CreatingGraphicalUserInterfaces

Recursive weighted partial least squares (rPLS): an ef fi cient variable selection method using PLS

分形算法与程序设计Visual C++实现完整版。介绍了许多分形算法，并给出了算法实现的关键部分。(To realize the full version of fractal algorithm and program design of Visual C++. Introduced many fractal algorithm, and gives the key part of the algorithm to achieve.)

SNMF 算法在MATLAB平台上的实现，包括源代码，说明等(SNMF experiment on MATLAB)

Binary for PCSE Updated and packed with an unkown packer

MIMO技术，信噪比SNR和误码率BER的关系对比图像，MATLAB仿真程序代码(MIMO technology, signal-to-noise ratio SNR and bit error rate (BER) the relationship between contrast images, MATLAB simulation program code)

水文时间序列 每旬的极端事件计算，该指标用于混沌计算前期处理(Hydrologic time series of extreme events is calculated every ten days, the index is used to calculate the pre-treatment of Chaos)

rar文件解压源码,为rarlab公司发布(source code for unrar-5.2.6,uppack the .rar files,for multi-os )

tutorial of OpenCV and Matlab

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)

char和CString之间赋值的问题，包含char* 转化成 CString，CString 转化成 char* ，BSTR 型转化成 CString 型等等。(between the char and CString assignment problem with char* into a CString, CString into a char*, BSTR type into CString type and so on.)