Cognitive-radio-spectrum--

matlab进行数字信号处理.经典最常用到的一些模块...对学数字信号的肯定有很大帮助...(matlab digital signal processing. The most commonly used in some of the classic ... of learning modules of the digital signal must be of great help ...)

分枝定界法的程序，是一种在问题的解空间树上搜索问题的解的方法。(Procedures of the branch and bound method, a solution space tree search solution.)

CGSVD Compact generalized SVD of a matrix pair in regularization problems. sm = cgsvd(A,L) [U,sm,X,V] = cgsvd(A,L) , sm = [sigma,mu] Computes the generalized SVD of the matrix pair (A,L): [ A ] = [ U 0 ]*[ diag(sigma) 0 ]*inv(X) [ L ] [ 0 V ] [ 0 eye(n-p) ] [ diag(mu) 0 ] where U is m-by-n , sigma is p-by-1 V is p-by-p , mu is p-by-1 X is n-by-n . It is assumed that m >= n >= p, which is true in regularization problems. Reference: C. F. Van Loan, Computing the CS and the generalized singular value decomposition , Numer. Math. 46 (1985), 479-491. Per Christian Hansen, IMM, 12/19/97. Initialization.

说明：  matlab实用教程，包括很多源代码，都是一些基础知识，(matlab Practical Guide, including a lot of source code, are the basis of knowledge,)

VC++中使用MATLAB的C++数学库和MCC生成的程序。(VC use MATLAB C Math Library and MCC production procedures.)

调频连续波仿真程序。完成调频连续波的调制仿真。(Frequency Modulated Continuous Wave Simulation)

用于求解分数阶混沌系统的有效程序，对学习分数阶动力学系统的同学非常有帮助。(Effective procedure for solving fractional order chaotic systems，Kinetics of fractional order system in study students are very helpful.)

说明：  Matlab格式的电力系统潮流优化计算工具箱，相当好用(Matlab format to optimize the power flow calculation toolbox, very easy to use)

Introduction to Data Mining Pang-Ning Tan chapte 4 分类基本概念课件改编版。加入 纯净度测量matlab函数，增益matlab函数，以及只有结果的例题的解题过程。(Introduction to Data Mining Pang-Ning Tan chapte the 4 classification basic concept courseware adaptation. Join purity measurement matlab function, gain matlab function, and only the results of examples of the problem solving process.)

这是对广义高斯分布中两个参数alpha,beta的估计方法，对自然图像的大量统计特征就符合这一分布。(function [f, g] = dggbeta(beta, absx) DGGBETA Derivative of generalized Gaussian pdf with respective to beta [F, G] = DGGBETA(BETA, ABSX) Return partial derivative and second order partial derivative This is an utility function for GGMLE ABSX is the distance of the data from the mean Function is undefined for negative beta if beta <= 0 f = NaN g = NaN )