Explore MATLAB source code curated for "窗函数法" with clean implementations, documentation, and examples.
The design methods for FIR digital filters are primarily based on approximating the frequency characteristics of ideal filters. These approximation approaches include the window function method, frequency sampling method, and optimal equiripple approximation method. This discussion focuses exclusively on the window function method, which has been implemented in our program through appropriate algorithm selection and parameter configuration.
Designing High-Pass, Low-Pass, and Band-Pass Filters with Window Functions
Designing FIR bandpass, lowpass, and highpass filters using the window function method enables customization of filter characteristics by adjusting program parameters. This approach provides flexibility in meeting diverse signal processing requirements through algorithmic parameter modifications.
Implementation of FIR filters in MATLAB using window function method, covering four common window types with code examples and design considerations.
FIR Digital Filter Design: Principles and methodologies using window function method, frequency sampling method, and optimal design approach, with MATLAB programming implementation for practical FIR filter design solutions.
Implementation of FIR digital filter design and simulation through both window function method and equiripple optimal approximation method, with concrete examples demonstrating practical application and code implementation approaches.
Implementation of variable sampling rate conversion with polyphase filtering. This program demonstrates a complete variable sampling rate conversion pipeline including filter design, interpolation, and decimation processes. The filter design employs window function methodology to determine optimal filter length based on requirements. The implementation compares two convolution approaches: direct convolution versus polyphase decomposition convolution, analyzing their computational efficiency and output quality for waveform processing.
Design a linear phase FIR filter with length N=8 using the window method, implementing ideal magnitude-frequency characteristics through various windows: Rectangular, Hanning, Hamming, Blackman, and Kaiser (β=8.5). Includes MATLAB code implementation details for window functions and filter design algorithms.