FRFT

这是可以解决tsp问题的遗传算法的matlab，产生初始群体是没采用改良圈法代码，有测试数据，可供参考学习(this is a generic algorithm for tsp)

为了提高小波分析方法在混沌去噪中的自适应能力，对不同尺度下的小波信号设定调节因子，根据混沌序列 关联维的大小确定最优阈值。为了提高寻优效率，采用遗传算法全局自适应搜索最优阈值。利用该方法对Lorenz混沌时 间序列进行了去噪分析，结果表明所提方法是非常有效的。(For the purpose of improving adaptive performance of chaotic signals de-noising with wavelet transform，a floating parameter is set to regulate the threshold of wavelet signal on different scales according to the correlation dimension of chaotic time series．The genetic algorithm is helpful tO obtain global optimum thresholds and tO reduce much time wasted by the adaptive searching computation．De-noising for Chaotic time series generated by Lorenz system is simulated to corn— pare with other methods，and the results showed that the proposed method iS effective)

一个查找表的程序，使用了matlab和C语言混合编程实现，提高查找效率(A look-up table of procedures, the use of matlab and C mixed-language programming, improve search efficiency)

APF谐波检测DQOABC变换，可以直接使用(APF harmonic detection DQOABC transform can be used directly)

设计一维纳滤波器 (1). 产生三组观测数据：首先根据S(n)=aS(n-1)+w(n)产生信号S(n)，将其加噪声(信噪比分别为20db，10db，6db)，得到观测数据X1(n)，X2(n)，X3(n)。. (2). 估计Xi(n)，i=1，2，3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。(Design a Wiener filter (1) produces three sets of observations: First, according to S (n) = aS (n-1)+ w (n) generates the signal S (n), to add noise (SNR are 20db, 10db, 6db ), obtained observational data X1 (n), X2 (n), X3 (n). . (2) estimated Xi (n), i = 1,2,3 of the AR model parameters. Assuming the signal length L, AR model order N, the analysis of experimental results, and discuss the changes in L, N to the experimental results.)

RADOM变换检测直线，简单运用MATLAB自带的radom变换程序。()

基于simulink的无线通信系统的设计，希望对大家有帮助(Simulink-based wireless communication system design, we hope tobangzhu)

Spatial Complex, 2*2 MIMO, 2 transmitter 2 reciever, use Zero Force techniques.(Spatial Complex, 2* 2 MIMO, 2 transmitter 2 reciever, use Zero Force techniques.)

用matlab实现DQPSK的调制解调，并绘制BER曲线(Using matlab to achieve DQPSK modulation and demodulation, and draw the BER curves)

对一维信号进行连续小波变换，从时频角度分析和处理信号！(One-dimensional continuous wavelet transform signals from time-frequency analysis and signal processing point of view!)