statcom_48pulsewind

头脑风暴优化算法，群体智能算法中新兴的一种(Brainstorming optimization algorithms, swarm intelligence algorithm emerging as a)

Rosen梯度投影法解约束优化问题minf（x）；Ax>b 的算法，其中约束条件为线性约束，A为约束系数矩阵，b为约束向量。基本思路是从可行点出发，沿着目标函数减小的方向搜索求出新的可行点，如此迭代下去。(Algorithm of gradient Rosen projection method for solving constrained optimization problems)

编程珠玑（第二版）中英双语版，附源代码，是本不错的代码优化指导书(Abas Programming (second edition) in both Chinese and English version, with source code, is the good code optimization guide book)

详细介绍MATLAB应用，以解决各种问题，涉及各专业领域。(Details MATLAB application)

数据挖掘中经典算法实现，可以节省不少时间哦(matlab code for classical algorithms in Data Mining)

人眼感知对比度阈值模型的matlab仿真(The human eye perceives contrast threshold matlab simulation model)

Sensoer code is realted to loacalization that is written in matlab programming..

说明：  米特拉的数字信号处理代码，包括fir,iir等滤波器设计文件 (Mitra digital signal processing code)

运用matlab编写，可用于一维信号压缩，经验证应用效果较好。(Using matlab prepared for one-dimensional signal compression, proven applications better.)

可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络(Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.)