MATLAB-Based GPS Signal Generation and Acquisition Program
A MATLAB program for GPS signal generation and acquisition that simulates GPS signals and tests receiver performance through signal capture algorithms.
Explore MATLAB source code curated for "产生" with clean implementations, documentation, and examples.
A MATLAB program for GPS signal generation and acquisition that simulates GPS signals and tests receiver performance through signal capture algorithms.
Generate Rayleigh clutter with Gaussian power spectrum characteristics and create corresponding visualization plots, including implementation details for spectral shaping and statistical property verification.
Implementation of GMSK modulation signal generation for GSM systems using both script files and function files with comprehensive parameter configuration
Implementation of Nakagami channel generation - a frequently used program for wireless communication simulations with detailed parameter configuration methods
Implementation of dual-channel analog voice signal generation in MATLAB Simulink, featuring PCM encoding, time-division multiplexing, and DPSK modulation for unidirectional transmission through a shared channel. Key modules include Simulink, Communications Toolbox, and Signal Processing Toolbox, accompanied by comprehensive course design documentation.
MATLAB program for generating scrambling sequences used in spread spectrum scrambling for mobile communications and other fields to differentiate users. Includes implementation of PN sequence generation, XOR operations, and scrambling algorithms.
Generation of Pseudo-Random Sequences Using MATLAB with Code Implementation and Algorithm Explanations
MATLAB Simulation Program for Generating Nakagami, Rayleigh, and Other Channel Models
This MATLAB-based implementation simulates radar echo signals with dynamic variations in signal strength and echo time, providing insights into signal processing techniques and radar system behavior
Generating uniformly distributed random white noise signals and observing their data distribution through histograms, with implementation approaches using programming languages like MATLAB or Python's random number generation functions.