cdhmm

The DocPolynom to Character Converter The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate. The char method uses a cell array to collect the string components that make up the displayed polynomial. The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB. Here is the char method.

用来绘制地震波形曲线，在石油地震勘探以及其他地震研究领域都很实用。(Plot seismic data using wiggles in seismic exploration researchment.)

this script is used to calculate the eigenface of a group of photos. whitch can help to implement an algorithme of identification like PCA

基于matlab的有限差分法程序，计算无限长金属槽的槽内电压(Based on the finite difference method matlab program to calculate the tank voltage infinitely long metal trough)

这个程序实现了基于OFDM系统的信道估计DFT算法的实现(This application implements the DFT channel estimation algorithm based on OFDM system implementation )

cma的MATLAB仿真程序，已经仿真过，供大家参考(cma of the MATLAB simulation program has been simulated for reference)

本章介绍MATLAB在概率统计中的若干命令和使用格式，这些命令存放于MatlabR12ToolboxStats中。(This chapter describes the MATLAB in probability and statistics in a number of commands and use format, these commands stored in MatlabR12 Toolbox Stats in.)

该代码可求解点云数据中每一个点到A、B、C所确定的平面的距离(The code can solve the distance from each point in point cloud data to the plane determined by A, B and C.)

Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the adaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.

先进pid matlab 仿真 刘金琨 第版 第一章程序 pid matlab simulink liujinkunc hap01_5.rar (Liu Jinkun advanced first pid matlab simulation program version of the first chapter pid matlab simulink liujinkunc hap01_5.rar)