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利用matlab自带函数写的细胞分割的程序，细胞分割的Matlab代码(MATLAB code by zhao long66666666)

时变信道的频率选择性和时变性。系统的输入是一个BPSK信号。系统的时变特性使BPSK信号作为时间的函数，发生衰减和相位旋转。(Time-varying channel frequency selectivity and time variability. Input to the system is a BPSK signal. System is time-varying characteristics make BPSK signal as a function of time, the occurrence of attenuation and phase rotation.)

卡尔曼滤波的介绍，包括原理和代码等，并且是英文版(Kalman filter)

C++Premier（中文第四版）学习C++的红宝书(C++Premier（Chinese 4th edition）)

线性时不变系统的冲击响应求解及信道特性描述 幅度(Impulse response solution of linear time-invariant systems and channel characterization magnitude)

matlab 教程。。。对于没用过matlab的 可以作为入门学习(matlab tutorial. . . For matlab can not used as a learning portal)

在数学建模数据拟合中用这个matlab程序很好用(Mathematical modeling of the data used in this matlab program fit well with the)

support vector classification machine ％ soft margin ％ uses "kernel.m" ％ ％ xtrain: (Ltrain,N) with Ltrain: number of points N: dimension ％ ytrain: (Ltrain,1) containing class labels (-1 or +1) ％ xrun: (Lrun,N) with Lrun: number of points N: dimension ％ atrain: alpha coefficients (from svcm_train on xtrain and ytrain) ％ btrain: offest coefficient (from svcm_train on xtrain and ytrain) ％ ％ ypred: predicted y (Lrun,1) containing class labels (-1 or +1) ％ margin: (signed) separation from the separating hyperplane (Lrun,1(support vector machine classification% s oft margin% uses "kernel.m"%% xtrain : (Ltrain, N) with Ltrain : number of points N : % ytrain dimension : (Ltrain. 1) containing class labels (-1 or 1)% xrun : (Lrun, N) with Lrun : number of points N : % atrain dimension : alpha coefficients (from svcm_train on xtrain and ytrain)% btrain : offest coefficient (from svcm_train on xtrain and ytrain)%% ypred : predicted y (Lrun. 1) containing class labels (-1 or 1)% margin : (signed) separation from the separating hyper plane (Lrun, 1)

截断的核范数，可用于矩阵恢复。需要知道丢失点的像素位置。该算法是 2013 PAMI上一篇文章里的算法。感兴趣的看看(Nuclear norm truncated matrix can be used for recovery. Need to know the pixel positions lost points. The algorithm is an article on the 2013 PAMI algorithms. Look interested)

Color Transfer between Images 。Erik Reinhard, Michael Ashikhmin, Bruce Gooch,and Peter Shirley University of Utah