GUIFEIZUIJIU

An Introduction to the Mathematical Theory of Inverse Problems (Andreas Kirsch)

雷达阵列天线的天线图，学习阵列信号处理可能会用得上(Radar array antenna of the antenna diagram, learning array signal processing may need them)

写一个MATLAB程序，实现4个时间同步的CDMA用户的仿真，其中每个用户都使用长度为L=31的不同的Gold序列。每个用户都采用它们代表的Gold序列的二进制（+-1）调制。每个用户的接收端将这个复合的CDMA接收信号相关，而这个复合的信号都在它们各自的序列上受到AWGN的污损（基于按码片相加）。在N=10000信息比特下，仿真估值并画出作为SNR的函数的CDMA通信系统的差错概率。(Write a MATLAB program, the realization of the four time synchronization of the simulation of CDMA users, including the length of each user for use of the L = 31 different Gold sequences. They are used for each user on behalf of the Gold sequence of binary (+-1) modulation. Each user' s receiver will receive the composite CDMA signal, and this composite signal in the sequence of their respective defaced by the AWGN (additive based on the chip by). Information in the N = 10000 bits, the simulation value and draw as a function of SNR of the CDMA communication system the probability of error.)

基于蚁群算法的打孔机生产效能的提高matlab程序源代码(Ant Colony Algorithm)

RLS , channel equalizer

The Support Ve ct or Machi ne So fa r we have used a reference as sumpt ion tha t there exists a linear classifier that has a larg e ge ometric margin, i.e., whose decision b oundar y is we ll separa ted from all the training images (e xamples). Such a larg e margin classifier seems like one we would like to use. C an’t we find it more directly? Yes, we can. The clas sifier is known as the Support Ve ctor M achine or SVM for short.

介绍LIBSVM的函数，主要是FRUTO的改进版本的LIBSVM(introduce libsvm function)

I want to state that according to my previous month bill (M/S Gangesh kumar A/C no 400363210)was approx. INR 300 TO 400 But in month of august its INR 2000 .when complain was lodged to RO they said its software fault

混凝土框架弹塑性地震响应分析,采用三次三线性退化模型(seismic response of RC structure)

对有类别监督的数据进行先行判别分析用于降维 数据为结构体类型，返回数据也是降维后的结构体类型。如(a.X a.y)a.X是带有类别的数据，a.y是类别信息(Synopsis: model = lda(data) model = lda(data,new_dim) Description: This function is implementation of Linear Discriminant Analysis. The goal is to train the linear transform which maximizes ratio between between-class and within-class scatter matrix of projected data.)