Aiming at shortcomings of traditional finite impulse response（ FIR） filter design method and neural network design method

a hardware implementation method of FIR filter based on improved support vector machine（ SVM） design method is proposed. Using the amplitude response of the ideal filter to train the SVM

the training parameters are optimized and the embedded system based on the FIR filter of SVM is constructed. Software implements the FIR filter’s training part and hardware implements the FIR filter’s testing part. The time of one test is about 3 500 ns

and the filtering accuracy can reach 98. 41 %. The proposed filter has a good amplitudefrequency characteristic; the boundary control is accurate.