101259366bpskmdm

自适应信号处理，最终的权值矩阵就是滤波器的系数，学习曲线描述其收敛特性(Adaptive signal processing, the final weight matrix is the filter coefficient, the learning curve to describe the convergence properties)

说明：  最小平方反褶积代码。地球物理科学中广泛使用的反褶积方法，使用Matlab语言编写。(least squares deconvolution code. Geophysical Sciences extensive use of deconvolution method, the use of Matlab.)

Matlab求解TSP问题的，效果很好，这是我用来做毕业设计用的，希望对你有用(Matlab for solving TSP problems, works well, this is my graduation project to do with, and I hope useful to you)

DS-CDMA 通信系统的仿真，其中的信道为瑞丽衰落信道(Simulation program to realize DS-CDMA system)

子空间匹配追踪源代码。matlab实现的函数。是学习压缩感知的入门资料。(this is a matlab code of subspace pursuit algorithm .which is helpful to study CS.)

MATLAB环境下，LTE信道模型的仿真程序(MATLAB environment, LTE channel model simulation program)

load flow by newton raphson method

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)

matlabr软件应用的图形图像处理，很专业的教材，事例很多(matlabr graphic image processing software applications, very professional materials, many examples)

人耳识别功能，可以处理人耳图像并且识别出来，是一种生物识别技术(Ear Recognition function that can handle images and identified the human ear, is a biometric technology)