NcutClustering_7

MATLAB符号计算，内容涵盖： 1 符号对象 2 符号微积分 3 级 数 4 符号方程求解 (MATLAB symbolic computation, covering: a symbolic object 2 sign symbol calculus equation 3 series 4)

matlab程序，PM标准扩散源码，好不容易才找到的(matlab program, PM standards for the proliferation of source code, hard to find the)

基于三次指数平滑法的青岛港集装箱吞吐量预测 资料讲述了采用三次平滑法对吞吐量的预测细节 和思路(Based on the three exponential smoothing forecast container throughput of Qingdao port information about the use of three smoothing forecasts on the throughput of the details and ideas)

现代通信系统第二版 的整个书得源代码，很全的代码，希望对同学有帮助(The second edition of modern communication systems have the source code throughout the book)

nonlinear control sliding mode

MULTIAGENTS 4 AGENTS, FORMATION PROBLEM

包括OFDM调制解调的过程以及其不同信道下误码表现(OFDM BER)

MATLAB7.8数学符号运算宝典，有助于采用新版本的matlab编程用的(MATLAB7.8 Collection mathematical symbolic manipulation can help with a new version of matlab programming using)

The two-channel QMF bank is one of the earliest and most commonly used filter bank structures.

感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则 找到给定的二分类标签数据超平面。 (PERCEPTRON Perceptron algorithm to train binary linear classifier. Synopsis: model = perceptron(data) model = perceptron(data,options) model = perceptron(data,options,init_model) Description: model = perceptron(data) uses the Perceptron learning rule to find separating hyperplane from given binary labeled data. model = perceptron(data,options) specifies stopping condition of the algorithm in structure options: .tmax [1x1]... maximal number of iterations. If tmax==-1 then it only returns index (model.last_update) of data vector which should be used by the algorithm for updating the linear rule in the next iteration. model = perceptron(data,options,init_model) specifies initial model which must contain: .W [dim x 1] ... normal vector. .b [1x1] ... bias of hyperplane. .t [1x1] (optional) ... iteration number. Input: data [struct] Labeled (binary) training data. .X [dim x num)