MATLAB Implementation of Blind Signal Separation
Practical MATLAB code for blind signal separation featuring robust algorithms and user-friendly implementation
System Identification Implementation with Known Input and Output Signals
System identification implementation using known input/output signals to obtain parameters including system function magnitude-frequency response
FFT Spectrum Refinement Algorithm with Customizable Precision (Minimum Frequency Resolution)
FFT-FT: A customizable precision FFT spectrum refinement algorithm enabling adjustable minimum frequency resolution for enhanced spectral analysis.
MATLAB Code Implementation for Fractal Dimension Calculation
Calculation of fractal dimension using FFT algorithm - MATLAB Central File Exchange implementation for fractal surface analysis with spectral methods
Simulation of Time-Frequency Distribution using Wigner-Ville
Simulation of the Wigner-Ville time-frequency distribution, enabling analysis of signal characteristics by modifying signal parameters, with implementation examples using MATLAB's time-frequency analysis toolbox
Filtering Data from a MAT File Followed by Singular Value Decomposition Denoising
Filtering data from a MAT file followed by denoising using Singular Value Decomposition. The SVD denoising methodology references literature provided in the attachment, with enhanced descriptions of code implementation approaches and key algorithmic
MATLAB Source Code for Wavelet Transform Threshold Denoising
MATLAB source code implementing wavelet transform threshold denoising (includes wavelet packet denoising program)
Wavelet Transform Denoising with Enhanced 97 Lifting Scheme and Discrete Wavelet Transform MATLAB Implementation
MATLAB programs for wavelet transform denoising featuring improved implementations of the 97 lifting scheme and discrete wavelet transform, including signal decomposition, noise removal algorithms, and performance optimization techniques.
Simultaneous Computation of Discrete Fourier Transforms for Two N-Point Real Sequences Using a Single N-Point DFT
Develop a MATLAB function that utilizes a single N-point discrete Fourier transform (DFT) to concurrently compute the DFTs of two N-point real-valued sequences, and compare the results with those obtained from applying two separate N-point DFT calcul
Full-Degrees-of-Freedom Space-Time Adaptive Processing
Full-degrees-of-freedom space-time adaptive processing elucidates the spatiotemporal relationships among clutter, interference, and signals, involving techniques like covariance matrix estimation, adaptive weight calculation, and filtering implementa
Variable Sampling Rate Conversion and Polyphase Filter Implementation
Implementation of variable sampling rate conversion with polyphase filtering. This program demonstrates a complete variable sampling rate conversion pipeline including filter design, interpolation, and decimation processes. The filter design employs
Passive Filter Simulation for Buck-Boost Circuits
Simulation of passive filtering in buck-boost circuits, comprising a one-cycle control module and buck-boost circuit module with implementation insights.
Uniform Circular Array MUSIC Algorithm for Signal Elevation Angle Estimation
Performance analysis of uniform circular array MUSIC algorithm for signal elevation angle estimation under different SNR conditions, evaluated using root mean square error; implementation utilizes spectral peak search to locate maximum value coordina
Wavelet Decomposition for Wavelet Entropy Calculation and Signal Feature Analysis
Implementation of wavelet decomposition for entropy computation combined with wavelet packet techniques for signal feature extraction, specifically adapted for EEG signal analysis and characterization
Image Edge Extraction Using Laplacian Filter, Gaussian Derivative Filter, and Difference of Gaussians Filter
Simple MATLAB implementations for edge extraction using Laplacian, Gaussian derivative, and Difference of Gaussian filters with code implementation insights
Non-Local Means Algorithm: An Adaptive Spatial Filtering Approach
The Non-Local Means algorithm is an adaptive spatial filtering technique, considered an improvement over Yaroslavsky filtering and bilateral filtering algorithms, with enhanced noise reduction capabilities through weighted similarity comparisons.
Computation of Nonlinear Parameters for EEG Signals
Calculation of EEG signal nonlinear parameters, ECG signal analysis and filtering, and baseline drift removal
LMS Algorithm Training Filter Implementation
A comprehensive implementation of LMS algorithm training filter featuring adaptive filtering, equalization processing, and hard decision capabilities including three main modules: training sequence optimization, equalization filtering, and bit error
MATLAB m-file for Fast Fourier Transform Using fft Function
MATLAB m-file implementation for Fast Fourier Transform utilizing the built-in fft function with code examples and technical explanations
Wavelet Decomposition Combined with Autoregressive Linear Model for Predictive Analysis
MATLAB source code implementation combining wavelet decomposition and autoregressive linear models for time series forecasting, featuring signal processing and statistical modeling integration