MATLAB

<现代通信系统(第二版)>里面的所有Matlab程序！(Contemporary Communicaton Systems Using Matlab and Simulink(Second Edition))

Harris Corner Detector GUI

matlab作图工具介绍，还有完成的功能，学术帝需要的(introduction matlab mapping tools, as well as complete function)

说明：  通信仿真及实例详解。对matlab学习者很有帮助啊(communications simulation and example explanation. Right Matlab learners helpful ah!)

mos评分，可以将最近流行的压缩感知运用到一起，对压缩还原后的语音进行评测(Mean Opinion Score )

自定义结构体 对照片的一些属性信息 进行赋值 并可以输出其值 可以扩展(set and input some information of attibute )

this file is about band structure of 3d photonic crystal.in this program we use the pwe methode for calculation of band structure

逻辑运算等避免冗杂快速写代码的方法 尤其是矩阵数组的经典(fast writing codes)

Simulnk动态仿真教程 1 Simulink基本操作 2 模块库和系统仿真 3 子系统创建与封装 4 Simulink仿真举例 (Simulnk dynamic simulation 1 Simulink Tutorial 2 Basic Operation and System Simulation Blockset 3 subsystems to create and package 4 Simulink simulation example)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)