gauseidel-jacobi-richason-SOR

一个求解半正定规划的数值算法包，包括 C 语言实现的源代码和 MATLAB 的调用接口。这是目前项目发布的最新版本 6.1.0。(Copyright 1997-2010, Brian Borchers. This copy of CSDP is made available under the Common Public License. See LICENSE for the details of the CPL. CSDP is a software package for solving semidefinite programming problems. The algorithm is a predictor-corrector version of the primal-dual barrier method of Helmberg, Rendl, Vanderbei, and Wolkowicz. This file includes binary code for SDP for Windows. doc documentation. matlab MATLAB/Octave routines for interfacing to CSDP. bin The binary code. Contact/Support: If you are having trouble running the code, see the doc directory first. The project s website can be found at https://projects.coin-or.org/Csdp/ The project s maintainer can be reached by email at borchers@nmt.edu. Please email bug reports and feature requests. )

MUSIC算法[1]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 algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

We present in this paper a new method for blind source separation which is adapted to the case where the sources have different morphologies. We show that the morphology diversity concept leads to a new and very efficient method, even in the presence of noise.

feature extraction for genatic algorithm

gilber strang files Computational Science and Engineering

这是电力系统相关的一个课程设计，运用的编程语句相对比较简单、易懂。适合对Matlab不是很熟练的学子(This is a curriculum-related power system design, the use of programming statements is relatively simple, understandable. Suitable for Matlab is not very skilled students)

利用matlab m文件，实现了接收机ROC性能曲线的绘制(Use matlab m files, to achieve the performance of ROC curves plotted receiver)

Probability of symbol and bit error for M orthogonal signals

说明：  用相空间局部投影法对加噪混沌时间序列去噪或进行混沌序列与正弦信号的分离。(phase space with local law to increase the projector noise chaotic time series denoising or chaotic sequence with sinusoidal signal separation.)

多变量广义预测的控制制算法MATLAB代码 (Multivariable generalized predictive control system algorithm MATLAB code)