Broadband Signal Generation
Generating broadband signals using MATLAB built-in functions and filtering techniques
Explore MATLAB source code curated for "信号产生" with clean implementations, documentation, and examples.
Generating broadband signals using MATLAB built-in functions and filtering techniques
Usage of mobile communication simulation in MATLAB covering fundamental operations such as signal generation and noise addition with code implementation examples
A comprehensive BPSK bit error rate simulation program featuring signal generation, additive white Gaussian noise (AWGN) integration, and BER calculation algorithms
Generation, spectral simulation, and filter transmission analysis for common communication signals (AM, FM, BPSK, MSK) with MATLAB implementation insights
DTMF source code implementation including signal generation, noise addition, transmission, reception, sampling, and decision processes with algorithm explanations
Implementation of MATLAB Graphical User Interface (GUI) programming for 1) signal generation, basic signal operations, and Fourier transforms; 2) image file reading/display, image enhancement, edge detection, and mathematical image transformations.
Implementation of MB-OFDM-UWB transmitter including signal generation, QPSK modulation, OFDM multicarrier modulation, and 802.15.3a channel structure specifications
Complete source code from the book "Galileo Signal Generation and Simulation Analysis," including multi-band navigation signal generation, ranging programs, BOC signal spectral correlation characteristics, plus additional BOC signal routine examples with implementation details.
Cyclic theory-based MATLAB programs for generating rolling bearing simulation signals with added noise interference, featuring signal modeling algorithms and customizable parameters for various operating conditions.
A self-developed signal generation and processing software built on MATLAB 7 platform. It implements deterministic and stochastic signal generation algorithms, various digital filter design methods (FIR/IIR), spectral analysis using FFT algorithms, and post-filtering frequency domain analysis. This tool provides practical implementation examples for Signals and Systems and Digital Signal Processing courses, featuring GUI-based parameter configuration and real-time visualization of signal waveforms and spectra.