PerceptronRecognition

matlabfir 是一个用MATLAB设计FIR的程序，自己编的，如果有不当之处，希望斑竹帮忙看看(MATLAB importan easy)

Gaussian Distribution.

说明：  液晶空间调制器的非线性及其在闭环系统中的应用(Nonlinear liquid crystal spatial modulator and its application in the closed-loop system)

Abstract：Thearticleismainlydevotedtothetheoryaswellastheachievementonthemodulationanddemodulationofπ/ 4-DQPSKsysteminthesoftwareSystemView.Besides，thearticleanalysesthedynamicandstatic behaviorsoftheπ/4-DQPSKsystemaswellastheperformanceagainstnoiseundertheconditionofGaussnoise channel.Thecomparisonismadeonthespectrumandanti-noiseperformancebetweenπ/4-DQPSKandQPSK underthethesamechannel.Theresultofsimulationshowsthatthespectrumexpandingofπ/4-DQPSKissuperiortothatoftheQPSKsystem. Keywords：π/4-DQPSK；SystemView；computeraideddesign（CAD）；Matlab(Abstract: Thearticleismainlydevotedtothetheoryaswellastheachievementonthemodulationanddemodulationof pi/4-DQPSKsysteminthesoftwareSystemView.Besides, thearticleanalysesthedynamicandstatic behaviorsofthe pi /4-DQPSKsystemaswellastheperformanceagainstnoiseundertheconditionofGaussnoise channel.Thecomparisonismadeonthespectrumandanti-noiseperformancebetween pi /4-DQPSKandQPSK underthethesamechannel.Theresultofsimulationshowsthatthespectrumexpandingof pi /4-DQPSKissuperiortothatoftheQPSKsystem. Keywords: Pi /4-DQPSK; SystemView; Computeraideddesign (CAD); Matlab)

DCT matlab buck mfile

短路电流计算MATLAB程序，适合电力系统分析学习(Short-circuit current calculation MATLAB program for power system analysis study)

打开一幅图片，对其进行个性化处理，包括亮度调整，去除噪声，细节化等等(open an image,we process it personally,including intensity adjust,remove noise and so on)

time series In this example we will use a synthetic data set. To create our synthetic data we will make our unit of time 1000 years = 1 ky and sample a 500,000 year record in 2 ky increments. We first create a vector containing the times:

用于图着色法的蚁群算法，是Matlab文件(Matlab code.)

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱(Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance improvement: Automatically vectorize fitness functions supplied by user, if not already vectorized. * Performance improvement: Detect and eliminate dependent (i.e. redundant) linear constraints. * Performance improvement: Automatically choose "penalize" versus "soft" constraint handling method based on type of constraints in problem. If any equality constraints exist, using "penalize", otherwise default to "soft". If "soft", automatically switch to "penalize" if more than a given percentage of particles (initial or interim) are infeasible. * Feature: An output function defined by options.OutputFcns that can save current swarm state in a file which can be reloaded later as a problem structure, in case of a system crash. * Feature: Implement multiobjective optimization option)