CN102386889B - Baseline shift minimizing technology, device and median filter - Google Patents
Baseline shift minimizing technology, device and median filter Download PDFInfo
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Abstract
The present invention relates to a kind of baseline shift minimizing technology, device and median filter, its method comprises: the sampled point signal value obtaining predetermined quantity, forms initial Sorted list; Initial Sorted list is sorted from small to large, obtains initial median; Obtain next sampled point signal value, be placed in position, initial Sorted list end, and delete first sampled point signal value in initial Sorted list, form current Sorted list; According to next sampled point signal value and initial median, obtain the median of current Sorted list; The signal value of current removal baseline shift is calculated according to the median of current Sorted list and next sampled point signal value.The present invention does not need to sort to all signal sampling points in each filtering window, easy, quick, accelerates baseline shift and removes process; When obtaining median, the median of next sampled point signal value and a upper Sorted list being carried out according to size order selections successively and judges, this speed of fast algorithm of further raising.
Description
Technical field
The present invention relates to signal base line drift technical field, particularly relate to a kind of baseline shift minimizing technology based on medium filtering, device and median filter.
Background technology
The baseline shift phenomenon of signal extensively exists in various fields such as communication, medical treatment, drift is a kind of slow movement up or down of baseline, can observe in a long time, often can masking noise and little fluctuation, have a strong impact on the subsequent treatment of signal.
For TV signal, in the collection of TV signal, amplification, detection and recording process, often there are the various interference from the external world, in the inconstant situation of ambient temperature, the input signal in above-mentioned each process, often along with the Rapid Variable Design of temperature, superposes a kind of slow movement up or down, very large owing to superposing amplitude for a long time, often can masking noise and little fluctuation, even make to output signal the span beyond signal value, had a strong impact on the subsequent treatment of signal.
In prior art, usually adopt the baseline shift of median filter to signal to correct, original input signal is deducted interfering data and can obtain filtered data.
But, the method of direct use medium filtering, when filter window longer (during as filter length N=4096 signal sampling point), because needs calculate median, first need to sort to the signal sampling point of 4096 in each filtering window, this sort algorithm speed of service is comparatively slow, even if use quick sorting algorithm faster, is also often difficult to the requirement reaching system.
Summary of the invention
Main purpose of the present invention is to provide a kind of simple and rapid baseline shift minimizing technology, device and median filter.
In order to achieve the above object, the present invention proposes a kind of baseline shift minimizing technology, comprises the following steps:
Obtain the sampled point signal value of predetermined quantity, form initial Sorted list;
Described initial Sorted list is sorted from small to large, obtains initial median;
Obtain next sampled point signal value, be placed in position, described initial Sorted list end, and delete first sampled point signal value in described initial Sorted list, form current Sorted list;
According to described next sampled point signal value and initial median, obtain the median of described current Sorted list;
The signal value of current removal baseline shift is calculated according to the median of described current Sorted list and described next sampled point signal value.
Preferably, described according to next sampled point signal value and initial median, the step obtaining the median of described current Sorted list comprises:
If described next sampled point signal value equals described initial median, then the median of described current Sorted list is described next sampled point signal value;
If described next sampled point signal value is greater than described initial median, then the median of described current Sorted list is be positioned at the sampled point signal value of after described initial median one in described initial Sorted list;
If described next sampled point signal value is less than described initial median, then the median of described current Sorted list is the sampled point signal value being positioned at the described last position of initial median in described initial Sorted list.
Preferably, describedly to sort from small to large to initial Sorted list, the step obtaining initial median comprises:
Sort from small to large to initial Sorted list, initially sorted array;
According to described initial sequence array, obtain initial median.
Preferably, in described initial Sorted list, the predetermined quantity of sampled point signal value equals the length of filter sampled point signal being carried out to filtering.
Preferably, the step that the described median according to current Sorted list and described next sampled point signal value calculate the signal value of current removal baseline shift comprises: the signal value median that described next sampled point signal value deducts described current Sorted list being current removal baseline shift.
The present invention also proposes a kind of baseline shift removal device, comprising:
First acquisition module, for obtaining the sampled point signal value of predetermined quantity, forms initial Sorted list;
First computing module, for sorting from small to large to described initial Sorted list, obtains initial median;
Second acquisition module, for obtaining next sampled point signal value, being placed in position, described initial Sorted list end, and deleting first sampled point signal value in described initial Sorted list, forming current Sorted list;
3rd acquisition module, for according to described next sampled point signal value and initial median, obtains the median of described current Sorted list;
Second computing module, for calculating the signal value of current removal baseline shift according to the median of described current Sorted list and described next sampled point signal value.
Preferably, described 3rd acquisition module, also for when described next sampled point signal value equals described initial median, judges that the median of described current Sorted list is described next sampled point signal value; When described next sampled point signal value is greater than described initial median, judge that the median of described current Sorted list is be positioned at the sampled point signal value of after described initial median one in described initial Sorted list; And when described next sampled point signal value is less than described initial median, judge that the median of described current Sorted list is the sampled point signal value being positioned at the described last position of initial median in described initial Sorted list.
Preferably, described first computing module is also for sorting from small to large to initial Sorted list, and initially sorted array; And according to described initial sequence array, obtain initial median.
Preferably, in described initial Sorted list, the predetermined quantity of sampled point signal value equals the length of filter sampled point signal being carried out to filtering.
The present invention also proposes a kind of median filter removing baseline shift, comprises baseline shift removal device as above.
A kind of baseline shift minimizing technology that the present invention proposes, device and median filter, by obtaining the sampled point signal value of predetermined quantity, form initial Sorted list; Initial Sorted list is sorted from small to large, obtains initial median; Obtain next sampled point signal value (as current sampling point signal value), be placed in position, initial Sorted list end, and delete first sampled point signal value in initial Sorted list, form current Sorted list; According to next sampled point signal value and initial median, obtain the median of current Sorted list, the median that this next sampled point signal value (i.e. current sampling point signal value) deducts current Sorted list is the signal value of current removal baseline shift, this baseline shift minimizing technology does not need to sort to all signal sampling points in each filtering window, easy, quick, accelerate baseline shift and remove process; And when obtaining the median of current Sorted list, the median of next sampled point signal value and a upper Sorted list is compared, carry out selection successively according to size order and judge, improve the speed of this fast algorithm thus further.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of baseline shift minimizing technology one embodiment of the present invention;
Fig. 2 be in baseline shift minimizing technology one embodiment of the present invention according to next sampled point signal value and initial median, obtain the schematic flow sheet of the median of current Sorted list;
Fig. 3 is the structural representation of baseline shift removal device one embodiment of the present invention;
Fig. 4 is the structural representation that the present invention removes median filter one embodiment of baseline shift.
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.
Embodiment
Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Solution for embodiment of the invention is mainly: by obtaining the sampled point signal value of predetermined quantity, form initial Sorted list; Initial Sorted list is sorted from small to large, obtains initial median; Obtain next sampled point signal value (as current sampling point signal value), be placed in position, initial Sorted list end, and delete first sampled point signal value in initial Sorted list, form current Sorted list; According to next sampled point signal value and initial median, obtain the median of current Sorted list, the median that this next sampled point signal value (i.e. current sampling point signal value) deducts current Sorted list is the signal value of current removal baseline shift, makes baseline shift minimizing technology easy, quick.
In order to reach the object removing baseline shift, current signal value is deducted the median that the filter length comprising current demand signal is N number of signal by the present invention, is a kind of comparatively simple and rapid baseline shift processing method based on medium filtering.
Please refer to shown in Fig. 1, a kind of baseline shift minimizing technology that one embodiment of the invention proposes, comprising:
Step S101, obtains the sampled point signal value of predetermined quantity, forms initial Sorted list;
The present embodiment carries out medium filtering process by median filter to sampled signal, removes the baseline shift in sampled signal.Because the length of median filter is certain, be such as N, then median filter can process N number of sampled point signal at every turn.
First, as added up the signal of a segment length, carry out baseline shift process to it, first median filter obtains N number of sampled point signal value from above-mentioned signal, as initial Sorted list, to sort to it.
Step S102, sorts from small to large to initial Sorted list, obtains initial median;
Median filter sorts from small to large to the N number of initial Sorted list obtained, and obtains the sorted initial sequence array that a length is N; Obtain the median of this array that initially sorts, be the initial median of this initial Sorted list.
Step S103, obtains next sampled point signal value, is placed in position, initial Sorted list end, and deletes first sampled point signal value in initial Sorted list, form current Sorted list;
This next sampled point signal value is as current sampling point signal value (hereinafter referred to as current sampling point signal value), the signal value after baseline shift is removed in order to obtain this current sampling point signal value, this current sampling point signal value is inserted the last position of the above-mentioned initial Sorted list in median filter by this step, and delete first sampled point signal value in initial Sorted list, obtain the current Sorted list that length is N.
Step S104, according to next sampled point signal value and initial median, obtains the median of current Sorted list;
Step S105, calculates the signal value of current removal baseline shift according to the median of current Sorted list and next sampled point signal value.
In above-mentioned steps S104 and step S105, in order to obtain the median of current Sorted list, to obtain according to the median of current Sorted list the signal value that current sampling point signal removes baseline shift, median in current sampling point signal value and initial Sorted list and initial median are compared, if current sampling point signal value equals initial median, then think that the median of current Sorted list is this current sampling point signal value; If current sampling point signal value is greater than initial median, then think that the median of current Sorted list is be positioned at the sampled point signal value of after initial median one in initial Sorted list; If current sampling point signal value is less than initial median, then think that the median of current Sorted list is the sampled point signal value being positioned at the last position of initial median in initial Sorted list.
After obtaining the median of current Sorted list, median current sampling point signal value being deducted current Sorted list be current sampling point signal remove baseline shift after signal value.
Follow-up next sampled point signal value is carried out to the removal process of baseline shift, carry out according to above-mentioned principle.Now, namely above-mentioned current Sorted list substitutes above-mentioned initial Sorted list, and using follow-up next sampled point signal value as current sampling point signal value, insert the initial Sorted list after upgrading, subsequent processes is the same.
Particularly, as shown in Figure 2, above-mentioned steps S104 comprises:
Step S1041, judges whether next sampled point signal value equals initial median; If equal, then enter step S1042; If be greater than, then enter step S1043; If be less than, then enter step S1044;
Step S1042, the median of current Sorted list is next sampled point signal value;
Step S1043, the median of current Sorted list is be positioned at the sampled point signal value of after initial median one in initial Sorted list;
Step S1044, the median of current Sorted list is the sampled point signal value being positioned at the last position of initial median in initial Sorted list.
Below illustrate that the present embodiment removes the general principle of baseline shift based on median filter:
Suppose pending signal value be followed successively by 10,8,9,2,11,7,9,9 ..., suppose that the length N of median filter is 5 simultaneously.
First time is when processing, first initial Sorted list A [10,8,9,2,11] is processed, after sorting from small to large, obtain corresponding sorted array for [2,8,9,10,11], from this sorted array, obtain initial median Mid0=9;
When second time processes, now, obtaining next signal value is 7, this next signal value 7 is inserted the last position of upper process sequence (initial Sorted list) A, and first signal value 10 of a upper process sequence A is deleted from the sequence processed, form new process sequence (current Sorted list) B [8, 9, 2, 11, 7], then new to this process sequence B [8, 9, 2, 11, 7] process, now, sorted array corresponding to this new process sequence B is [2, 7, 8, 9, 11], therefrom know that the median of this new process sequence B should be 8, when judging the median of new process sequence B, the present embodiment compares acquisition according to this next signal value 7 with upper one median (initial median) Mid0 processing sequence A.
Particularly, now, next signal value 7 is less than the median Mid09 of a process sequence A, and therefore, the median Mid1 of new process sequence B is that Mid09 processes one digit number 8, i.e. Mid1=8 before in sequence A upper one;
Third time is when processing, a upper process sequence is updated to B [8, 9, 2, 11, 7], now, obtaining next signal value is 9, this next signal value 9 is inserted a upper process sequence B [8, 9, 2, 11, 7] last position, and first signal value 8 in a upper process sequence B is deleted from the sequence processed, form new process sequence C [9, 2, 11, 7, 9], then new to this process sequence C [9, 2, 11, 7, 9] process, now, sorted array corresponding to this new process sequence C is [2, 7, 9, 9, 11], therefrom know that the median of this new process sequence C should be 9.
When judging, now, next signal value 9 is greater than the median Mid1=8 of process sequence B [8,9,2,11,7], so the median Mid2 of new process sequence C [9,2,11,7,9] is the rear one digit number 9 of median Mid 8 in a upper process sequence B of a upper process sequence B, i.e. Mid2=9;
During the 4th process, a upper process sequence is updated to C [9, 2, 11, 7, 9], now, obtaining next signal value is 9, and this next signal value 9 is inserted a upper process sequence C [9, 2, 11, 7, 9] last position, and first signal value 9 in a upper process sequence C is deleted from the sequence processed, form new process sequence D [2, 11, 7, 9, 9], then new to this process sequence D [2, 11, 7, 9, 9] process, now, sorted array corresponding to this new process sequence D is [2, 7, 9, 9, 11], therefrom know that the median of this new process sequence D should be 9.
When judging, now, next signal value 9 equals the median Mid2=9 of process sequence C [9,2,11,7,9], so this next signal value 9 of median Mid3=of new process sequence D [2,11,7,9,9].
Above-mentioned to working as in the deterministic process of median of pre-treatment sequence, whether equal according to current sampling point signal value, be greater than or less than the median of a process sequence, descending order judges, if define current sampling point signal value respectively to equal, the median being greater than and being less than a process sequence is a, b, c tri-judges branch, according to a, b, the frequency of occurrences of c tri-branches arranges the order of three branches from big to small, if belong to first branch, then do not need to carry out second, the judgement of the 3rd branch and computing, if belong to second branch, do not need judgement and the computing of carrying out the 3rd branch, and the frequency of occurrences of three branches arranges from big to small, thereby reduce number of comparisons, the speed that this present embodiment removes baseline shift fast algorithm can be improved further, and need the frequency of occurrences of three of the sampled signal of the statistics of carrying out baseline shift process branches often to have to there is with actual signal conforming feature of adding up, therefore, this determination methods can complete the removal of baseline shift further fast.
The present embodiment does not need to sort to all signal sampling points in each filtering window, easy, quick, accelerates baseline shift and removes process; And when obtaining the median of current Sorted list, the median of next sampled point signal value and a upper Sorted list is compared, carry out selection successively according to size order and judge, improve the speed of this fast algorithm thus further.
As shown in Figure 3, one embodiment of the invention proposes a kind of baseline shift removal device, comprising: the first acquisition module 301, first computing module 302, second acquisition module 303, the 3rd acquisition module 304 and the second computing module 305; Wherein:
First acquisition module 301, for obtaining the sampled point signal value of predetermined quantity, forms initial Sorted list;
First computing module 302, for sorting from small to large to described initial Sorted list, obtains initial median;
Second acquisition module 303, for obtaining next sampled point signal value, being placed in position, initial Sorted list end, and deleting first sampled point signal value in initial Sorted list, forming current Sorted list;
3rd acquisition module 304, for according to next sampled point signal value and initial median, obtains the median of current Sorted list;
Second computing module 305, for calculating the signal value of current removal baseline shift according to the median of current Sorted list and described next sampled point signal value.
The present embodiment baseline shift removal device can be arranged in median filter, carries out medium filtering process by this device to sampled signal, removes the baseline shift in sampled signal.Because the length of median filter is certain, be such as N, then median filter can process N number of sampled point signal at every turn.
First, as added up the signal of a segment length, carry out baseline shift process to it, first median filter obtains N number of sampled point signal value, as initial Sorted list by the first acquisition module 301 from the above-mentioned signal that need add up;
Afterwards, by the first computing module 302, the N number of initial Sorted list that first acquisition module 301 obtains is sorted from small to large, obtain the sorted initial sequence array that a length is N; Obtain the median of this array that initially sorts, be the initial median of this initial Sorted list.
This next sampled point signal value is as current sampling point signal value (hereinafter referred to as current sampling point signal value), the signal value after baseline shift is removed in order to obtain this current sampling point signal value, this current sampling point signal value is inserted the last position of the above-mentioned initial Sorted list in median filter by the present embodiment by the second acquisition module 303, and delete first sampled point signal value in initial Sorted list, obtain the current Sorted list that length is N.
In order to obtain the median of current Sorted list, to obtain according to the median of current Sorted list the signal value that current sampling point signal removes baseline shift, by the 3rd acquisition module 304, the median in current sampling point signal value and initial Sorted list and initial median are compared, if current sampling point signal value equals initial median, then think that the median of current Sorted list is this current sampling point signal value; If current sampling point signal value is greater than initial median, then think that the median of current Sorted list is be positioned at the sampled point signal value of after initial median one in initial Sorted list; If current sampling point signal value is less than initial median, then think that the median of current Sorted list is the sampled point signal value being positioned at the last position of initial median in initial Sorted list.
After obtaining the median of current Sorted list, median current sampling point signal value being deducted current Sorted list by the second computing module 305 is current sampling point signal and removes the signal value after baseline shift.
Follow-up next sampled point signal value is carried out to the removal process of baseline shift, carry out according to above-mentioned principle.Now, namely above-mentioned current Sorted list substitutes above-mentioned initial Sorted list, and using follow-up next sampled point signal value as current sampling point signal value, insert the initial Sorted list after upgrading, subsequent processes is the same.
As shown in Figure 4, the present invention also proposes a kind of median filter removing baseline shift, comprises the baseline shift removal device 401 described in above-described embodiment.Wherein, the internal structure of baseline shift removal device 401 and the principle of work and power please refer to the content described by above-described embodiment, are not described further at this.
Embodiment of the present invention baseline shift minimizing technology, device and median filter, by obtaining the sampled point signal value of predetermined quantity, form initial Sorted list; Initial Sorted list is sorted from small to large, obtains initial median; Obtain next sampled point signal value (as current sampling point signal value), be placed in position, initial Sorted list end, and delete first sampled point signal value in initial Sorted list, form current Sorted list; According to next sampled point signal value and initial median, obtain the median of current Sorted list, the median that this next sampled point signal value (i.e. current sampling point signal value) deducts current Sorted list is the signal value of current removal baseline shift, this baseline shift minimizing technology does not need to sort to all signal sampling points in each filtering window, easy, quick, accelerate baseline shift and remove process; And when obtaining the median of current Sorted list, the median of next sampled point signal value and a upper Sorted list is compared, carry out selection successively according to size order and judge, improve the speed of this fast algorithm thus further.
The foregoing is only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every utilize specification of the present invention and accompanying drawing content to do equivalent structure or flow process conversion; or be directly or indirectly used in other relevant technical field, be all in like manner included in scope of patent protection of the present invention.
Claims (8)
1. a baseline shift minimizing technology, is characterized in that, comprises the following steps:
Obtain the sampled point signal value of predetermined quantity, form initial Sorted list;
Described initial Sorted list is sorted from small to large, obtains initial median;
Obtain next sampled point signal value, be placed in position, described initial Sorted list end, and delete first sampled point signal value in described initial Sorted list, form current Sorted list;
According to described next sampled point signal value and initial median, obtain the median of described current Sorted list;
Described according to next sampled point signal value and initial median, the step obtaining the median of described current Sorted list comprises:
If described next sampled point signal value equals described initial median, then the median of described current Sorted list is described next sampled point signal value;
If described next sampled point signal value is greater than described initial median, then the median of described current Sorted list is be positioned at the sampled point signal value of after described initial median one in described initial Sorted list;
If described next sampled point signal value is less than described initial median, then the median of described current Sorted list is the sampled point signal value being positioned at the described last position of initial median in described initial Sorted list;
The median that definition current sampling point signal value equals, is greater than and is less than a process sequence is that a, b, c tri-judge branch, arranges the order of three branches according to the frequency of occurrences of a, b, c tri-branches from big to small;
The signal value of current removal baseline shift is calculated according to the median of described current Sorted list and described next sampled point signal value.
2. method according to claim 1, is characterized in that, describedly sorts from small to large to initial Sorted list, and the step obtaining initial median comprises:
Sort from small to large to initial Sorted list, initially sorted array;
According to described initial sequence array, obtain initial median.
3. method according to claim 2, is characterized in that, in described initial Sorted list, the predetermined quantity of sampled point signal value equals the length of filter sampled point signal being carried out to filtering.
4. method according to claim 1, it is characterized in that, the step that the described median according to current Sorted list and described next sampled point signal value calculate the signal value of current removal baseline shift comprises: the signal value median that described next sampled point signal value deducts described current Sorted list being current removal baseline shift.
5. a baseline shift removal device, is characterized in that, comprising:
First acquisition module, for obtaining the sampled point signal value of predetermined quantity, forms initial Sorted list;
First computing module, for sorting from small to large to described initial Sorted list, obtains initial median;
Second acquisition module, for obtaining next sampled point signal value, being placed in position, described initial Sorted list end, and deleting first sampled point signal value in described initial Sorted list, forming current Sorted list;
3rd acquisition module, for according to described next sampled point signal value and initial median, obtains the median of described current Sorted list;
Described 3rd acquisition module, also for when described next sampled point signal value equals described initial median, judges that the median of described current Sorted list is described next sampled point signal value; When described next sampled point signal value is greater than described initial median, judge that the median of described current Sorted list is be positioned at the sampled point signal value of after described initial median one in described initial Sorted list; When described next sampled point signal value is less than described initial median, judge that the median of described current Sorted list is the sampled point signal value being positioned at the described last position of initial median in described initial Sorted list; And definition current sampling point signal value to equal, be greater than and be less than a median processing sequence be that a, b, c tri-judge branch, arrange the order of three branches from big to small according to the frequency of occurrences of a, b, c tri-branches;
Second computing module, for calculating the signal value of current removal baseline shift according to the median of described current Sorted list and described next sampled point signal value.
6. device according to claim 5, is characterized in that, described first computing module is also for sorting from small to large to initial Sorted list, and initially sorted array; And according to described initial sequence array, obtain initial median.
7. device according to claim 6, is characterized in that, in described initial Sorted list, the predetermined quantity of sampled point signal value equals the length of filter sampled point signal being carried out to filtering.
8. remove a median filter for baseline shift, it is characterized in that, comprise the baseline shift removal device according to any one of claim 5-7.
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| CN104132884B (en) * | 2013-10-16 | 2016-08-17 | 深圳市帝迈生物技术有限公司 | The immediate processing method of a kind of signal base line in signal processing system and device |
| CN104617914B (en) * | 2015-02-11 | 2018-09-07 | 珠海格力电器股份有限公司 | A kind of signal filtering method and system of electrical equipment |
| CN105030217A (en) * | 2015-06-09 | 2015-11-11 | 吉林大学 | Portable motion monitoring and detecting equipment and motion monitoring and detecting method |
| CN106021185A (en) * | 2016-05-06 | 2016-10-12 | 深圳市安智车米汽车信息化有限公司 | A recursive median filtering calculation method and device |
| CN107247278B (en) * | 2017-06-15 | 2021-04-30 | 上海市计算技术研究所 | GPS signal drift processing method and terminal |
| CN108523874A (en) * | 2018-02-26 | 2018-09-14 | 广东工业大学 | Signal base line drift correction method, apparatus based on red black tree and storage medium |
| CN108634935B (en) * | 2018-05-09 | 2021-07-13 | 广东工业大学 | Method, device and equipment for correcting signal baseline drift |
| CN112487880B (en) * | 2020-11-13 | 2021-09-24 | 河北省科学院应用数学研究所 | Median filter, device and system based on maximum error criterion |
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