很好用的虚拟阵元进行DOA估计，matlab源程序

<simulink仿真>的电子版，详细讲解matlab中的simulink。(<simulink仿真> electronic version, matlab elaborate on the simulink.)

说明：  matlab手册。学习matlab必须的资料哦~(matlab manual. Information necessary to learn matlab Oh ~)

C语言编写P-Q分解法潮流计算程序，基于BB方案，且该程序采用基于稀疏技术的因子表法进行迭代求解，以降低存储量，提高运算速度。附有IEEE5,14,30,39,118节点系统数据及潮流结果，已验证程序的可行性。(C language PQ decomposition method flow calculation procedures, based on BB plan and carry out the program uses an iterative solution technique based on sparse factor table method to reduce the storage capacity, improve processing speed. IEEE5,14,30,39,118 node system with data and trend results verified the feasibility of the program.)

使用拉亚普诺夫指数的公式，中介真值程度度量，基于中介真值程度度量的图像分割包括四元数的各种计算,Pisarenko谐波分解算法,直线阵采用切比学夫加权控制主旁瓣比，利用贝叶斯原理估计混合logit模型的参数。

Attached file contains matlab code for the ghaph based segmentation

LDA和PCA的一个程序，主要是LDA和PCA，并不是一个完整的工程，仅供大家参考。(LDA and PCA program, mainly LDA and PCA, is not a complete project, only for reference.)

PRINCIPLE: The UVE algorithm detects and eliminates from a PLS model (including from 1 to A components) those variables that do not carry any relevant information to model Y. The criterion used to trace the un-informative variables is the reliability of the regression coefficients: c_j=mean(b_j)/std(b_j), obtained by jackknifing. The cutoff level, below which c_j is considered to be too small, indicating that the variable j should be removed, is estimated using a matrix of random variables.The predictive power of PLS models built on the retained variables only is evaluated over all 1-a dimensions =(yielding RMSECVnew).

calcul de coefficient mfcc

This abstract class represents an entry in the ConstantPool. Specific types of entries are subclassed from it.

先进PID控制matlab仿真，对PID的仿真有很大帮助，内含好多源代码(Advanced PID control matlab simulation , PID simulation , containing a lot of source code )