Short-Time Fourier Transform
Time-domain representation using Short-Time Fourier Transform (STFT) with 1000 sampling points, applying windowing functions, and visualizing original signals through 3D spectrograms and contour plots.
Explore MATLAB source code curated for "原始信号" with clean implementations, documentation, and examples.
Time-domain representation using Short-Time Fourier Transform (STFT) with 1000 sampling points, applying windowing functions, and visualizing original signals through 3D spectrograms and contour plots.
M-program for speech denoising, implementing noise addition to original signal and filtering to recover clean audio, with discussion on filter selection and algorithm optimization
Techniques and algorithms for reconstructing original signals from random measurements through compressive sensing methodologies
A wavelet threshold denoising routine supporting multiple source signal types and various threshold selection methods, with implementation examples for different signal processing scenarios.
Energy detection implementation based on foundational research by Urkowitz (1967), Digham (2003), and Ghasemi (2007). This code generates original signals (single-tone or BPSK baseband), adds AWGN with specified SNR, and performs energy detection with statistical analysis of detection performance.
1. Original signal A is transmitted through a noise-contaminated channel to obtain signal q, which is then processed through ZF (Zero Forcing) and MMSE (Minimum Mean Square Error) equalizers to generate signal U with distribution plotting capabilities. 2. Implementation of LMS (Least Mean Squares), SATO (Sato's algorithm), and CMA (Constant Modulus Algorithm) to derive signal U, incorporating optimal delay calculation and mean square error computation. All results are visualized through graphical representations with MATLAB implementation examples.