IIRfilter

说明：  利用bp神经网络对遥感图像进行分类，输入样本值后，根据样本值对遥感图像不同的地物进行分类，分类后计算每种地物所占面积(The use of bp neural network classification of remote sensing images, enter a sample value, based on the sample value of the different features of remote sensing image classification, classification features calculated for each share of area)

给出了通过MATLAB设计FIR滤波器的程序，只需要输入滤波器类型和参数就能设计出特定滤波器，并产生DSP需要的数据，很有意义。(MATLAB is given through the FIR filter design process, only the type and parameters of input filter will be able to design a specific filter, and DSP have the data needed and meaningful.)

说明：  基于均值生成函数时间序列预测算法程序 1. predict_fun.m为主程序 2. timeseries.m和 seriesexpan.m为调用的子程序 (function based on the mean generation time series prediction algorithm for a procedure. Predict_fun.m mainly procedures 2. Timeseries.m seriesexpan.m and called for the subprogram)

Controle vetorial direto e indireto do MI – uma abordagem usando orientaç ã o pelo fluxo rotórico.

2Algorithms for matrix extension and orthogonal wavelet filter banks over algebraic number fields 15.MCOM110409

一个粒子群算法源码，用matlab实现，很适合粒子群算法的初学者。(A particle swarm algorithm source code, using matlab to achieve, it is suitable for beginners Particle Swarm.)

matlab高斯滤波、中值滤波、均值滤波.rar(Three mathod of matlab filtration)

提出了一种新的算法结构,通过建立“局部环境因数”模型,利用集中式处理模式,动态 分配全局勘探和局部开采子种群比例,有效地实现分工目的,平衡算法的局部和全局搜索能力。将其 应用到两个不同类型的实际工程约束优化问题中进行验证,并与其他文献的改进算法进行了对比。 实验结果表明,该算法比其他改进算法在计算精度、效率、鲁棒性上都有很大的提高(Anewalgorithmarchitecturewasproposed. Inorder to adjust effectively the ratioof exploration subgroup versusexploitationone, the algorithmadopted the centralizedprocessingtechnique toconstruct the local environment factor, andbalancedthe local andglobal searchcapabilitiesof the algorithm. Furthermore, comparedwithother improvedintelligent algorithms, experimental results got from the application and verification of real constrained engineering design problem indicate that the algorithmperformsbetter intermsof accuracy, efficiencyandrobustness)

matlab开发的元胞自动机交通流仿真程序(matlab traffic program)

利用散度法计算垂直速度，主要是缺测值的处理(Calculated using the vertical velocity dispersion, mainly dealing with missing data values)