Multiple Windowing Operations for Signal Processing in Modern Applications
Implementation of various windowing operations in modern signal processing, including Hamming window and Hanning window with code-based algorithmic explanations
Explore MATLAB source code curated for "hamming窗" with clean implementations, documentation, and examples.
Implementation of various windowing operations in modern signal processing, including Hamming window and Hanning window with code-based algorithmic explanations
A comprehensive implementation of Hamming window weighted nonlinear frequency modulation for pulse compression processing with MATLAB demonstration
FIR filter design primarily utilizes Hanning window and Hamming window methods with practical implementation approaches.
This document reports on radar systems implementing pulse compression through matched filtering with a sampling frequency of fs=420MHz, simulating radar echoes, and plotting pulse compression waveforms before and after Hamming window application. Additionally explores Dechirp-based pulse compression with reference distance at (0,0), 10MHz sampling frequency, and 512 range sampling points, including waveform comparisons with/without Hamming window.
Designing FIR digital filters using various window functions. Implementation of linear phase FIR low-pass filters using rectangular window and Hamming window methods. Specifications include passband cutoff frequency and unit impulse response h(n) length of N=21. The implementation involves plotting h(n) and its magnitude-frequency response characteristics, with code descriptions for filter design parameters and frequency response visualization.