matlab中实现tab的panel Tab

无监督聚类算法,能够自动聚类,不必预先给出类数,聚类精度好于常用的聚类算法.(Unsupervised clustering algorithm, can automatically cluster, do not have to give in advance the number of categories, clustering accuracy of better than commonly used clustering algorithm.)

Kalman滤波原理及源码matlab,常见的函数实现方法(Kalman filtering principle and source matlab, common function method)

Numerical Methods in Engineering with Python英文原版和代码，通过举例介绍原理和方法，再介绍如何用python实现(Numerical Methods in Engineering with Python English original and code, by way of example describes the principles and methods, and then how to use python to achieve)

Matlab for Digital Signal Processing. Over the past several decades the field of DSP has grown to be important both theoretically and technologically. A major reason for its success in industry is due to the development and use of low-cost software and hardware.

牛顿下山法算法用matlab实现源程序，完整无缺，运行无错误，正常引用！(Newton descent method algorithm implementation using matlab source, intact, run the error-free, normal reference! )

说明：  搭建BPSK+编码+交织仿真通信链路，仿真分析在不同信道条件下的不同译 码算法的误比特率性能。基于matlab，搭建BPSK+卷积编码+交织通信收发链路， 仿真参数如下： 1) 信源比特速率： 100 b R kbps = 2) 卷积编码：码率为1/2，生成多项式为（561,753） 3) 译码方式：维特比译码（硬判决译码、软判决译码（8 比特量化）） 4) 交织：行列交织，交织器深度为100bit，宽度为10； 5) 仿真点数：106(BPSK+ coding + interleaved simulation communication link)

学习bp神经网络的一个例子，有助于理解bp(bp nn MATLAB)

说明：  迭代法 最简单的方法求取一个阈值 用来分割图像(Iteration threshold method)

The Wavelet Neural Network This is simple example for using of modified Morlet neural network. Levenberg-Marquardt with numerical Jacobian calculation implemented. Easy to use with other optimization algorithem e.g GA,PSO, etc. The function "xox_lm" may be useful for other optimization problem easily. The function "xox_jacobian" may be useful for Jacobian calculation easily. The function "NN_fcn" may be used by the evolutionary based neural network. The activation function "modified Morlet" will be replaceable by others.

基于bp网络的“批处理”算法的实现的代码(The algorithm implementation process based on BP network of " batch" )