Explore MATLAB source code curated for "脉冲信号" with clean implementations, documentation, and examples.
This source code implements comprehensive ambiguity function analysis and plotting capabilities for multiple signal types, including tested implementations for Barker codes, linear frequency modulated (LFM) signals, and pulse signals with configurable parameters.
This program provides simulation methods for calculating ambiguity functions of linear frequency modulated (LFM) signals, Barker code biphase-encoded signals, and pulse signals, implementing key signal processing algorithms with parameter customization capabilities.
This repository contains MATLAB/Python implementation examples from the book "Ultra-Wideband Wireless Communication," featuring DS-UWB (Direct Sequence UWB), MB-OFDM (Multi-Band Orthogonal Frequency Division Multiplexing), and pulse signal formation algorithms with practical code demonstrations.
Perform correlation detection on given noisy pulse signals, with detection results represented as 1s and 0s. The implementation involves reading data from text files and analyzing statistical characteristics of signals before and after filtering, including mean, variance, autocorrelation, and power spectrum. Design reference signals for correlation processing and detection. Plot both original data curves and correlation result curves to visualize signal transformations.