slib

微型逆变器初始化，简单易学，大家互相分享源码。(Micro-inverter initialization, easy to learn, we share with one another source.)

The first scheme is based on the spatial locality of feature vectors corresponding to similar images. Learning is effected by modifying the query vector to incorporate the positive examples. The second scheme is based on “distorting” our view of the feature space. An new similarity distance between an image and the query is learned from the relevance feedback.

该程序在VC中完成了与matlab的混合编程，用vc调用matlab中的绘图函数。(The program completed in VC mixed with matlab programming, matlab call with vc the drawing function.)

语音小波去噪方法的matlab实现 比较基础 可以看看(Voice Wavelet Denoising matlab can look at the basis for comparison)

说明：  在Visual C++中调用matlab中定义的函数，可以方便利用matlab的资源(Calling Matlab defined in the function, Matlab can facilitate the use of resources)

CRectTracker（俗称“橡皮筋”类）是一个非常有意思的类，这是一个详细的的使用说明(CRectTracker (commonly known as the rubber band ) is a very interesting class, this is a detailed instructions for the use of MSWord file)

使用push-relabel方法求解最大流问题，是国外的一个研究机构编写的，速度很快。(This is an efficient implementation of the push-relabel method. See Goldberg and Tarjan, "A New Approach to the Maximum Flow Problem," J. ACM Vol. 35, 921--940, 1988 and Cherkassky and Goldberg, "On Implementing Push-Relabel Method for the Maximum Flow Problem," Proc. IPCO-4, 157--171, 1995.)

lte中turbo编译码的源代码，使用c语言开发，可用(turbo encode and decode)

Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

matlab量子遗传算法求最优,其适应度函数可以根据自身实际情况编写求适应度值最高的最优解。(Quantum genetic algorithms for optimal matlab)