for_pdn2

DS证据推理的置信函数（bel）的计算函数，详细使用见该文件内的帮助说明(DS evidential reasoning confidence function (bel) calculation function, see the document in detail the use of the help that)

窄高斯随机过程的Matlab的程序有寻求的自己下来(Narrow Gaussian random process of Matlab the process by seeking their own down)

说明：  基于BMP图像格式调色板排序的的信息隐藏算法(Palette based image format BMP sort of information hiding algorithm)

MATLAB的帮助说明，中文版本，对于英文版本的MATLAB学习很有帮助(MATLAB help explain, the Chinese version, English version of MATLAB for studying very helpful)

BNB20 Finds the constrained minimum of a function of several possibly integer variables. ％ Usage: [errmsg,Z,X,t,c,fail] = ％ BNB20(fun,x0,xstatus,xlb,xub,A,B,Aeq,Beq,nonlcon,settings,options,P1,P2,...) ％ ％ BNB solves problems of the form: ％ Minimize F(x) subject to: xlb <= x0 <=xub ％ A*x <= B Aeq*x=Beq ％ C(x)<=0 Ceq(x)=0 ％ x(i) is continuous for xstatus(i)=0 ％ x(i) integer for xstatus(i)= 1 ％ x(i) fixed for xstatus(i)=2 ％(BNB20 Finds the constrained minimum of a fu nction of several possibly integer variables. % Usage : [errmsg, Z, X, t, c, fail] =% BNB20 (fun, x0, xstatus, xlb, xub, A, B, Aeq, Beq, nonlcon. settings, options, P1, P2, ...)%% BNB solves problems of the form : Minimize% F (x) subject to : xlb)

图像的2D—3D转化，有分割，区域标记，深度分配三部分。(image 2D to 3D include 3 parts,divid ,mark and depth.)

一篇关于递进多目标优化的文章，对算法的说明比较详细(An article on the progressive multi-objective optimization articles, more detailed description of the algorithm)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

TDCS_OFDM Multicarrier CDMA

说明：  通过在MATLAB平台上比较BP神经网络的三种训练方法－trainbr traingdm trainlm.并且网络中加入噪音！(through MATLAB platform comparison BP neural network training method for the three-trainbr traingdm trainlm. Network and add noise!)