Description: I prepared for this procedure the neural network type 1 FIR filter design procedures, the reader after reading this program, it is a profound understanding of how to use BP network and the LMS algorithm to design filters. Just change the procedures in H values, to generate a variety of low-pass, high pass, band-pass, band stop filter. Program is running the results of available filter coefficients, amplitude-frequency curve and the attenuation curve. Can change the iteration step size and error to adjust the filter characteristics of the limit.
- [matlab_filter] - using adaptive LMS algorithm to achieve
- [changestepadptivefilter] - variable step LMS adaptive filter algori
- [MOM_for_Antenna] - Wire antenna moment method to solve the
- [C++] - Some companies from the pen summed up qu
- [NN] - Please choose multi-layer feedforward ne
- [MFXLMS1] - Realize adaptive algorithm, the use of F
- [fxlms] - Active Noise Control Using a Filtered-X
- [BP_xiaobo] - BP algorithm based on wavelet neural net
- [voice] - This program is an implementation using
- [WienerFilter] - Made use of the Wiener filter matlab pro
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