Fundamental Program Code for Adaptive Filtering Algorithms
Basic program implementations for adaptive filters with comprehensive code explanations, providing practical assistance for signal processing applications
Wavelet Soft-Threshold Denoising Processing Method
Wavelet soft-threshold denoising processing method with program demonstration and implementation details
Grayscale Image Visualization of Discrete Cosine Transform and Discrete Fourier Transform Basis Functions
(1) Visualization of Discrete Cosine Transform (DCT) basis functions as grayscale images (2) Visualization of Discrete Fourier Transform (DFT) basis functions as grayscale images
Computing Cyclic Spectrum for Spread Spectrum Signals
Calculate cyclic spectrum for spread spectrum signals - includes implementation details for cyclic correlation algorithms, available for download with MATLAB/Python code examples
Kalman Filter MATLAB Code for Target Tracking
MATLAB implementation of Kalman filter algorithm for object tracking with comprehensive code examples and mathematical foundation.
Wavelet Packet Decomposition for Signal Analysis
Perform wavelet packet decomposition on signals to generate energy distribution maps, then process signals based on decomposition results with MATLAB implementation examples.
Modal Analysis Using Wavelet Theory
Applying wavelet theory for modal analysis to extract natural frequencies and damping ratios with signal processing techniques
Switching Median Filter, Extremum Median Filter, Adaptive Median Filter - MATLAB Implementation
This repository contains M-file source code implementations of switching median filter, extremum median filter, and adaptive median filter algorithms. The program achieves results comparable to those presented in academic papers, providing practical
Gaussian White Noise Removal Using Wavelet Modulus Maximum Algorithm
This program implements Gaussian white noise removal based on the wavelet modulus maximum algorithm, demonstrating significant noise reduction effects with optimized signal-to-noise ratio improvement.
Natural Gradient Algorithm for Blind Signal Separation
The Natural Gradient Algorithm is one of the most fundamental and effective methods for blind signal separation, leveraging information entropy and higher-order statistical properties for robust source separation.
Gaussian Function as a Low-Pass Smoothing Function for Wavelet-Based Analysis
The Gaussian function, characterized by its low-pass filtering properties, serves as a wavelet basis function for singularity analysis. Utilizing its first and second derivatives enables precise identification and characterization of abrupt changes i
Conventional Wavelet Threshold Denoising Methods
Conventional wavelet threshold denoising methods operate under the assumption that wavelet coefficients are independent, neglecting their correlations across adjacent scales, which results in an inherent trade-off between noise removal and preservati
MP-Based Signal Sparse Decomposition Algorithm
The MP-based signal sparse decomposition algorithm features straightforward implementation and computational simplicity, with broad applications across multiple technical domains. The algorithm operates by iteratively selecting optimal dictionary ato
Feature Extraction of Rubbing Fault Signals Using Wavelet Transform
Feature extraction of rubbing fault signals based on wavelet transform enables visualization of original signals, shaft centerline orbits, frequency spectra, and reconstructed signals from multi-level wavelet decomposition with MATLAB implementation
Experimental Program for Calculating Various Parameters of Vibration Signals
This experimental program computes various parameters of vibration signals, implementing key statistical and signal processing calculations including mean value, standard deviation, variance, skewness, kurtosis, peak-to-peak value, root mean square a
Kaiser Window Function Design in FIR Filter Implementation
Kaiser Window Design Methodology for FIR Filters with Corresponding Coefficient Generation
Radar System Simulation Framework
Comprehensive radar simulation program package providing a complete framework for radar system modeling and analysis, featuring modular implementation for flexible testing scenarios
Fundamental Structure of Adaptive Filters and Least Mean Square Error Algorithm (LMS Algorithm)
This paper investigates the fundamental structure of adaptive filters and the Least Mean Square (LMS) algorithm, implements MATLAB simulations to analyze algorithmic performance, deploys the algorithm on SY-5402EVM evaluation board for DSP implementa
TFBSS: A Blind Source Separation Algorithm Based on Short-Time Fourier Transform Time-Frequency Analysis
TFBSS is a blind source separation algorithm leveraging short-time Fourier transform time-frequency analysis, designed for convolutive mixture models and specialized in processing non-stationary source signals through iterative signal decomposition.
Steerable Gaussian Image Filter Implementation
Advanced steerable Gaussian image filter algorithm discovered on international technical platforms, featuring adaptable parameterization for optimized image processing workflows.