mycheby1

用 LDPC 解码法，对原始信号通道的噪声进行评估，消去。具体原理可参照IEEE TCOM的论文。(Channel Noise Estimation or correlation estimation for distributed source coding Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC models. This code is partially based on our published journal papers with some additional improvements. In this code, we removed the parameter lambda to reduce the number of free parameters. PBP estimator is distributed in the hope that is will be useful, but without any warranty. The codes have not been optimized, so the estimation speed may be slow. To use PBP estimator source code in your research, please cite our journal papers published in IEEE TCOM. )

说明：  熵权法matlab代码，直接在命令窗口输入数据即可进行计算。(Analytic Hierarchy Process Matlab Code)

Discrete Hopfield neural network classification

精通MATLAB数字图像处理与识别 chapter6 代码(Proficient in MATLAB digital image processing and recognition chapter6 code)

系统辨识与自适应控制MATLAB仿真教材里遗忘因子递推最小二乘法的参数估计的matlab实现的程序(Estimation of parameter identification and adaptive control of MATLAB simulation teaching in forgetting factor recursive least squares method system to achieve Matlab procedures)

Cyclic code programs using MATLAB software.

The carpetplot class is a tool to create four variable carpet plots and three variable cheater plots

关于正交解调的几个源码，希望对大家有所帮助。(Quadrature demodulation on several source, we want to help.)

热泵机组运行时，作为四大件之一的压缩机计算模型(Operation of the heat pump units, as one of the big four calculation model of compressor)

为了对目标进行快速的检测，提出了一种新的基于支持向量机的级联式分类器的构造方法。该级联分类器由若干个线性SVM弱分类器构成，结构简单，分类时间极快。针对级联结构中的每个节点的训练给出了一个新的SVM框架下的二次规划模型，这使得每个节点都有较高的正样本检测率和适当的负样本错检率。(In order to quickly detect the target, a new cascade based on support vector machine classifier constructor. The cascade is controlled by a number of weak linear SVM classifier structure, simple structure, classification of time fast. Cascade structure for the training of each node is given a new SVM quadratic programming model under the framework, which allows each node has a higher detection rate of positive samples and negative samples of appropriate fault detection rate.)