CN101136622A - Method and device for implementing bandpass filtering using cascade integration comb filter - Google Patents
Method and device for implementing bandpass filtering using cascade integration comb filter Download PDFInfo
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Abstract
This invention discloses a method for realizing bandpass filtration utilizing two cascade integral comb filters of different cut-off frequencies, which takes signals necessary for bandpass filtration as two paths of input signals to carry out low pass filtration and adjustment to time delay and gain of them then to cancel the processed signals. This invention also discloses a device for realizing bandpass filtration by two cascade integral comb filters.
Description
Technical Field
The invention relates to a digital filter technology, in particular to a method and a device for realizing band-pass filtering by utilizing a cascade integration comb filter.
Background
The digital filtering is used for filtering a certain part of frequency components in the signal, and the signal is subjected to filtering processing and is equivalent to the result of multiplying the frequency spectrum of the signal by the frequency response of the filter. From the time domain, the input signal is convolved with the impulse response of the filter. In a digital communication system, in order to demodulate a signal, digital filtering is required to reduce the influence of noise and interference on the signal. In the application field of the zero intermediate frequency system, because the sampling frequency of a baseband signal is much higher than the effective bandwidth of the signal, a Cascade Integrator-comb Filter (CIC) Filter is generally required to be added as an anti-aliasing Filter to perform down-sampling processing on the signal; then, a first-order Finite Impulse Response (FIR) filter is used to filter out the high-frequency and low-frequency signals outside the effective signal frequency band. The FIR filter and the CIC filter are respectively shown in fig. 1 and fig. 2, the FIR filter is composed of a series of shift registers, multipliers and an adder, and the CIC filter is composed of one or more stages of integrators or comb filters.
However, the combined filtering method of the CIC filter and the FIR filter in the Radio Frequency Identification (RFID) system has its limitations, which are determined by the characteristics of the RFID system. The time requirement for the RFID system to respond to the signal of the tag received by the RFID reader is strict, and the time delay of the system is required to be small. Meanwhile, a reverse signal from the tag to the RFID reader is a strong low-frequency interference on the baseband due to the interference of the forward carrier signal, and therefore, the filter is required to suppress low frequency strongly, and meanwhile, a high-frequency signal needs to be filtered, so that a band-pass filter is needed. In order to realize a band pass filter having a strong suppression effect on low frequency signals by using an FIR filter, the FIR filter is required to have a large number of orders. However, as the order of the FIR filter increases, the resource occupied by the FIR filter increases, and the delay of the filter is large, which is disadvantageous for the RFID reader to return signals to the tag in time.
Similarly, in other band-pass filtering applications requiring fast response and good filter characteristics, the conventional FIR filter is difficult to satisfy, because the FIR filter is difficult to satisfy both the requirements of small delay and good filter characteristics.
Disclosure of Invention
In view of the above, the main objective of the present invention is to provide a method for implementing bandpass filtering by using a cascaded integrator-comb filter, which can solve the problems of the prior art that the bandpass filtering function occupies more resources and the processing delay is large, thereby achieving the effects of reducing the resource usage and reducing the delay in the signal processing process.
Another objective of the present invention is to provide a device for implementing bandpass filtering by using a cascaded integrator-comb filter, which can solve the problems of complex structure, large number of multipliers required, and large delay of an FIR filter.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
a method for implementing bandpass filtering using a cascaded integrator-comb filter, the method comprising: and taking the signals needing band-pass filtering as two paths of input signals, performing low-pass filtering on each path of input signals, adjusting signal time delay and gain, and performing signal cancellation on the two paths of processed signals.
The low-pass filtering of each path of signal and the adjustment of the signal delay and gain are as follows: the method comprises the steps of firstly carrying out low-pass filtering on an input signal, and then carrying out time delay and gain adjustment on the signal subjected to the low-pass filtering. Or, firstly, the input signal is subjected to time delay and gain adjustment, and then the signal subjected to time delay and gain adjustment is subjected to low-pass filtering.
In the method, two paths of signals are respectively subjected to low-pass filtering by a first cascade integration comb filter and a second cascade integration comb filter, wherein the cutoff frequency of the first cascade integration comb filter is the upper limit or the lower limit of the passband of the required bandpass filtering, and correspondingly, the cutoff frequency of the second cascade integration comb filter is the lower limit or the upper limit of the passband of the required bandpass filtering.
And the gain and the time delay after the two paths of signals are adjusted are equal.
A device for realizing band-pass filtering by utilizing a cascade integration comb filter comprises a first path of input signal processing unit, a second path of input signal processing unit and a signal offset unit; the first path of input signal processing unit comprises a first cascade integration comb filter and a first time delay and gain adjustment unit, and the second path of input signal processing unit comprises a second cascade integration comb filter and a second time delay and gain adjustment unit; the first cascade integrator comb filter and the second cascade integrator comb filter are used for low-pass filtering of input signals; the first and second time delay and gain adjustment units are used for adjusting the gain and time delay of the signal; and the signal cancellation unit is used for performing signal cancellation on the two paths of processed signals.
The first cascade integrator-comb filter and the second cascade integrator-comb filter receive signals needing band-pass filtering and output the signals after low-pass filtering to the input of the first delay and gain adjusting unit and the input of the second delay and gain adjusting unit, and the output of the first delay and gain adjusting unit and the output of the second delay and gain adjusting unit are connected with the input of the signal counteracting unit. Or the first and second time delay and gain adjustment units receive signals which need to be subjected to band-pass filtering, and output the signals subjected to gain and time delay adjustment to the first and second cascade integrating comb filters, wherein the outputs of the first and second cascade integrating comb filters are connected with the input of the signal cancellation unit.
In the device, the cut-off frequency of the first cascade integration comb filter is the upper limit or the lower limit of the passband of the required bandpass filtering, and correspondingly, the cut-off frequency of the second cascade integration comb filter is the lower limit or the upper limit of the passband of the required bandpass filtering.
The time delay and the gain of the output signals of the first path of input signal processing unit and the second path of signal input processing unit are equal.
The invention adopts two CIC filters with different cut-off frequencies to realize a band-pass filter, and has the following advantages:
(1) simple structure and small required storage capacity. The CIC filter does not need a multiplier, and the integration link of the CIC filter is utilized to reduce the memory space in the intermediate process, so that the resource occupation of the filter is reduced.
(2) The method and the device of the invention avoid using a high-order FIR filter, so that the time delay is small, and the method and the device are suitable for application environments with strict time delay requirements, such as RFID systems and the like.
Drawings
FIG. 1 is a block diagram of a prior art FIR filter;
FIG. 2 is a block diagram of a CIC filter in the prior art;
FIG. 3 is a flow chart of a method for implementing band-pass filtering by using a cascaded integrator-comb filter according to the present invention;
FIG. 4 is an impact response curve of CIC1 in accordance with the present invention;
FIG. 5 is a frequency response curve of CIC1 according to the present invention;
FIG. 6 is an impact response curve of CIC2 in accordance with the present invention;
FIG. 7 is a frequency response curve of CIC2 according to the present invention;
FIG. 8 is an impulse response curve of an equivalent bandpass filter after cancellation of CIC1 and CIC2 signals in the present invention;
FIG. 9 is a frequency response curve of an equivalent bandpass filter after cancellation of CIC1 and CIC2 signals in the present invention;
FIG. 10 is a waveform diagram of an input waveform of the present invention;
FIG. 11 is a diagram of an output waveform of the present invention after filtering the input waveform of FIG. 10;
fig. 12 is a schematic structural diagram of an apparatus for implementing bandpass filtering by using a cascaded integrator-comb filter according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
The core idea of the invention is as follows: two CIC filters are adopted to process the same signal, specifically, a signal needing band-pass filtering is used as two paths of input signals, low-pass filtering and signal time delay and gain adjustment are carried out on each path of input signal, and the processed two paths of signals are subjected to signal cancellation.
Each path of signal needing band-pass filtering firstly passes through low-pass filtering or firstly adjusts time delay and gain, and can be selected randomly, and the signal can be firstly subjected to low-pass filtering and then adjusted in time delay and gain; or the time delay and the gain can be adjusted first, and then low-pass filtering is carried out.
As an embodiment of the present invention, the signal is selected to be low-pass filtered, and then adjusted in delay and gain.
As shown in fig. 3, an embodiment of the method for implementing bandpass filtering by using a CIC filter of the present invention includes the following steps:
step 101: the signal to be band-pass filtered is input into a first CIC filter CIC1 to be low-pass filtered, and the cut-off frequency of the CIC1 is the upper limit or the lower limit of the passband of the required band-pass filtering.
In order to analyze the effect achieved by each step in the method for achieving band-pass filtering by using the CIC filter, the specific achieving effect of the invention is compared with the FIR filter in each following step, and the effects of the two are proved to be equal.
For the equivalent relationship between the CIC filter and the FIR filter, as can be seen from FIG. 1, when inputting the signal sequence x (n) to the FIR filter, the differential expression of the FIR filter is obtained as <math><mrow>
<mi>y</mi>
<mrow>
<mo>(</mo>
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</mrow>
<mo>=</mo>
<munderover>
<mi>Σ</mi>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mrow>
<mi>N</mi>
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<mn>1</mn>
</mrow>
</munderover>
<mi>h</mi>
<mrow>
<mo>(</mo>
<mi>i</mi>
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<mi>x</mi>
<mrow>
<mo>(</mo>
<mi>n</mi>
<mo>-</mo>
<mi>i</mi>
<mo>)</mo>
</mrow>
<mo>,</mo>
</mrow></math> Where h (i) is the impulse response of the filter and N is the filter order. The z-transformed FIR filter z-domain transfer function of the above equation is: <math><mrow>
<mi>H</mi>
<mrow>
<mo>(</mo>
<mi>z</mi>
<mo>)</mo>
</mrow>
<mo>=</mo>
<munderover>
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<mrow>
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</mrow>
<mrow>
<mi>N</mi>
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<mn>1</mn>
</mrow>
</munderover>
<mi>h</mi>
<mrow>
<mo>(</mo>
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</mrow></math>
as can be seen from fig. 2, the first half of the CIC filter is one or more integrators, the second half is one or more comb filters, and if the CIC filter has N integrators and N comb filters, the transfer function is: <math><mrow>
<mi>H</mi>
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<mo>)</mo>
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<mi>Σ</mi>
<mrow>
<mi>K</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mrow>
<mi>RM</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</munderover>
<msup>
<mi>z</mi>
<mrow>
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</msup>
<msup>
<mo>]</mo>
<mi>N</mi>
</msup>
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</mrow></math> wherein R is the down-sampling rate of the CIC filter, and M is the number of delay units of comb filtering.
Expanding the transfer function of the CIC filter, comparing with the transfer function of the FIR filter, it can be known that for a CIC filter, if its cascade stage number is N, down-sampling rate is R, and the number of delay units of the comb filter is M, it is equivalent to a FIR filter, and the coefficient h (i) of the FIR filter is determined by the following way: when R × M is 3 and N is 2, for example, the result corresponds to an array (1, 1, 1), and after one convolution, the result becomes (1, 2, 3, 2, 1), and after two convolutions, the result becomes (1, 3, 6, 7, 6, 3, 1), and the result of the convolution is equivalent to the CIC filter as the coefficient of the FIR.
If the pass band frequencies required to be obtained by the method for realizing band-pass filtering by using the CIC filter are (h1, h2), the cut-off frequency of the CIC1 low-pass filter can be set to be h1 or h2, and R, M and N parameters of the CIC1 are further determined, and the determination method is a general CIC low-pass filter design method.
As an embodiment of the present invention, R, M and N of the CIC1 take 4, 2 and 5 respectively, and according to the above equivalent relationship, the CIC filter is equivalent to a coefficient of: [ 151535701262103304906909261190147017502010222623802460246023802226201017501470119092669049033021012670351551 ] the impulse response curve and the frequency response curve of the FIR filter are shown in FIG. 4 and FIG. 5, respectively.
Since each coefficient of the FIR filter corresponds to a multiplier, it can be seen that only 5 integrators and 5 CIC1 of the comb filter are equivalent to a 35-order symmetric coefficient FIR filter, and if the FIR is implemented by using the transposed structure, the FIR filter having 18 multipliers and 35 shift registers and 35 adders needs to be used, which saves a lot of resources.
Step 102: and inputting a signal needing band-pass filtering into a second CIC filter CIC2 for low-pass filtering, wherein the cut-off frequency of the CIC2 is the lower limit or the upper limit of the passband of the required band-pass filtering, and the upper limit or the lower limit is selected to be opposite to the upper limit or the lower limit selected by the CIC1 in the step 101.
As in step 101, the signal to be band-pass filtered also enters the second CIC filter to be low-pass filtered. To achieve bandpass filtering, the cut-off frequencies of CIC2 and CIC1 are not the same.
If the pass band frequencies required to be obtained by the method for realizing band-pass filtering by using the CIC filter are (h1, h2), when the cut-off frequency of the CIC1 in the step 101 is h1, the cut-off frequency of the CIC2 is set to be h 2; when the cut-off frequency of the CIC1 is h2 in the step 101, the cut-off frequency of the CIC2 is set to be h1, R, M and N parameters of the CIC2 are further determined, and the determination method is a general CIC low-pass filter design method.
The difference between the cut-off frequencies of the CIC2 and the CIC1 is the range of bandpass filtering that needs to be implemented, and in the embodiment of the present invention, the parameters R, M and N of the CIC2 are selected to be 4, 8 and 3, respectively. From the above-described equivalence relationship, the FIR filter coefficients equivalent to CIC2 are: [ 1361015212836455566789110512013615317119021023125327630032535137840643546549652855858661263665867869671272673874875676276676876876676275674873872671269667865863661258655852849646543540637835132530027625323121019017115313612010591786655453628211510631 ] the impulse response curve and the frequency response curve are shown in FIGS. 6 and 7, respectively.
Since each coefficient of the FIR filter corresponds to a multiplier, it can be seen that only the CIC2 of 3 integrators and 3 comb filters is equivalent to a FIR filter composed of 47 multipliers and 93 shift registers and 93 adders, which saves a lot of resources.
Step 103: and (4) adjusting the time delay and the gain of the signal subjected to the low-pass filtering processing in the step (101).
In order to enable the signals subjected to low-pass filtering by the CIC1 and the CIC2 to cancel each other, the signals subjected to low-pass filtering by the step 101 and the step 102 need to be subjected to adjustment of delay and gain, so that the delay and gain of the two paths of signals can be consistent.
Step 104: and (4) adjusting the time delay and the gain of the signal subjected to the low-pass filtering processing in the step 102.
Similarly, in order to enable the signals subjected to low-pass filtering by the CIC1 and the CIC2 to cancel each other out, the signals subjected to low-pass filtering by the step 101 and the step 102 need to be adjusted in delay and gain, so that the delay and gain of the two signals can be consistent.
The specific implementation of the adjustment in steps 103 and 104 is as follows:
suppose the gain of the CIC filter is G ═ (RM)NWherein G is the dc gain of the filter, and R, M, N is the down-sampling rate, the number of delay units of the comb filter, and the number of cascade stages, respectively.
If the gain of CIC1 is G1 in step 101, and the gain of CIC2 is G2 in step 102, the gain increased in step 103 is B1, and the gain increased in step 104 is B2, then the relation need only be satisfied: b1 × G1 ═ B2 × G2. The present invention may adjust B1-G2/G1, may adjust B2-G1/G2, and may select B1 and B2 as other values as long as the above relation is satisfied.
Corresponding to the embodiment of the invention, the gain of CIC1 is 85Gain of CIC2 is 323It can be seen that the two gains are equal, and for simplicity, this embodiment directly takes B1-B2-1.
A CIC filter is equivalent to a FIR filter with R × M × N-N +1 taps, with a delay of D ═ R × M × N-N)/2+ N × (R +1) clock cycles.
If the delay of the CIC1 in step 101 is D1, the delay of the CIC2 in step 102 is D2, the delay added in step 103 is C1, and the delay added in step 104 is C2, then the relation only needs to be satisfied: c1+ D1 ═ C2+ D2. The present invention may adjust C1 ═ D2-D1, may adjust C2 ═ D1-D2, and may select C1 and C2 as other values as long as the above relational expression is satisfied.
Corresponding to the embodiment of the present invention, the delay of CIC1 is 42.5 clock cycles, and the delay of CIC2 is 61.5 clock cycles, where for simplicity, the embodiment directly takes C1 as 19 and C2 as 0.
Step 105: and (5) offsetting the signals subjected to time delay and gain compensation in the steps 103 and 104 to obtain signals subjected to band-pass filtering.
The method of the present invention processes the signal by passing the signal through a bandpass filter having an impulse response equal to the subtraction of the impulse response of CIC1 in step 101 and the impulse response of CIC2 in step 102. Since the time delays of the two CIC filters are adjusted in steps 103 and 104, respectively, the midpoints of equivalent FIR filter coefficients of CIC1 and CIC2 are aligned to satisfy the condition of linear phase, so that after the signals are processed in steps 103 and 104, all frequencies and phases are kept the same, and phase distortion of the processed signals is not generated.
Corresponding to the embodiment of the present invention, the signal is compensated by the frequency and the time delay provided in steps 103 and 104, and then is processed by the cancellation procedure, which is equivalent to being filtered by an FIR band-pass filter, and the coefficients of the FIR band-pass filter are: [ -1-3-6-10-15-21-28-36-45-55-66-78-91-105-120-136-153-171-190-210-231-253-276-300-325-351-378-406-435-464-491-513-523-516-486-426-328-188-62144647321002125414641614169216921614146412541002732464214-6-188-328-426-486-516-523-513-491-464-435-406-378-351-325-300-276-253-231-210-190-171-153-136-120-105-91-78-66-55-45-36-28 -21-15-10-6-3-1].
It can be seen that the FIR filter structure is very complex, requiring a large number of multipliers and memory cells. The impulse response of the filter is shown in fig. 8, the frequency response curve is shown in fig. 9, and it can be seen from fig. 8 and 9 that a bandpass filter with better filter characteristics can be provided by the processing of the method for realizing bandpass filtering by using a CIC filter according to the present invention.
If filtering is performed by adopting a conventional CIC filter and FIR filter, to achieve the effect of the above embodiment, down-sampling filtering needs to be performed by the CIC filter, and if the CIC filter is the CIC1 used in step 101 in this embodiment, filtering needs to be performed by a 64-order FIR filter, so as to achieve a similar band-pass filtering effect, because the FIR clock is 4 times the down-sampled clock, the FIR filter will increase the delay by 4 × 32 to 128 clock cycles, but the embodiment of the present invention only increases the delay by 19 clock cycles more than the CIC1, and as can be seen from these analyses, by adopting the embodiment of the present invention, the delay by 109 clock cycles can be reduced.
For the embodiment of the present invention, it is assumed that the input signal waveform is as shown in fig. 10, and the output waveform obtained by the method of implementing bandpass filtering by a CIC filter in the present invention is as shown in fig. 11, as can be seen from fig. 10 and fig. 11, the method of implementing bandpass filtering by a CIC filter in the present invention has good filtering characteristics, and well suppresses the low frequency component and the high frequency component of the signal.
In order to implement the method for implementing bandpass filtering by using a CIC filter of the present invention, the present invention further provides a device for implementing bandpass filtering by using a CIC filter, as shown in fig. 12, the device includes a first input signal processing unit 7, a second input signal processing unit 8 and a signal cancellation unit, the first input signal processing unit 7 includes a first CIC filter 1 and a first delay and gain adjustment unit 3, and the second input signal processing unit 8 includes a second CIC filter 2 and a second delay and gain adjustment unit 4.
Wherein the first CIC filter 1 is configured to perform low-pass filtering on the input signal, and the cutoff frequency is the upper limit or the lower limit of the passband of the required bandpass filtering.
A second CIC filter 2 for low-pass filtering the input signal with a cut-off frequency opposite to the upper or lower limit determined by the first CIC filter 1. That is, when the cutoff frequency of the first CIC filter 1 is the upper limit of the desired band-pass filter, the cutoff frequency of the second CIC filter 2 is selected to be the lower limit of the passband of the desired band-pass filter; when the cut-off frequency of the first CIC filter 1 is at the lower limit of the desired band-pass filter, the cut-off frequency of the second CIC filter 2 is selected at the upper limit of the passband of the desired band-pass filter.
And a first delay and gain adjusting unit 3, which is matched with the first CIC filter 1 and is used for adjusting the gain and the delay of the signal.
The order between the first delay and gain adjustment unit 3 and the first CIC filter 1 can be interchanged, i.e. the first CIC filter 1 is in front and the first delay and gain adjustment unit 3 is behind; the first delay and gain adjustment unit 3 may also be preceded and followed by the first CIC filter 1. As an embodiment of the invention, the first CIC filter 1 is preceded and the first delay and gain adjustment unit 3 is followed.
And a second delay and gain adjusting unit 4, which is matched with the second CIC filter 2 and is used for adjusting the gain and delay of the signal.
The order between the second delay and gain adjustment unit 4 and the second CIC filter 2 may be interchanged, either with the second CIC filter 2 in front and the second delay and gain adjustment unit 4 behind, or with the second delay and gain adjustment unit 4 in front and the second CIC filter 2 behind. In the embodiment of the present invention, the second CIC filter 2 is in front and the second delay and gain adjusting unit 4 is in back.
The signal cancellation unit 5 takes the output signal of the first input signal processing unit 7 and the output signal of the second input signal processing unit 7 as inputs, and is used for performing cancellation operation on the two signals.
The time delay and the gain of the output signals of the first path of input signal processing unit 7 and the second path of input signal processing unit 8 are equal.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. It should be understood by those skilled in the art that the cascaded integrator-comb filters with different parameters are selected, different adjustments are applied to the gain and the time delay of the signal output by the integrator-comb filter, and the signal is filtered first or subjected to time delay and gain adjustment first, and thus, the present invention shall fall into the protection scope of the present invention.
Claims (10)
1. A method for implementing bandpass filtering using a cascaded integrator-comb filter, the method comprising:
and taking the signals needing band-pass filtering as two paths of input signals, performing low-pass filtering on each path of input signals, adjusting signal time delay and gain, and performing signal cancellation on the two paths of processed signals.
2. The method of claim 1, wherein the performing low-pass filtering and the adjusting of signal delay and gain are: the method comprises the steps of firstly carrying out low-pass filtering on an input signal, and then carrying out time delay and gain adjustment on the signal subjected to the low-pass filtering.
3. The method of claim 1, wherein the performing low-pass filtering and the adjusting of signal delay and gain are: firstly, the time delay and the gain of the input signal are adjusted, and then the signal after the time delay and the gain adjustment is subjected to low-pass filtering.
4. The method according to any of claims 1 to 3, wherein the two signals are low-pass filtered by a first cascaded integrator-comb filter and a second cascaded integrator-comb filter, respectively;
the cut-off frequency of the first cascade integration comb filter is the upper limit or the lower limit of the passband of the required bandpass filtering, and correspondingly, the cut-off frequency of the second cascade integration comb filter is the lower limit or the upper limit of the passband of the required bandpass filtering.
5. The method according to any of claims 1 to 3, wherein the adjusted gains and delays of the two signals are equal.
6. A device for realizing band-pass filtering by utilizing a cascade integration comb filter is characterized by comprising a first path of input signal processing unit, a second path of input signal processing unit and a signal offset unit;
the first path of input signal processing unit comprises a first cascade integration comb filter and a first time delay and gain adjustment unit, and the second path of input signal processing unit comprises a second cascade integration comb filter and a second time delay and gain adjustment unit; wherein,
the first cascade integrator comb filter and the second cascade integrator comb filter are used for low-pass filtering the input signal;
the first and second time delay and gain adjustment units are used for adjusting the gain and time delay of the signal;
and the signal cancellation unit is used for performing signal cancellation on the two paths of processed signals.
7. The apparatus of claim 6, wherein the first and second cascaded integrator-comb filters receive a signal to be band-pass filtered and output the low-pass filtered signal to the inputs of the first and second delay and gain adjusting units, and the outputs of the first and second delay and gain adjusting units are connected to the input of the signal cancellation unit.
8. The apparatus of claim 6, wherein the first and second delay and gain adjusting units receive a signal to be bandpass filtered, and output the signal after gain and delay adjustment to the first and second cascaded integrator comb filters, and outputs the outputs of the first and second cascaded integrator comb filters are connected to the input of the signal cancellation unit.
9. The apparatus as claimed in claim 6, wherein the cut-off frequency of the first cascaded integrator comb filter is the upper limit or the lower limit of the passband of the desired bandpass filtering, and correspondingly, the cut-off frequency of the second cascaded integrator comb filter is the lower limit or the upper limit of the passband of the desired bandpass filtering.
10. The apparatus of claim 6, wherein the delays and gains of the output signals of the first input signal processing unit and the second input signal processing unit are equal.
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| Application Number | Priority Date | Filing Date | Title |
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| CNB2007101114739A CN100555863C (en) | 2007-06-25 | 2007-06-25 | Utilize cascade integral comb filter to realize the method and apparatus of bandpass filtering |
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| CNB2007101114739A CN100555863C (en) | 2007-06-25 | 2007-06-25 | Utilize cascade integral comb filter to realize the method and apparatus of bandpass filtering |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102468815A (en) * | 2010-11-04 | 2012-05-23 | 海力士半导体有限公司 | Filter circuit and integrated circuit including the same |
| CN104539252A (en) * | 2014-11-27 | 2015-04-22 | 北京星河亮点技术股份有限公司 | Method, device and equipment for realizing zero gain of CIC (Cascade Integrator Comb) filter |
| CN104901765A (en) * | 2015-05-20 | 2015-09-09 | 清华大学 | Data demodulation method and system based on FPGA |
| WO2016127823A1 (en) * | 2015-02-10 | 2016-08-18 | 东南大学 | Radio frequency high-q value band-pass filter |
| CN107561334A (en) * | 2017-08-29 | 2018-01-09 | 中国科学院合肥物质科学研究院 | A kind of digital signal processing method for direct current long pulse current measurement |
| CN108647422A (en) * | 2018-05-03 | 2018-10-12 | 天津芯海创科技有限公司 | port delay constraint method and device |
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| CN109976565A (en) * | 2017-12-27 | 2019-07-05 | 联咏科技股份有限公司 | For handling the signal processing circuit of the sensing signal from touch panel |
| CN110071732A (en) * | 2019-04-16 | 2019-07-30 | 苏州磐启微电子有限公司 | A kind of low-consumption wireless method of reseptance and its receive system |
| CN112422105A (en) * | 2020-10-27 | 2021-02-26 | 中国人民解放军海军工程大学 | Bionic comb filter |
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| CN102468815B (en) * | 2010-11-04 | 2016-06-29 | 海力士半导体有限公司 | Filter circuit and the integrated circuit including it |
| CN102468815A (en) * | 2010-11-04 | 2012-05-23 | 海力士半导体有限公司 | Filter circuit and integrated circuit including the same |
| CN104539252B (en) * | 2014-11-27 | 2018-07-13 | 北京星河亮点技术股份有限公司 | Realize the method, apparatus and equipment of cic filter zero gain |
| CN104539252A (en) * | 2014-11-27 | 2015-04-22 | 北京星河亮点技术股份有限公司 | Method, device and equipment for realizing zero gain of CIC (Cascade Integrator Comb) filter |
| WO2016127823A1 (en) * | 2015-02-10 | 2016-08-18 | 东南大学 | Radio frequency high-q value band-pass filter |
| CN104901765A (en) * | 2015-05-20 | 2015-09-09 | 清华大学 | Data demodulation method and system based on FPGA |
| CN107561334A (en) * | 2017-08-29 | 2018-01-09 | 中国科学院合肥物质科学研究院 | A kind of digital signal processing method for direct current long pulse current measurement |
| CN107561334B (en) * | 2017-08-29 | 2020-07-31 | 中国科学院合肥物质科学研究院 | Digital signal processing method for direct-current long-pulse current measurement |
| CN109976565A (en) * | 2017-12-27 | 2019-07-05 | 联咏科技股份有限公司 | For handling the signal processing circuit of the sensing signal from touch panel |
| CN108647422A (en) * | 2018-05-03 | 2018-10-12 | 天津芯海创科技有限公司 | port delay constraint method and device |
| CN108647422B (en) * | 2018-05-03 | 2022-05-10 | 天津芯海创科技有限公司 | Port delay constraint method and device |
| CN109581042A (en) * | 2018-12-24 | 2019-04-05 | 内蒙古工业大学 | A kind of wind power generating set flickering measurement method based on DSP |
| CN110071732A (en) * | 2019-04-16 | 2019-07-30 | 苏州磐启微电子有限公司 | A kind of low-consumption wireless method of reseptance and its receive system |
| CN112422105A (en) * | 2020-10-27 | 2021-02-26 | 中国人民解放军海军工程大学 | Bionic comb filter |
| CN112422105B (en) * | 2020-10-27 | 2021-07-16 | 中国人民解放军海军工程大学 | Bionic comb filter |
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