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SAR信号处理程序，配有详细说明，请打开后查看，matlab编程(SAR emulation)

基于matlab写的一个道路障碍物识别，可检测道路障碍物，利用数字图像处理相关知识，如平滑，边缘检测等(Based on MATLAB write a road obstacle identification, can detect road obstacles, the use of digital image processing related knowledge, such as smooth, edge detection, etc.)

This code is a solution for TSP problem with tabu search.

matlab code for cohernt communication systems in analog communications.

稀疏性学习的工具包，包含说明文件和工具m文件(Sparse learning toolkit, including documentation and tools m file)

new technology to classify the wave file using neural network

Dc Dc converter circuit

信号的频谱分析及MATLAB实现_张登奇(2)(Signal spectrum analysis and MATLAB _ Zhang Dengqi (2))

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)

uwb无线电基础书本（电子工业出版社）的MATLAB程序(UWB radio based on books (Electronic Industry Press) the MATLAB program)