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best papers in matlab image processing and vlsi topics "LAST BENCH"

1、掌握用MATLAB计算拉格朗日、分段线性、三次样条三种插值的方法，改变节点的数目，对三种插值结果进行初步分析。 2、掌握用MATLAB作线性最小二乘的方法。 3、通过实例学习如何用插值方法与拟合方法解决实际问题，注意二者的联系和区别。(1. Grasp by matlab calculating Lagrange, segement linear, 3rd order spline these 3 interpolation method. Analisize the 3 interpolation results by changing the No. of points. 2. Grasp the method of linear minimun 2 product mehtod using matlab. 3. Solve the practical problems though the study of example of how to use interpolation and fitting method. Pay attention to the relation and difference of the 2 methods.)

Automatic Gray-Scale Image Thresholding methods: Tsai, Prewitt, Rosenfeld, Otsu, Kittler, Ridler.

一个QPSK调制解调的程序，在Matlab环境下实现。(A QPSK modulation and demodulation process in Matlab environment to achieve.)

基于matlab的语音信号处理，word整体打包(The voice signal processing based on matlab)

利用matlab实现两幅图像之间的相似性度量，主要是基于颜色直方图(Between two images using matlab to achieve similarity measure is mainly based on color histogram)

分支定界法解整数线性规划问题，在matlab 的环境下使用(linear optimization)

Calculate speed and acceleration of mechanism

该段程序是实现支持向量机的重要支撑，对于初学者来说有很大的帮助(This procedure is to realize the important support of support vector machine (SVM), is of great help for beginners )

说明：  假如数据中有N 个变量，而我们想抽取的样本的数量是M,那么在对数据进行抽样的时候，这种方法首先会把N个变量的设计空间均匀的划分开为M份，然后在每个划分好的区域中随机的抽取一点，最后，从这M个变量里，随机挑选之前选好的点，构成我们的样本(If there are n variables in the data, and the number of samples we want to extract is m, then when sampling the data, this method will first divide the design space of n variables into M parts evenly, and then randomly extract a point in each divided area. Finally, from the m variables, randomly select the previously selected points to form our sample)