Time-Domain and Frequency-Domain Signal Analysis
Computation of various time-domain and frequency-domain signals and spectral analyses
Course Design for Principles of Automatic Control
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.
Acquisition and Analysis of Electromyographic Signals from Biceps Brachii During Flexion-Extension Movements
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.
Time Domain and Frequency Domain Analysis of Audio Signals Using MATLAB
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.
Frequency Domain Analysis and Simulation of Digital Image Signals
This MATLAB implementation performs 2D Fourier frequency domain analysis on digital images, including image reconstruction from amplitude spectrum and phase spectrum. This example demonstrates why phase information is more critical than amplitude in image processing, featuring practical code implementations for spectrum analysis and reconstruction techniques.
MATLAB Code Implementation for Audio Recording
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.
Signal Processing Through Filters with Time-Frequency Domain Analysis of Output Signals
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.
Time and Frequency Domain Analysis of BPSK Modulation in Ultra-Wideband (UWB) Systems
Conduct time-domain and frequency-domain analysis of BPSK modulation in UWB systems, including waveform generation techniques and spectral characteristic plotting with MATLAB/Python implementation examples
Simulation of MTI High-Pass Filter Using Simulink
A Simulink-based simulation program for MTI (Moving Target Indicator) high-pass filter implementation, featuring Gaussian colored noise as input signal with comprehensive time-domain and frequency-domain analysis capabilities for output evaluation.
Frequency Domain Analysis of Discrete Signals
1. Master discrete signal spectrum analysis methods including Sequence Fourier Transform, Discrete Fourier Series, Discrete Fourier Transform, and Fast Fourier Transform, with emphasis on understanding their interrelationships and implementing them using MATLAB's fft(), ifft(), and related functions. 2. Develop practical MATLAB implementation skills for spectral analysis through hands-on coding exercises involving signal generation, windowing functions, and frequency spectrum plotting. 3. Understand FFT algorithm principles focusing on radix-2 decimation techniques and learn to apply FFT subroutines for efficient signal processing applications.