A Realization Method of Polynomial Fitting Digital Filter
A digital filter and polynomial fitting technology, which is applied in digital technology networks, electrical components, impedance networks, etc., can solve the problems of reducing the speed of digital filters and multiple resources, so as to improve the speed of transmitting signals or processing signals and reduce resources. , cost reduction effect
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Embodiment 1
[0051] In the field of signal processing, the requirements for real-time and rapidity of signal processing are getting higher and higher. In many information processing processes, such as signal filtering, detection, prediction, etc., digital filters are widely used. The implementation structure of a polynomial fitting digital filter implementation method of the present invention is as follows figure 2 Shown; input excitation signal x(n) and differential output coefficient p (m+1) (n) convolution to get the m+1 order differential output y (m+1) (n), the y (m+1) (n) Accumulate (m+1) times to obtain the filter system output y(n), and the differential output coefficient p (m+1) (n) is the key value to solve the transmission signal or processing number, in order to explain the differential output coefficient p more clearly (m+1) (n) is how to obtain, the realization method flowchart of a kind of polynomial fitting digital filter of the present invention is as figure 1 As sho...
Embodiment 2
[0077] On the basis of the implementation of the technical solution based on embodiment 1, the existing technical problems can be further optimized and improved, when p(n 1 ) is zero, output the y (m+1) (n) The number of required multiplications is 2m, then 2m multipliers are needed; when p(n 1 ) is non-zero, output the y (m+1) (n) The number of required multiplications is 2(m+1), so 2(m+1) multipliers are required. The number of multipliers used in the digital filter system is greatly reduced, greatly reducing resources and costs, and the digital filter system can process signal transmission or signal processing faster.
Embodiment 3
[0079] On the basis of implementing the technical solutions of Embodiment 1 and Embodiment 2, the problems of the prior art can be further improved, when the discrete impulse response p(n) is in [n 1 ,n 2 ] when there is symmetry, the symmetry can reduce the number of filter multipliers to y (m+1) (n) Half of the number of multipliers corresponding to the required multiplication times. Using the discrete impulse response p(n) in [n 1 ,n 2 ] On the symmetry, the number of multipliers used in the digital filter system is further reduced, greatly reducing resources and costs; the digital filter system is faster in processing signal transmission or signal processing.
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