directly proportional with the thickness of waveform, and therefore the dispersion degree index to them compares promptly above-mentioned difference and/or ratio; Can reflect whether thickness is suitable for crest and trough place, i.e. the quality of eye diagram quality.Need the staff to judge through perusal whether thickness is quite compared for crest, trough place with prior art, use quantizating index to judge the quality of eye diagram quality, avoided because the error that staff's subjective feeling causes makes the adjusting of eye pattern more accurate.
Further, as shown in Figure 7, the determination methods of this eye diagram quality can also comprise:
Particularly, as shown in Figure 8, rectangular area E up and down two limits lays respectively at the both sides up and down outside crest or the trough and does not intersect with waveform, about two limits crossing with waveform.
Preferably, above-mentioned dispersion degree index is a standard variance.
Below be example with the control method of DQPSK sign indicating number type eye pattern; Further specify the determination methods of the eye diagram quality that the embodiment of the invention provides, when DQPSK sign indicating number type eye pattern is regulated, need regulate the eye pattern of NRZ-DQPSK sign indicating number type eye pattern and RZ sign indicating number type respectively; At first judge NRZ-DQPSK sign indicating number type eye diagram quality; And regulate, judge the eye diagram quality of RZ sign indicating number type then, and regulate.Judgement and control method are same as the previously described embodiments, repeat no more at this.
Need the staff to judge whether qualified comparing of eye pattern with prior art through perusal; Use quantizating index to judge the quality of eye diagram quality; Avoided because the error that staff's subjective feeling causes; Make the adjusting of eye pattern more accurate, and can realize full-automatic judgement and adjusting, need not manual intervention.
As shown in Figure 9, the embodiment of the invention also provides a kind of judgment means of eye diagram quality, comprising:
First interception unit 1; Be used for to project to X axle and/or Y axle in the statistical regions of eye pattern intercepting; Obtain adding up the value number of times of coordinate and each statistics coordinate, the value number of times of each statistics coordinate is the number of statistical regions inner projection at the ripple at each statistics coordinate place;
First statistic unit 2 is used for the dispersion degree index according to the value number of times acquisition statistics coordinate of statistics coordinate and each statistics coordinate;
First judging unit 3 is used for if the dispersion degree index of statistics coordinate greater than preset dispersion degree index, judges that then eye pattern is defective.
Concrete judgement principle and method are same as the previously described embodiments, repeat no more at this.
Need the staff to judge through perusal whether waveform exists multi-thread comparing with prior art; Use this quantizating index of dispersion degree to judge the quality of eye diagram quality; Avoided because the error that staff's subjective feeling causes makes the adjusting of eye pattern more accurate.
Particularly, above-mentioned will be in eye pattern the statistical regions of intercepting project on X axle and/or the Y axle and comprise: the intercepting rectangular area, level"1" place at eye pattern projects to the Y axle as statistical regions; And/or project to the X axle as statistical regions in the intercepting rectangular area, rising edge place of eye pattern; And/or project to the X axle as statistical regions in the falling edge intercepting rectangular area of eye pattern.
Further, first statistic unit 2 also is used for, and according to the value number of times of statistics coordinate with each statistics coordinate, obtains the statistics coordinate and is distributed in the probability in (μ-3 σ, μ+3 σ), and wherein μ is expectation, and σ is a standard variance;
Said judging unit also is used for, if said probability, judges further then that said eye pattern is defective less than the predetermined probabilities value.
Further, first judging unit 3 also is used for, if above-mentioned probability less than the predetermined probabilities value, judges further that then eye pattern is defective.
Preferably, above-mentioned dispersion degree index is a standard variance.
Judge that particularly principle and method are same as the previously described embodiments, repeat no more at this.
Need the staff to judge whether qualified comparing of eye pattern with prior art through perusal; Use quantizating index to judge the quality of eye diagram quality; Avoided because the error that staff's subjective feeling causes; Make the adjusting of eye pattern more accurate, and can realize full-automatic judgement and adjusting, need not manual intervention.
Shown in figure 10, the embodiment of the invention also provides a kind of judgment means of eye diagram quality, comprising:
Second interception unit 4; Be used for projecting to the X axle as statistical regions in the intercepting rectangular area, crest place of eye pattern; Obtain the value number of times of crest statistics abscissa and each crest statistics abscissa, the value number of times of each crest statistics abscissa is the number of statistical regions inner projection at the ripple at each crest statistics abscissa place;
Second statistic unit 5 is used for obtaining the dispersion degree index that said crest is added up abscissa according to the value number of times of crest statistics abscissa and each crest statistics abscissa;
Second interception unit 4 also is used for; Intercepting rectangular area, trough place at eye pattern projects on the X axle as statistical regions; Obtain the value number of times of trough statistics abscissa and each trough statistics abscissa, the value number of times of each trough statistics abscissa is the number of statistical regions inner projection at the ripple at each trough statistics abscissa place;
Second statistic unit 5 also is used for, and obtains the dispersion degree index of trough statistics abscissa according to the trough statistics abscissa and the value number of times of each trough statistics abscissa;
Second statistic unit 5 also is used for, and the dispersion degree index and the trough that obtain crest statistics abscissa are added up the difference and/or the ratio of the dispersion degree index of abscissa;
Concrete judgement principle and method are same as the previously described embodiments, repeat no more at this.
Because crest statistics coordinate and trough statistics coordinate satisfy normal distribution, dispersion degree is directly proportional with the thickness of waveform, and therefore the dispersion degree index to them compares, and promptly above-mentioned difference and/or ratio can reflect whether thickness is suitable for crest and trough place.Need the staff to judge through perusal whether thickness is quite compared for crest, trough place with prior art, use quantizating index to judge the quality of eye diagram quality, avoided because the error that staff's subjective feeling causes makes the adjusting of eye pattern more accurate.
Further; Second interception unit 4 also is used for; Crest and/or intercepting rectangular area, trough place at eye pattern project on the Y axle as statistical regions; Obtain adding up the value number of times of ordinate and each statistics ordinate, the value number of times of each statistics ordinate is the number of statistical regions inner projection at the ripple at each statistics ordinate place;
Second statistic unit 5 also is used for, and according to the value number of times of statistics ordinate and said each statistics ordinate, obtains the statistics ordinate and is distributed in the probability in (μ-3 σ, μ+3 σ), and wherein μ is expectation, and σ is a standard variance;
Preferably, above-mentioned dispersion degree index is a standard variance.
Need the staff to judge whether qualified comparing of eye pattern with prior art through perusal; Use quantizating index to judge the quality of eye diagram quality; Avoided because the error that staff's subjective feeling causes; Make the adjusting of eye pattern more accurate, and can realize full-automatic judgement and adjusting, need not manual intervention.
Need to prove that the dispersion degree index in the foregoing description can be represented the index of dispersion degree for standard variance, variance or other.
Through the description of above execution mode, the those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential common hardware, can certainly pass through hardware, but the former is better execution mode under a lot of situation.Based on such understanding; The part that technical scheme of the present invention contributes to prior art in essence in other words can be come out with the embodied of software product, and this computer software product is stored in the storage medium that can read, like the floppy disk of computer; Hard disk or CD etc.; Comprise some instructions with so that computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of each embodiment of the present invention.
The above; Be merely embodiment of the present invention, but protection scope of the present invention is not limited thereto, any technical staff who is familiar with the present technique field is in the technical scope that the present invention discloses; Can expect easily changing or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of said claim.
Claims (15)
1. the determination methods of an eye diagram quality is characterized in that, comprising:
To in eye pattern, the statistical regions of intercepting project on X axle and/or the Y axle, and obtain adding up the value number of times of coordinate and said each statistics coordinate, the value number of times of each statistics coordinate is the number of statistical regions inner projection at the ripple at each statistics coordinate place;
Obtain the dispersion degree index of said statistics coordinate according to the value number of times of said statistics coordinate and said each statistics coordinate;
If the dispersion degree index of said statistics coordinate judges then that greater than preset dispersion degree index said eye pattern is defective.
2. the determination methods of eye diagram quality according to claim 1 is characterized in that, said will be in eye pattern the statistical regions of intercepting project on X axle and/or the Y axle and comprise:
Intercepting rectangular area, level"1" place at eye pattern projects to the Y axle as statistical regions;
And/or
Intercepting rectangular area, rising edge place at eye pattern projects to the X axle as statistical regions;
And/or
Falling edge intercepting rectangular area at eye pattern projects to the X axle as statistical regions.
3. the determination methods of eye diagram quality according to claim 2 is characterized in that,
Said intercepting rectangular area, level"1" place at eye pattern projects to the Y axle as statistical regions and is specially:
Intercepting rectangular area, crest place at eye pattern projects to the Y axle as statistical regions.
4. according to the determination methods of any described eye diagram quality in the claim 1 to 3, it is characterized in that, also comprise:
Value number of times according to said statistics coordinate and said each statistics coordinate obtains said statistics coordinate and is distributed in the probability in (μ-3 σ, μ+3 σ), and wherein μ is expectation, and σ is a standard variance;
If said probability, judges further then that said eye pattern is defective less than the predetermined probabilities value.
5. the determination methods of eye diagram quality according to claim 4 is characterized in that,
Said dispersion degree index is a standard variance.
6. the determination methods of an eye diagram quality is characterized in that, comprising:
Intercepting rectangular area, crest place at eye pattern projects on the X axle as statistical regions; Obtain the value number of times of crest statistics abscissa and said each crest statistics abscissa, the value number of times of each crest statistics abscissa is the number of statistical regions inner projection at the ripple at each crest statistics abscissa place;
Obtain the dispersion degree index of said crest statistics abscissa according to the value number of times of said crest statistics abscissa and said each crest statistics abscissa;
Intercepting rectangular area, trough place at eye pattern projects on the X axle as statistical regions; Obtain the value number of times of trough statistics abscissa and said each trough statistics abscissa, the value number of times of each trough statistics abscissa is the number of statistical regions inner projection at the ripple at each trough statistics abscissa place;
Obtain the dispersion degree index of said trough statistics abscissa according to the value number of times of said trough statistics abscissa and said each trough statistics abscissa;
The dispersion degree index and the trough that obtain said crest statistics abscissa are added up the difference and/or the ratio of the dispersion degree index of abscissa;
If it is pre-conditioned that said difference and/or ratio do not satisfy, judge that then said eye pattern is defective.
7. the determination methods of eye diagram quality according to claim 6 is characterized in that, also comprises:
Crest and/or intercepting rectangular area, trough place at eye pattern project on the Y axle as statistical regions; Obtain adding up the value number of times of ordinate and said each statistics ordinate, the value number of times of each statistics ordinate is the number of statistical regions inner projection at the ripple at each statistics ordinate place;
Value number of times according to said statistics ordinate and said each statistics ordinate obtains said statistics ordinate and is distributed in the probability in (μ-3 σ, μ+3 σ), and wherein μ is expectation, and σ is a standard variance;
If said probability, judges further then that said eye pattern is defective less than the predetermined probabilities value.
8. according to the determination methods of claim 6 or 7 described eye diagram quality, it is characterized in that,
Said dispersion degree index is a standard variance.
9. the judgment means of an eye diagram quality is characterized in that, comprising:
First interception unit; Be used for to project to X axle and/or Y axle in the statistical regions of eye pattern intercepting; Obtain adding up the value number of times of coordinate and said each statistics coordinate, the value number of times of each statistics coordinate is the number of statistical regions inner projection at the ripple at each statistics coordinate place;
First statistic unit is used for obtaining the dispersion degree index of said statistics coordinate according to the value number of times of said statistics coordinate and said each statistics coordinate;
First judging unit is used for if the dispersion degree index of said statistics coordinate greater than preset dispersion degree index, judges that then said eye pattern is defective.
10. the judgment means of eye diagram quality according to claim 9 is characterized in that, said will be in eye pattern the statistical regions of intercepting project on X axle and/or the Y axle and comprise:
Intercepting rectangular area, level"1" place at eye pattern projects to the Y axle as statistical regions;
And/or
Intercepting rectangular area, rising edge place at eye pattern projects to the X axle as statistical regions;
And/or
Falling edge intercepting rectangular area at eye pattern projects to the X axle as statistical regions.
11. the judgment means of any described eye diagram quality in 10 is characterized in that according to Claim 8,
Said first statistic unit also is used for, and the value number of times according to said statistics coordinate and said each statistics coordinate obtains said statistics coordinate and is distributed in the probability in (μ-3 σ, μ+3 σ), and wherein μ is expectation, and σ is a standard variance;
Said first judging unit also is used for, if said probability, judges further then that said eye pattern is defective less than the predetermined probabilities value.
12. the judgment means of eye diagram quality according to claim 11 is characterized in that,
Said dispersion degree index is a standard variance.
13. the judgment means of an eye diagram quality is characterized in that, comprising:
Second interception unit; Be used for projecting to the X axle as statistical regions in the intercepting rectangular area, crest place of eye pattern; Obtain the value number of times of crest statistics abscissa and said each crest statistics abscissa, the value number of times of each crest statistics abscissa is the number of statistical regions inner projection at the ripple at each crest statistics abscissa place;
Second statistic unit is used for obtaining the dispersion degree index that said crest is added up abscissa according to the value number of times of said crest statistics abscissa and said each crest statistics abscissa;
Said second interception unit also is used for; Intercepting rectangular area, trough place at eye pattern projects on the X axle as statistical regions; Obtain the value number of times of trough statistics abscissa and said each trough statistics abscissa, the value number of times of each trough statistics abscissa is the number of statistical regions inner projection at the ripple at each trough statistics abscissa place;
Said second statistic unit also is used for, and obtains the dispersion degree index of said trough statistics abscissa according to the value number of times of said trough statistics abscissa and said each trough statistics abscissa;
Said second statistic unit also is used for, and the dispersion degree index and the trough that obtain said crest statistics abscissa are added up the difference and/or the ratio of the dispersion degree index of abscissa;
Second judging unit is used for if said difference and/or ratio do not satisfy pre-conditionedly, judges that then said eye pattern is defective.
14. the judgment means of eye diagram quality according to claim 13 is characterized in that,
Second interception unit also is used for; Crest and/or intercepting rectangular area, trough place at eye pattern project on the Y axle as statistical regions; Obtain adding up the value number of times of ordinate and said each statistics ordinate, the value number of times of each statistics ordinate is the number of statistical regions inner projection at the ripple at each statistics ordinate place;
Second statistic unit also is used for, and the value number of times according to said statistics ordinate and said each statistics ordinate obtains said statistics ordinate and is distributed in the probability in (μ-3 σ, μ+3 σ), and wherein μ is expectation, and σ is a standard variance;
Second judging unit also is used for, if said probability, judges further then that said eye pattern is defective less than the predetermined probabilities value.
15. the judgment means according to claim 13 or 14 described eye diagram quality is characterized in that,
Said dispersion degree index is a standard variance.
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