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免疫遗传算法matlab 程序,该算法由抗原识别、初始抗体产生、适应度计算、向记忆细胞分化、抗体的促进和抑制、抗体产生(交叉、变异) 六个模块组成(immune genetic algorithm Matlab procedure, the algorithm by antigen identification, initial antibody, fitness, to the memory cells, antibody for the promotion and inhibition, antibody (crossover and mutation) six modules)

图像均值和中值滤波,利用matlab软件编写，里面有代码说明，程序运行结果(Mean and median filtering image using matlab software development, which has the code description, the program runs results)

说明：  引入具有平移不变性和良好的方向分析能力的双树复小波变换对源图像进行多尺度分解;然后对分解得到的各尺度的高频子带采用基于跨尺度的邻域空间频率的融合策略,最高层的低频子带采用基于改进的邻域熵的融合策略进行融合处理;最后对融合后的各个频带进行双树复小波逆变换,重构出融合图像(The dual tree complex wavelet transform with translation invariance and good direction analysis ability is introduced to decompose the source image in multi-scale; then the fusion strategy based on the cross-scale neighborhood space frequency is adopted for the high-frequency subband of each scale obtained by decomposition, and the fusion strategy based on the improved neighborhood entropy is adopted for the low-frequency subband of the highest level; finally, each frequency band after fusion is carried out Double tree complex wavelet inverse transform to reconstruct fusion image)

BP neural code the backpropagation algorithm nwueal implementation in matlab, the code for training element wise

This contains scripts for the Matlab 5.0.1- releases of the ICA/EEG toolbox. Scott Makeig with Colin Humphries et al. CNL / Salk Institute

针对DS-CDMA系统的QPSK调制方式的MATLAB仿真。(The simulation of QPSK modulation for DS-CDMA system based on MATLAB .)

it includes some usefull codes in speech processing

MATLAB克里金(Kriging)插值法又称空间自协方差最佳插值法，它是以南非矿业工程师D．G．Krige的名字命名的一种最优内插法。克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。( MATLAB kriging (Kriging) interpolation method, also known as spatial autocorrelation covariance optimal interpolation method, which is based on the South African mining engineer D. G. Krige named for an optimal interpolation. Kriging widely used in groundwater modeling, soil mapping, is geostatistical gridding method useful.)

利用遗传算法，实现机器人轨迹规划，从而便于控制机器人(robot trajectory planing)

自适应信号处理，英文版的！！史坦福大学Bernard Widrow写的(Adaptive signal processing, the English version! ! Written by Bernard Widrow Stanford University)