Explore MATLAB source code curated for "模糊函数" 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.
Implementation of ambiguity function computation and plotting for arbitrary signals, with successful testing on Barker codes, linear frequency modulation (LFM) signals, and pulse signals. Includes MATLAB-based algorithmic implementation for time-frequency analysis and signal characterization.
Single pulse signal generation in short-range mode, including spectrum diagram, ambiguity function plot, ambiguity contour map, autocorrelation function graph, and Doppler sensitivity analysis with code implementation approaches
Implementation of ambiguity function plotting for BPSK Barker codes using time-frequency conversion method, including time-delay (τ) cross-sections, Doppler frequency shift (fd) cross-sections, and ambiguity diagram visualization techniques with MATLAB code examples.
Comprehensive guide covering single pulse radar signal waveform generation, ambiguity function calculation, and graphical representation with code implementation details
Frequency Step Signal Ambiguity Function with Ambiguity Diagram Simulation, Time Domain Waveform Analysis, and Spectral Analysis
MATLAB simulation implementation of pseudo-random code ambiguity functions and their correlation properties, including code generation algorithms and cross-correlation analysis
Input Parameters: taup Pulse Width - The duration of the pulse signal, a critical parameter for signal analysis and ambiguity function computation. In MATLAB implementations, this parameter typically defines the time-domain extent of the pulse waveform and affects the resolution properties in matched filter processing.
Analysis of ambiguity function performance between OFDM and OCDM modulation techniques in integrated radar-communication applications, with code implementation considerations for signal processing algorithms.
MATLAB implementation of M-sequence ambiguity function generator producing 2D and 3D simulation plots with comprehensive data analysis capabilities