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請設計一個8位元移位暫存器，規格如下： 當控制線S1，S2輸入為00時，平行載入； 當控制線S1，S2輸入為01時，在一時脈內向右shift 1位元； 當控制線S1，S2輸入為10時，在一時脈內向右shift 2位元； 當控制線S1，S2輸入為11時，在一時脈內向右shift 3位元 (Serial Adder)

以计算样本点到聚类中心的距离为例，学到matlab中矩阵在加权指数,迭代次数和误差的相关应用(Sample points to calculate the distance to the cluster center, for example, learn matlab in the matrix in the weighted index, the number of iterations and errors related applications)

This matlab code generates UWB indoor channel impulse response described in : Cassioli, D. Win, M.Z. Molisch, A.F., "The ultra-wide bandwidth indoor channel: from statistical model to simulations," Selected Areas in Communications, IEEE Journal on , vol.20, no.6, pp. 1247-1257, Aug 2002 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1021916&isnumber=21989 All parameters of the channel were taken from the reference paper

图像滤波与傅里叶变化的matlaba源码(带注释)(Image filtering and Fourier transform of matlaba source code (with comments))

自己写的 matlab图像处理算法 中值滤波 均值滤波 高斯 腐蚀 还有超绿算法 （农业相关图像处理使用）(Write your own matlab image processing median filter algorithm Gaussian mean filter algorithm corrosion and ultra-green (agriculture-related image processing use))

This m-file applies uniform quantization on audio signal and produced the Mean Square Quantization Error

This is a useful book for practical applications in MATLAB

飞行器在某高度平飞时舵面偏角和飞行马赫数之间的关系(it describes the relationship between elevator declination and flight mach number，when flight fly on some hight.)

这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下，男、女错误率和总错误率的统计，放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时，第一步获取样本数据，存储为矩阵；第二步对矩阵的每一行求和，并除以样本总数N，得到平均值向量；第三步是应用公式（3-43）采用矩阵运算和循环控制语句，求得协方差矩阵；第四步通过协方差矩阵求得方差和相关系数，从而得到概率密度函数。 调用最小错误率贝叶斯分类器决策子函数时，根据先验概率数组，通过比较概率大小判断一个体重身高二维向量代表的人是男是女。 主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件，并调用最大似然估计求取概率密度子函数，对分类器进行训练。第二步打开“test2.txt”，调用最小错误率贝叶斯分类器决策子函数，然后再将数组中逐一与已知性别的数据比较，就可以得到不同先验概率条件下错误率的统计。 (This is the minimum error rate pattern recognition Bayes classifier design. Self- improvement prior probability in different conditions , male , female and total error rate error rate statistics , into which each array . All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions . Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector third step is to application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function . Call the minimum error rate decision Functions Bayesian)

k近邻选取，在降维的时候需要构造邻接矩阵，需要选取近邻的个数(k neighborhood selection)