IntroductiontoMATLAB

说明：  该程序介绍Matlab时频分析技术及其应用，利用该程序可以分析周期信息(This program is used to get the frequence. )

用Maple和MATLAB解决科学计算问题(Using Maple and MATLAB scientific computing to solve problem)

matlab智能算法案例之一，无导师学习神经网络(The regression and classification of Extreme Learning Machine. matlab intelligent algorithm case)

这本Matlab编程是Stephen J. Chapman的经典作品，本上独特的强调自上而下的编程方法，而且在全书中皆有提醒和注意常犯的错误(This is Stephen J. Chapman Matlab programming classics, this emphasis on the unique top-down programming, but also in the book have the sound alerts and attention to common mistakes)

Euler方法解 程序，使之适用于任意右端函数f,任意步长h和任意区间[to,T]。用h=1/4,1/8,1/16分别计算初值问题 (Euler method Solutions program, which applies to arbitrary subguadratic function f, arbitrary step h and arbitrary interval [to T]. With h = 1/4, 1/8, 1/16 were calculated initial value problems)

section ZF precoding for communication systems. Regards

研究上课所讲谱分析方法，利用实验验证书中的结论，掌握各种谱分析方法，学会实验设计和实验结果分析。 所应用到的谱分析方法，包括： 1） 非参数化方法：周期图（直接法）、BT法（间接法），Welch平均周期图法 2） 参数化方法： RELAX、Capon 3） 空间谱估计：常见的DOA方法（Capon） (Experimental Objective: To study methods of spectral analysis class talking about the use of experimental verification of the conclusions of the book, to master a variety of spectral analysis methods, learn experimental design and experimental results. Experiment content: applied to the spectral analysis methods, including: 1) non-parametric methods: periodogram (direct method), BT method (indirect method), Welch average periodogram 2) parameterization: RELAX, Capon 3) spatial spectrum estimation: common of DOA method (Capon))

一维简单模型的迭代补点过程演示，补点只是采用方差最大点位置，一次添加一个新点(Up at the one-dimensional iterative process simple model demonstration, the largest variance was used up at just the point position, first add a new point)

说明：  插值滤波器,用于音频解码调制解调,滤波器系数用移位相加实现(Interpolation filter, audio decoder for modulation and demodulation, filter coefficient shift combined with the realization of)

对给定图像裁剪为384×384，对其分别进行傅立叶等变换 。。。——bianhuan.m(For a given image cut to 384 × 384, so its Fourier transform respectively. . .- Bianhuan. M)