Professional MATLAB source code with comprehensive documentation and examples
Laboratory Manual: Low-Pass Sampling Theorem Experiment, FFT Spectrum Analysis Experiment, IIR Filter Design Experiment, Window Function Method for FIR Filter Design, Frequency Sampling Method for FIR Filter Design Experiment
This MATLAB program computes radar detection ranges under various jamming scenarios. It implements algorithms for both Stand-off Jamming (SOJ) and Self-Screening Jamming (SSJ) configurations, supporting steady targets and Swerling target models (type
This paper titled "Detection and identification of cyclostationary signals" presents an automated analysis method implemented through the function [Sx, alphao, fo] = autofam(x, fs, df, dalpha)
Empirical Mode Decomposition (EMD) program demonstrates superior signal decomposition performance compared to Wavelet Transform and STFT in certain scenarios, despite requiring substantial computational time. Key implementation aspects include siftin
Complete MATLAB code and detailed documentation (Word version) for Hilbert-Huang Transform algorithm implementation, specifically designed for mechanical fault diagnosis applications with comprehensive signal processing features.
Hilbert-Huang Transform of signals, Empirical Mode Decomposition (EMD), Hilbert processing of IMF components, 2D/3D time-frequency visualization, time-energy diagrams (instantaneous energy spectrum), frequency-energy diagrams (Hilbert spectrum) with
This algorithm implements node positioning using Least Square Estimation with Time of Arrival (TOA) measurements between transmitters and receivers. The code demonstrates the complete positioning methodology while generating a 2D visualization of the
High-quality research paper with complete source code implementation. The Hilbert-Huang Transform (HHT) represents an advanced signal processing approach for non-stationary signals, comprising two key algorithmic components: Empirical Mode Decomposit
This MATLAB-developed source code implements steganography techniques to embed hidden data (such as images) within cover images using Discrete Fourier Transform (DFT) methodology. The implementation focuses on frequency-domain data concealment throug
10 comprehensive examples covering adaptive filtering, blind equalization, decorrelation LMS algorithm, training vs decision-directed modes, noise cancellation, and adaptive filter design with implementation insights
Wavelet signal denoising demonstration featuring three distinct methodologies: default threshold denoising, forced denoising, and soft threshold denoising techniques with practical implementation insights
Design a linear phase FIR filter with length N=8 using the window method, implementing ideal magnitude-frequency characteristics through various windows: Rectangular, Hanning, Hamming, Blackman, and Kaiser (β=8.5). Includes MATLAB code implementation
This MATLAB program for HHT transformation can be executed directly in the MATLAB environment with customizable parameters and sampling points. The program generates various power quality signals (such as voltage sag, harmonics, temporary swell, and
A comprehensive MATLAB program implementing the complete Hilbert-Huang Transform methodology for time series analysis.
Frequency-invariant beamforming (FIB) plays a crucial role in distortion-free acquisition and processing of speech signals using microphone arrays. While classical FIB design methods typically operate under far-field plane wave assumptions, this pape
Algorithm for signal sparse representation based on basis pursuit with implementation insights and optimization approaches
An introductory tutorial on Short-Time Fourier Transform, designed for beginners to learn through MATLAB implementation with code examples and algorithm explanations.
Adaptive array signal processing code implementations by Zhang Xiaofei (Nanjing University of Aeronautics and Astronautics), including MUSIC algorithm, ESPRIT algorithm, ROOT-MUSIC algorithm, and other essential techniques for modern signal processin
PEAQ is fully compliant with ITU-R BS.1387, designed for high-quality audio signals with sampling frequencies ranging from 44.1 kHz to 48 kHz. The implementation involves psychoacoustic modeling and signal processing algorithms to objectively evaluat
Designing FIR digital filters using various window functions. Implementation of linear phase FIR low-pass filters using rectangular window and Hamming window methods. Specifications include passband cutoff frequency and unit impulse response h(n) len