Generation of Gaussian White Noise Using MATLAB for Editing and Simulation
Generating Gaussian white noise with zero mean using MATLAB for editing and simulation purposes, including implementation methods and key function descriptions.
Generation of 1000 Samples of Zero-Mean Unit-Variance Gaussian White Noise
Generate 1000 samples of zero-mean unit-variance Gaussian white noise and estimate the autocorrelation sequence of the random process, including implementation using MATLAB's randn function and autocorrelation estimation techniques.
Gaussian White Noise Generation Function with Zero Mean and Specified Variance
Functions for generating Gaussian white noise with zero mean and specified variance, along with complex Gaussian white noise generation capabilities, including MATLAB implementation examples and algorithm explanations.
Generation of Gaussian White Noise, Colored Noise, and General Noise
This program generates Gaussian white noise, colored noise, and general noise for MATLAB simulation experiments. It includes parameter controls for power spectral density, frequency range, mean, and variance.
Kalman Filter MATLAB Implementation Example with Sinusoidal Signal and Gaussian White Noise
MATLAB implementation of Kalman filter demonstrating filtering results for sinusoidal signals contaminated with Gaussian white noise, including a standalone Kalman filter program that can be directly used in various applications
Gaussian White Noise Generation
In communication systems, signals are often superimposed with noise during transmission, and Gaussian white noise is commonly used for analysis. This program generates Gaussian white noise with customizable parameters such as mean, variance, and signal length.
Simulation of Anti-Jamming Performance Against White Gaussian Noise in Direct Sequence Spread Spectrum
Simulation of anti-jamming capability against white Gaussian noise in direct sequence spread spectrum systems with code implementation insights
MATLAB Implementation of a 2x2 MIMO System with V-BLAST Encoding and ZF Receiver
This project demonstrates a 2x2 MIMO system featuring V-BLAST encoding at the transmitter, Rayleigh fading channel with additive white Gaussian noise (AWGN), and zero-forcing (ZF) receiver implementation achieving optimal signal recovery performance. The MATLAB code includes signal generation, channel modeling, and receiver processing modules.
MATLAB Implementation of DSB Modulation and Demodulation with Noise and Filtering
Complete DSB modulation and demodulation system simulation featuring Gaussian white noise injection and bandpass filtering, demonstrating signal processing chain implementation
QPSK Modulation and Demodulation Channel with Rayleigh Fading and AWGN
QPSK modulation and demodulation channel with Rayleigh fading and additive white Gaussian noise, enabling analysis of power spectrum waveforms and constellation diagrams through MATLAB simulation implementation