Speech Denoising Low-Pass Filter Using Hamming Window

MATLAB 838B 274 views 0 downloads 1 credits
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Resource Overview

A MATLAB-based speech denoising low-pass filter implementation using Hamming window design. The provided MATLAB code (self-developed, fully executable when copied to .m file) implements windowed FIR filter design with frequency response visualization and signal processing capabilities.

Detailed Documentation

This speech denoising low-pass filter is designed using the Hamming window method and can be implemented by running the accompanying MATLAB program (self-developed and directly executable when copied to a .m file). The Hamming window, a widely-used signal processing tool, effectively reduces noise while preserving speech signal clarity through its optimized side lobe characteristics. The implementation involves FIR filter design using the windowing method, where the Hamming window function is applied to an ideal low-pass filter's impulse response to create a practical finite-length filter. Key MATLAB functions employed include hamming() for window generation, fir1() for filter design, and filter() for actual signal processing. This filter enhances speech quality by attenuating high-frequency noise components while maintaining fundamental speech frequencies, effectively removing unnecessary noise interference through frequency-domain filtering techniques.

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