tftb-0.1

上传几个关于线阵RLS算法、圆阵LMS算法、矩形波以及SNR的matlab源代码，都可以出图，希望对大家有用！(From a few RLS algorithm on the linear array, circular array LMS algorithm, as well as the SNR of the rectangular wave matlab source code, can be a diagram, useful for all of us hope!)

Sound synthesis with Matlab. Simple implementation of a multi-oscillator synthesizer. Includes FM modulation, 2 LFO s, 2 Env s. Good to learn the basis of sound synthesis in Matlab.

球面波干涉条纹在matlab中的计算与演示并且给出强度的三维立体图(Spherical wave interference fringes in MATLAB and gives the strength calculation and demonstration of three-dimensional map)

Induction machine power 50 kw in matlab simulink work on

基于峭度的盲源分离，使用最速下降法，适合初学者(BSS based on kurtosis by gradient)

Space-Time Codes and MIMO Systems书籍及书籍内matlab代码程序，程序非常好，对研究MIMO系统的研究人员很有用(Space-Time Codes and MIMO Systems book and matlab code)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

简单地支持向量机的测试程序，希望对你们有用,它是测试两个线性分类的。(A simple test program to support vector machine, and I hope useful to you.)

寻找一维或者二维数据的极值点，并将极值点在途中标注出来(find the extrimas in a one dimensional or two dimensional data，and simbolify the extrimas)

广义奇异值分解程序，常应用于数据处理，例如信号处理(The generalized singular value decomposition (GSVD) is a matrix decomposition more general than the singular value decomposition. It is used to study the conditioning and regularization of linear systems with respect to quadratic semi-norms.)