VQ

lpc autocorrelation prediction for speech

％ File: Jakes_filter.m ％ Software given here is to accompany the textbook: W.H. Tranter, ％ K.S. Shanmugan, T.S. Rappaport, and K.S. Kosbar, Principles of ％ Communication Systems Simulation with Wireless Applications, ％ Prentice Hall PTR, 2004.( File: Jakes_filter.m Software given here is to accompany the textbook: WH Tranter, KS Shanmugan, TS Rappaport, and KS Kosbar, Principles of Communication Systems Simulation with Wireless Applications, Prentice Hall PTR, 2004.)

MATLAB数据文件的读写教程MATLAB data file read and write tutorial(MATLAB data files read-write tutorials MATLAB data file read and write tutorial)

多元线性回归,包含了具体的检验系数和输入输出，很有用(MultiLineRegression)

对信号进行常数模算法的仿真。这类算法对信号具有很好的均衡效果，且运算简单。(Constant modulus algorithm for the simulation of the signal. Such algorithms on the signal has a well-balanced effect, and simple operation.)

层次聚类算法实现(Using MATLAB to achieve an improved version of Chameleon (chameleon) algorithm)

The system is fully preemptible when this function is called. The kernel does no processing, but it passes all parameters directly to the function supplied by you. （当这个函数被调用的时候系统完全可能被抢占，内核没有处理，直接传递参数到你提供的函数。这个我觉得说的很别扭，估计是直接传递参数到OEMIoControl ）(The system is fully preemptible when this function is called The the kernel does no processing, but it passes are all the parameters directly to the function are supplied by you (When this function is called when the system is entirely possible to seize the kernel did not deal directly pass parameters to the function you provide. I think that is very awkward, and is estimated to pass parameters directly to OEMIoControl))

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

DOCUMENT FOR BASIC LEARNING OF COMMUNICATION IN VARIOUS ASPECTS.

说明：  Matlab实现多线性主成份分析(MPCA)(Matlab multi linear principal component analysis (MPCA))