Filter Design in MATLAB

Design digital filters in MATLAB

Digital filters are central to almost every signal processing system. They have applications in noise removal, waveform shaping, equalization, and signal recovery algorithms.

MATLAB® and DSP System Toolbox™ provide an extensive library for filter design, analysis, and implementation. Use MATLAB functions or interactive tools such as the Filter Design and Analysis app and the Filter Builder app to design filters and include low-pass, high-pass, band-pass, band-stop, and other response types.

You can implement filters using structures like direct-form FIR, overlap-add FIR, direct-form II with second-order sections, cascade allpass, and lattice structures. For hardware implementation, you can convert your filters to fixed point and analyze quantization effects.  You can also generate HDL code from MATLAB filter designs for deployment onto FPGAs and ASICs.

Examples and How To

Software Reference

filter design library
Explore the filter design library, with hundreds of filters including simple lowpass, highpass and bandpass filters, as well as advanced designs such as Kalman, Nyquist, adative, multirate, and pulse-shaping filters.