pso

多核程序设计比较好的资料。Windows的代码资料，比较全面实用可靠(multiple core program design)

说明：  matlab的mapminmax函数（投影映射），在使用libsvm中没有它总是报错~~(The mapminmax matlab function (projection map), in the use of libsvm not it always error ~ ~)

function [s,y,SUM]=FFD(a,b) 装箱问题的首次降序算法(a besr way to solve the question)

工程师和科学家们面临着用更少的时间建立复杂系统模型的需求，他们使用分布式和并 行计算来解决高性能计算的问题。这些分布式的环境由多处理器和多核计算机来实现。 Mathworks公司开发的分布式计算工具箱可以在多处理器计算环境中使用 MATLAB 和imulink 解决计算、数据密集型问题。可以使用该工具箱解决通过装配多个处理器包含几个单独工作单位或单个大型计算的问题。这些处理器可以驻留在一个多处理器计算机，或者，当工具箱配合 MATLAB 分布式计算引擎时，驻留在计算机集群上。(Engineers and scientists are facing with less time to build models of complex systems needs, they use distributed and parallel computing to solve the problem of high-performance computing. The distributed environment consists of multi-processor and multi-core computer to achieve. Mathworks Distributed Computing Toolbox, developed in multi-processor computing environment MATLAB and imulink solve computing, data intensive problems. You can use the toolkit to solve multiple processors by assembling several separate work units or containing a single large-scale computing problems. These processors can reside on a multi-processor computer, or, when the toolbox with MATLAB Distributed Computing Engine, it resides on a computer cluster.)

讲述了合成孔径雷达的基本原理，针对点目标模型进行了理论分析(Tells the story of synthetic aperture radar s basic principle, for a target model are analyzed in theory )

This is very useful book for engineer and scientist, is signal processing area.

Ｍ＝４正交信号时数字通信系统进行蒙特卡罗仿真程序，当均值分别等于０，０.１，１.０，２．０时完成１００００个比特的仿真并求出误比特概率。绘出理论误码率和蒙特拉罗仿真的差错率并进行比较这俩个结果，并绘出每个均值情况下判决器的１０００个接受信噪比抽样(M = 4 orthogonal signals in digital communication systems Monte Carlo simulation program, when the mean, respectively, equivalent to 10,000 completed 0,0.1,1.0,2.0 simulation bit and bit error probability are obtained. Mapping theory and蒙特拉罗BER simulation这俩error rate and compare results, and the mean circumstances of each mapped)

Neural network indirect gradient implementation using matlab

噪声信号功率谱分析，适合从事振动噪声信号处理的工程师或学生学习(Power spectrum analysis in matalb)

Gradient information serves several purposes. It can relate the structure of objects in an image, identify features of interest for recognition/classification directly or provide the basis of further processing for various computer vision tasks. For example, "edges," noted by regions of high gradient magnitude, are central to the task of identifying defects in circuitry. A sample "edge-detected" image using the Image Processing Toolbox for MATLAB is shown where locations marked by white are those points that are indicative of high gradient magnitude, which can also be described as regions of high pixel contrast.