Array Radar Signal Processing Toolbox
Array Radar Signal Processing Toolbox with comprehensive beamforming algorithms, filtering techniques, and data visualization capabilities for advanced radar signal analysis and optimization.
Mathematical Morphology Operations for 1D Signals: Erosion, Dilation, Opening, and Closing
Custom MATLAB implementation of 1D signal mathematical morphology operations including erosion, dilation, opening, and closing, designed for filtering sharp impulse signals and suitable for vibration signal preprocessing with structural element confi
Fault Feature Vector Extraction and Normalization Using Wavelet Packets
Implementation of fault feature vector extraction and normalization using wavelet packets - practical approach with partial program code from research paper
Wavelet Transform-Based Texture Feature Extraction Method
This wavelet transform-based approach extracts texture eigenvalues and can be modified to extract other feature vectors, featuring MATLAB implementations of multi-level decomposition and energy calculation algorithms suitable for beginners.
Simple FFT and Filter Implementations
Beginner-friendly implementations of Fast Fourier Transform (FFT) and basic digital filters with code explanations and algorithmic insights for signal processing applications.
Fourier Descriptors for Image Edge Analysis
Implementation of Fourier descriptors for image edges, applicable for edge detection and shape analysis with frequency-domain feature extraction.
Fractional Fourier Transform: MATLAB Simulation for Single-Component LFM Signal Detection and Parameter Estimation
MATLAB simulation implementation of fractional Fourier transform for detecting and estimating parameters of single-component linear frequency modulation (LFM) signals, featuring algorithm optimization and performance analysis code descriptions.
Fractional Fourier Transform MATLAB Implementation
A MATLAB program implementation of Fractional Fourier Transform for direct application in digital signal processing workflows, featuring optimized algorithms for efficient computation.
Processing with Multiple Filters
Application of various filters for signal processing including arithmetic mean, geometric mean, harmonic mean, contraharmonic mean, median filtering, midpoint filtering, and max/min filters with implementation approaches
Fundamental Concept of the LMS Algorithm
When avoiding the use of correlation matrices associated with estimating input signal vectors to accelerate LMS algorithm convergence, variable step-size methods can shorten the adaptive convergence process. A primary approach is the Normalized LMS (
Windowed Fourier Transform with Gaussian Window
Windowed Fourier Transform implementation using Gaussian window function for spectral analysis.
Time Delay Estimation Algorithm Based on Cross-Power Spectrum
Implementation of cross-power spectrum based time delay estimation algorithm with detailed simulation results visualization through comprehensive plotting functions
Prony Signal Processing for Low-Frequency Oscillation Mode Identification and Eigenroot Damping Ratio Extraction
Prony Signal Processing for Low-Frequency Oscillation Mode Identification and Eigenroot Damping Ratio Extraction - Algorithms and Implementation Techniques
Multiwavelet Program Collections
Several multiwavelet-based programs with no password protection, designed to facilitate signal processing implementations and algorithm understanding
Typical Broadband Signal Processing Methods with Frequency Focusing Techniques
Typical broadband signal processing methods utilizing frequency focusing techniques (CSM), with signal frequency range of 100-3100Hz, applied for localizing two broadband signal sources in far-field scenarios. Implementation involves spectral analysi
Filter Design Using Window Method
Designing High-Pass, Low-Pass, and Band-Pass Filters with Window Functions
Wavelet Threshold Denoising: Implementation and Comparative Analysis of Soft vs. Hard Thresholding Techniques
Wavelet Threshold Denoising with Code Implementation Details - Comprehensive Comparison Between Soft Thresholding and Hard Thresholding Methods in Digital Signal Processing
Professor Zhou Donghua's Strong Tracking Filter
Professor Zhou Donghua's Strong Tracking Filter program package includes two utility subfunctions and three main programs designed for different object models. All programs are error-free and can be directly executed to generate output plots.
Wigner Transform Application Implementation
This MATLAB-based Wigner transform application enables efficient signal processing with advanced time-frequency analysis capabilities, featuring built-in filtering and visualization tools for comprehensive data analysis.
Wavelet Thresholding for Signal Processing
A signal processing program based on wavelet thresholding that suppresses signal noise through adaptive threshold selection, with implementation details on threshold calculation and noise reduction algorithms.