Time-Domain and Frequency-Domain Signal Analysis
Computation of various time-domain and frequency-domain signals and spectral analyses
Explore MATLAB source code curated for "时域分析" with clean implementations, documentation, and examples.
Computation of various time-domain and frequency-domain signals and spectral analyses
Course design for Principles of Automatic Control featuring MATLAB programming and simulation examples including root locus analysis, time-domain analysis, frequency-domain analysis, and control system design and compensation techniques.
This study involves collecting electromyographic (EMG) signals from the biceps brachii muscle during flexion-extension exercises, followed by comprehensive time-domain and frequency-domain analysis. Key parameters including integrated EMG (iEMG) and median frequency are computed to estimate muscle fatigue progression, with implementation details for signal processing algorithms and statistical methods.
This article covers MATLAB-based analysis of audio signals in both time and frequency domains, including addition of Gaussian noise, processing with high-pass, low-pass, and band-pass filters, and waveform visualization techniques.
Audio recording program running in MATLAB environment. Capable of recording 1-6 seconds of audio and performing time-domain and frequency-domain analysis. Includes file saving functionality with WAV format support.
A comprehensive MATLAB toolkit for speech analysis developed by the Electrical Engineering Department at the University of Texas, featuring time-domain analysis, spectrogram visualization, fundamental frequency extraction, and formant measurement capabilities with implementation-focused documentation.
A MATLAB-based speech signal processing GUI that integrates time domain analysis and spectral analysis capabilities with audio recording functionality.
GPS Signal Processing with Time Domain Analysis - Includes GPS Signal Interference Programs and Time Domain Processing Techniques
Acquisition of a monaural audio signal (.wav) via WAVREAD function sampling, followed by spectral analysis. Design of low-pass, high-pass, and band-pass FIR filters using windowing method and IIR filters via bilinear transform method. Implementation through M-files to process signals through filters, with comprehensive time-domain and frequency-domain analysis of output signals.
Processing experimentally acquired human physiological signals, extracting heart sound signals, and performing time-domain and frequency-domain analysis with signal processing implementations