Wavelet Transform of Signals with Hard Threshold Filtering
Performing wavelet transform on signals, implementing coefficient suppression through wavelet filtering using hard thresholding method
Amplitude Limiting Filtering Method (also known as Program Judgment Filtering Method)
This comprehensive guide covers 10 essential signal filtering methods used in data processing and noise reduction: 1. Amplitude Limiting Filtering 2. Median Value Filtering 3. Arithmetic Mean Filtering 4. Recursive Average Filtering 5. Median-Average
Hilbert-Huang Transform with EMD Decomposition and Extension Methods
Application Background: Designed for fault diagnosis applications and endpoint effect processing, this implementation provides a robust Hilbert-Huang Transform (HHT) program with practical utility. The code implements Empirical Mode Decomposition (EM
Image Texture Recognition Using Gabor Transform
Image texture recognition based on Gabor transform with algorithmic enhancements. This study presents an improved Gabor transform algorithm for texture enhancement, converting spatial domain texture images to joint spatial-frequency domain and utiliz
Radar Echo Signal Simulation Implementation Using MATLAB
Implementing radar echo signal simulation with MATLAB and its code-based approach
MATLAB Code Implementation for Wavelet Decomposition
MATLAB wavelet decomposition implementation for decomposing an image through 3-level wavelet transform and subsequent reconstruction
Joint Diagonalization Algorithm for Blind Signal Separation
Joint diagonalization algorithm for blind signal separation with configurable number of separated signals and fast computational performance
Simulation and Computation of Duffing Equation
Simulation and computational program for Duffing equation, suitable for signal processing simulations and various mathematical computations, featuring parameter configuration and vibration mode analysis capabilities.
Implementation and Comparative Analysis of Three Shock Filters in MATLAB
Implementation and comparison of three shock filters in MATLAB: Osher-Rudin [OR90], Alvarez-Mazorra [AM94], and Gilboa-Sochen-Zeevi [GSZ02eccv, GSZ04pami]. The study includes algorithmic analysis, code implementation strategies, and performance evalu
CS and RD Algorithms for Synthetic Aperture Radar Imaging
Implementation and analysis of CS and RD algorithms for Synthetic Aperture Radar (SAR) imaging
Latest EMD Program (April 2007 Release)
The latest EMD program developed by French researchers in April 2007 represents a significant technological milestone, featuring improved signal processing algorithms and enhanced implementation efficiency.
Radar System Simulation: Techniques and Implementation
High-quality radar system simulation resources featuring downloadable programs with comprehensive code examples for studying radar signal processing techniques, including key algorithms and MATLAB/Python implementation approaches.
Essential Components of Radar Receivers
Key components of radar receivers include AD converters, mixers, high-frequency amplifiers, and intermediate-frequency amplifiers implemented through digital signal processing techniques.
ISAR Imaging for 3D Turntable Targets
This program implements ISAR imaging for 3D turntable targets using LFM signal transmission and stretch processing techniques, featuring radar signal simulation and motion compensation algorithms.
Pulse-Based Phased Array Radar Angle Measurement and Range Measurement Accuracy Program
A computational program for evaluating angle measurement accuracy and range measurement accuracy in pulse-based phased array radar systems, featuring algorithm implementations and performance analysis techniques.
Digital Image Filtering Using Wiener Adaptive Filter
Implementation Guide: This program has been successfully debugged in MATLAB 6.5. Copy all files from the "Program" directory to MATLAB's "work" directory, then type "WienerFilter" in the MATLAB command window and press Enter to execute. The implement
Strong Tracking Filter Control Detection Utility
Practical utility for control detection using strong tracking filters, offering excellent versatility through configurable parameter settings that can be easily adapted to various applications
Practical Example of Wavelet Decomposition and Reconstruction
An illustrative example of wavelet decomposition and reconstruction suitable for time series analysis and prediction, including implementation approaches!
MATLAB Implementation of FFT Transformation for Spectrum Analysis
A comprehensive Fast Fourier Transform (FFT) program designed for spectral analysis of various time-domain signals, featuring efficient algorithm implementation with windowing functions and frequency resolution optimization
Adaptive Noise Cancellation Methods
Conventional approaches for suppressing sinusoidal interference in broadband signals typically employ notch filters, which require precise knowledge of the interference frequency. However, when the sinusoidal interference frequency varies slowly and