mean_filter

时间序列分析中AR模型的建立，可求的残差平方和，便于用AIC准则定阶。(Time series analysis of AR model, rectifiable the residual sum of squares, easy to use the AIC criterion to determine the order.)

自己编写的matlab中编辑个人模块的S-函数方法，通过这个模块可以实现输入信号变为原来的10倍(Imagecut.rar matlab edit personal module function method of S- this module can be realized by the input signal into a 10 times )

DFA算法。用matlab实现的DFA算法，不保证效率，只保证能运行。(DFA algorithm. DFA algorithm using matlab realize, does not guarantee efficiency, is only guaranteed to run.)

用虚拟机COM方式很慢.试试用这个吧,这个据说能提高十几倍哟.里面的read.txt文件我在VMWare中安装做了一下简要的中文说明. irpfind produces ~450KB/s traffic on VirtualBox and ~150KB/s on VMWare, significantly outperforming standard ~10KB/s COM Port(COM way using virtual machine is slow. Try it with this, this is said to increase more than tenfold yo. Read.txt document inside VMWare installed, I have done a brief description of the Chinese. Irpfind produces ~ 450KB/s traffic on VirtualBox and ~ 150KB/s on VMWare, significantly outperforming standard ~ 10KB/s COM Port)

利用ARMA、AR、MA模型，以及周期图等进行系统参数估计以及全相位FFT测相位(Using ARMA, AR, MA model, and the cycle map for system parameter estimation, and testing phases of all phase FFT)

利用matlab中的库函数实现2FSK的调制，解调和误码率分析等(Use matlab library function to achieve 2FSK modulation, demodulation and error rate analysis)

Runge-Kutta method for Rosseler attractor (chaotic map)

matlab中imfill函数的C语言实现，重建函数之前的部分是根据不不跟进的方式进入MATLAB内部实现的(matlab imfill)

here is m-files for tsp problem .it is well written with good descriptions.and works even for large number of nodes.

一种新的符号定时和载波频率同步算法,该算法将OFDM符号分成几部分。它使用相关性和积累在几个OFDM 符号获得估计函数。当部分的长度小于ISI自由地区,该算法可以识别它。然后估计的最优符号定时和载波频率偏移可以获得。计算机仿真结果表明,该算法不仅可以跟踪时变信道变化但也有较小的MSE比ML估计算法。(A new symbol timing and carrier frequency synchronization algorithm is presented and the algorithm divides the OFDM symbol into several parts. It uses correlation and accumulation in several OFDM symbols to acquire estimation function. When the length of part is smaller than that of ISI free region , the algorithm can distinguish it. Then the estimation of optimal symbol timing and carrier frequency offset can be acquired .The computer simulation results show that the proposed algorithm not only can track time varying channel change but also has smaller MSE than that of ML estimation algorithm.)