Vega

一些关于卡尔曼滤波方面的资料，集锦类型，仅供参考(Some aspects of the information on the Kalman filter, highlights the type of reference)

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)

this is simple sample of Hopfield neural network main file: Hopfield.m

performance comparaison of NSC and RSC convolutional encoder

说明：  常规OFDM系统容易导致ICI，为了消除ICI，在信号传输前进行编码，本系统为1/2PCC编码，提高系统效率。(Conventional OFDM system easily lead to ICI, is encoded in the signal before transmission, in order to eliminate ICI, this system for 1/2PCC encoding to improve system efficiency.)

电机模拟程序的matlab编程，是电机内部相电流的参考的生成的程序的编写，可供参考(Matlab simulation program of motor)

数值方法（MATLAB版）第四版的上机答案 语言是matlab 一般每个题目一个文件夹 主程序一般为main文件(Numerical methods (MATLAB version) fourth edition of the machine language is the answer to every problem a general matlab folder as the main file main general)

ksvd算法 自己写的 很好 直接可以发论文了(The ksvd algorithm itself writes well.You can send papers directly.)

求生物信号的滤波和归一化程序，是低频信号的在bp中应用的一部分。(Seeking biological signal filtering and normalization procedures, low-frequency signals in the bp part of the application.)

说明：  学习数字通信仿真的必备书籍，书中介绍了数字通信各个模块的matlab仿真。(Digital communication with matlab simulation！)