FastICA2.5ica

myCAgen生成CA码,myCAtest计算不同CA码的自相关和互相关函数并画出来(myCAgen.m generates CA code, and myCAtest computes the correlation and selfrelation of different CA codes.t)

contains reeedsolomon code for wireless complete systm

优化灵巧手的各节长度,适用于多指灵巧手的手指结构优化设计的多目标优化函数。(to optimize the length of finger)

MATLAB实现感知器操作，用于智能优化实验(MATLAB realization of sensor operation, intelligent optimization experiments for)

QPSK,16QAM,64QAM星座图映射，是信号处理的基础，具有参考价值(QPSK, 16QAM, 64QAM constellation mapping, is the basis for signal processing, with the reference value)

含源负载耦合的交叉耦合滤波器综合。其中F_P_E程序是根据零点及回波损耗得到F,P,E. Cal_M是由F,P,E得到耦合矩阵。此程序建议微波滤波器专业人士下载。其他人有兴趣的可以看看(coupling matrix synthesis techniques for source-load coupled microwave filters)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

一个基于matlab实现的波的总和GUI(The sum of the GUI based on matlab)

是一个基于遗传算法改进的模糊C均值算法，很不错的代码。(It is a improved fuzzy C-means algorithm based on genetic algorithm , a very good code. )

matlab小波分析程序，gmcalab 快速广义的形态分量分析，大学数值分析算法，解耦，恢复原信号，光纤陀螺输出误差的allan方差分析。( matlab wavelet analysis program, gmcalab fast generalized form component analysis, University of numerical analysis algorithms, Decoupling, restore the original signal, allan FOG output error variance analysis.)