Professional MATLAB source code with comprehensive documentation and examples
An EMD decomposition program featuring instantaneous frequency calculation, instantaneous amplitude extraction, marginal spectrum analysis, and Hilbert spectrum visualization with MATLAB implementation
A MATLAB-based multi-rate signal processing program, designed to facilitate signal analysis with detailed code explanations and practical algorithm implementations.
This document presents the schematic diagram of a linear adaptive equalizer (refer to "Introduction to Modern Digital Signal Processing" p.275 for illustration) implemented using the LMS algorithm. Key implementations include plotting the mean-square
Mirror extension of signal endpoints can be used to eliminate edge effects caused by Hilbert transform. This technique involves replicating signal segments symmetrically at both ends to create seamless transitions for improved spectral analysis.
Implementation of a half-band filter with 2x interpolation for efficient signal filtering and rate conversion
Fundamentals and Practical Implementations of Hilbert-Huang Transform for Signal Processing Applications
Self-developed SVD-based denoising program that simultaneously removes noise and separates signal components of different frequencies, featuring frequency-domain signal decomposition capabilities.
The Frequency-Locked Loop (FLL), also referred to as an Automatic Frequency Control (AFC) loop, employs a feedback mechanism to adjust input frequency variations, ultimately achieving precise frequency tracking. Widely used in radar and satellite nav
MATLAB implementation of Hilbert-Huang Transform's EMD decomposition - Understanding this code reveals the core principles of this advanced signal processing technique, including adaptive signal decomposition and intrinsic mode function extraction al
Comprehensive EMD algorithm implementations developed by G. Rilling's research team, featuring detailed code structure and practical application examples
Implementation of signal frequency tracking using PAST algorithm for subspace analysis and MUSIC algorithm for frequency estimation, featuring code implementation details and performance analysis
FFT analysis program that performs harmonic analysis on input signals, extracting frequency and amplitude information using Fast Fourier Transform algorithms.
This method employs wavelet denoising techniques to detect the presence and precise location of radar echoes, enhancing signal clarity through advanced noise reduction algorithms and wavelet coefficient thresholding implementations.
MUSIC Algorithm for Direction of Arrival (DOA) Estimation with Code Implementation Details
Prony analysis is a highly effective method for extracting system oscillation mode characteristics, capable of directly estimating oscillation frequency, damping, amplitude, and initial phase from system responses under given input signals. This pape
Computes power spectral entropy and extracts fault feature vectors using signal processing algorithms including FFT, spectral analysis, and entropy calculations.
Radar single point imaging simulation with core data processing methods closely aligned with measured data approaches
This program implements artificial seismic wave simulation using the Kanai-Tajimi power spectrum combined with the trigonometric series method, incorporating Du Xiuli's modifications for high-frequency and low-frequency components with additional ad1
Wavelet Packets: Integrating multiple wavelet packet research papers to provide a comprehensive conceptual understanding, enabling clear insights into wavelet packet theory alongside practical guidance for using MATLAB's Wavelet Toolbox with code imp
MATLAB implementation of power spectral density estimation using Welch's modified periodogram method and Thomson's multitaper method for stationary random signals