Codes_PLS

本文说明 vb与matlab连接的教程(This article explains to connect vb and matlab tutorial)

循环双端队列的元素插入，删除，以及输入输出(Double-ended queue, circular element insertion, deletion, and the input-output)

.0 (MultiStyle ProgressBar)

A hex file extremely useful for all

最大似然（ML）准则和最大后验概率（MAP）准则，多机电力系统仿真及其潮流计算，采用的是脉冲对消法。( Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Multi-machine power system simulation and flow calculation, It uses a pulse of consumer law.)

CodeProject网站上下载的关于matlab与C#,MATLAB与VC混合编程的资料，很全(CodeProject web site to download on matlab and C#, MATLAB and VC mixed programming information, it is all)

第二个：matlab 和C++联合用于SLSVM，另外一种风格的(the second file: matlab and c++ together for SVM)

文章有utd对爬行波进行循迹 给出微分几何算法 可在matlab 及vc来开发(Utd article has crawling wave of differential geometry tracking algorithm is given in the matlab and vc to develop)

这是核函数独立分量分析KICA的源码和相关程序，希望大家用得上。(This is a kernel independent component analysis of the source KICA and related procedures, I hope everyone useful.)

基于蒙特卡洛方法的主动声纳信号检测性能分析.主动声纳信号检测性能的分析上,目前在计算机仿真中一般假定混响包络的统计特性符合瑞利分布模型。基于此模型,已经有了较完善的理论。然而,在现代高分辨声纳系统中,混响包络的统计特性并不符合瑞利分布模型。此时在接收机工作特性分析时存在大量繁琐的公式推导。因此该文采用蒙特卡洛(M onte Carlo)统计试验方法,实现对瑞利分布混响背景下的主动声纳信号检测性能分析。结合对接收机工作特性曲线的仿真,得出了检测概率的理论值和仿真结果的误差曲线。误差曲线表明,蒙特卡洛方法在主动声纳信号检测的性能评估中是可行的。 更多还原 (Active sonar signal detection performance analysis, computer simulation is generally assumed that the statistical properties of the reverberation envelope distribution model of Rayleigh active sonar signal detection performance analysis based on the Monte Carlo method. Based on this model, has been a better theory. However, in the modern high-resolution sonar system, the statistical characteristics of the reverberation envelope does not comply with the Rayleigh distribution model. At this point in the receiver operating characteristic analysis, there is a lot of tedious formula derivation. In this paper, using the Monte Carlo (M onte Carlo) statistical test methods, active sonar signal detection performance analysis reverberation background Rayleigh distribution. The receiver operating characteristic curve simulation obtained the error curve of the theoretical value and the simulation results of the detection probability. The error curve shows that the Monte Carlo method in the assessm)