MATLAB Code Implementation for Phase Noise Simulation
A phase noise simulation program designed to add phase noise to sine waves, with implementation details using MATLAB's signal processing functions
Fundamental Principles of DDS Direct Digital Synthesis with VHDL Implementation and MATLAB Verification
Explains the basic principles of DDS direct digital synthesis, implements DDS source code in VHDL for sine wave generation, performs simulation on ISE development platform, and validates sine wave output results using MATLAB with detailed algorithm and code implementation analysis.
MATLAB Implementation of FFT Algorithm for Signal Analysis
MATLAB-based FFT algorithm implementation for triangular waves, sine waves, and square waves, analyzing frequency spectra of square and triangular signals while investigating the impact of sampling points and sampling frequency on spectral resolution, including code implementation details and parameter optimization techniques.
Dual Frequency Estimation in Sinusoidal Signals Embedded in Additive White Gaussian Noise
This project involves the design and implementation of a methodology for estimating dual frequencies in sinusoidal signals contaminated by additive white Gaussian noise. We derive the Cramér-Rao Lower Bound (CRLB) for the signal model and develop a nonlinear least squares frequency estimator. The implementation includes numerical validation through comprehensive simulations and performance analysis under various signal-to-noise ratio conditions.
Sine Wave, Square Wave, and White Noise Signal Generation and Analysis
1. Generate sine wave, square wave, and white noise signals using MATLAB and display their respective time-domain waveforms. 2. Perform FFT transformation to display frequency spectrum diagrams with customizable sampling rates, frequencies, and data lengths. 3. Create RMS spectrograms, power spectrograms, and logarithmic RMS spectrograms for all three signal types. 4. Reconstruct signals using inverse FFT (IFFT) and display the recovered sine wave's time-domain waveform. Includes implementation details for signal processing algorithms and MATLAB functions.
Separation of 50Hz and 100Hz Sine Waves with Wavelet Spectral Analysis Implementation
This program implements separation of 50Hz and 100Hz sine waves while providing an instructive implementation of wavelet spectral analysis, demonstrating frequency component isolation and spectral feature extraction techniques.
MATLAB Implementation for Generating Sine Waves with Signal Analysis and FFT/IFFT Processing
Generate sine waves, square waves, and white noise signals using MATLAB, display their time-domain waveforms, perform FFT analysis to show frequency spectra with customizable sampling rates, frequencies, and data lengths. Create RMS spectra, power spectra, and logarithmic RMS spectra for all three signals. Reconstruct signals using inverse FFT and display the recovered sine wave's time-domain waveform.
Source Code Implementation of DDS Module for Sine Wave Generation
MATLAB implementation using DSP Builder tool for generating sine waves through DDS module, featuring parameter configuration and phase accumulation algorithm.
Waveform Generation Using Signal Generators
MATLAB for generating waveforms including sine waves, square waves, and other signal types with code implementation details
Generating Sine Wave, Square Wave, and White Noise Signals with MATLAB Implementation
MATLAB-based signal generation demonstrating sine waves, square waves, and white noise signals with time-domain waveform visualization, FFT practical implementation, and spectral analysis techniques