nihe

This function uses SRP-PHAT with Stochastic Region Contraction (SRC) global-optimization algorithm to locate a single source using a frame of data and M microphones.

基于matlab的ASK调制程序，能够直接在matlab中运行(Based on the ASK modulation matlab procedures can run directly in matlab)

essential matlab for engineers and scientists

Derive current and voltage an electric circuit with Euler Lagrange formulism

选择其中图像中的矩形及正方形等感兴趣区域ROI(pfop fp[d p fiope f)

hvdc_vsc in matlab simpower simulink

扩展卡尔曼滤波程序，matlab 仿真。(EKF simulation)

详细介绍混沌序列 对混沌序列编程的指导十分有用 (Detailed introduction to the chaotic sequence of chaotic sequence programming guide very useful)

《精通matlab与c++混合编程》的光盘内容，是本书的源码。有很大的实际价值。()

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)