Filter Design in MATLAB

Digital filters are central to almost every signal processing system, and 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. You can design filters using MATLAB functions or interactive tools such as FDA Tool and Filterbuilder, and can 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

• How to Design a LowPass Filter in MATLAB (Example)
• Interactive Filter Design with Filterbuilder  (Example)
• Apply an Adaptive Filter in an Active Noise Control Algorithm (Example)
• Filter Design with Arbitrary Magnitude and Phase Responses   (Example)
• Convert Floating-Point Filters to Fixed-Point and Analyze Quantization Effects (Example)
• Generate HDL Code from your MATLAB Filter Design (Example)
• Practical Tips on Digital Filter Design in MATLAB (White Paper)

View all filter design examples

Software Reference

• Filter Design Functions in DSP System Toolbox
• Filter Design Functions in Signal Processing Toolbox

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.