Hanning-window-filter

matlabPID仿真源码,有大约10多种模式。(MATLAB FOR PID)

信息论的实验，一个可以直接运行的程序，相信对您会有帮助(xinxiluj)

matlab 模式识别算法和实现及其相关实验。(matlab pattern recognition algorithm and the realization of the experiment )

其中greedy_fair文件，为认知无线电中系统中贪婪算法与比例公平算法在资源分配上的对比仿真，其结果显示了两种算法分别在系统效益上和公平上的性能对比。(The greedy_fair file is used for the comparison of the greedy algorithm and the proportional fair algorithm in resource allocation in cognitive radio system , the result shows the two algorithms performance comparison in the system efficiency and fairness .)

模型参考自适应系统的simulink文件(The simulink File of the model reference adaptive system)

说明：  一个函数int fun(int *s,int t,int *k),用来求除数组的最大元素在数组中的下标并存放在k所指的储存单元中(A function int fun (int* s, int t, int* k), for requirements in addition to an array of the largest element in the array subscript coexist on the storage unit referred k)

该文件包含了标准正弦波通过莱斯信道的输入波形和输出波形(This file contains the standard sine wave by Royce channel input and output waveforms)

说明：  非线性整数规划问题，基于遗传算法的matlab程序(Nonlinear integer programming problems, based on genetic algorithm matlab program)

time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N2) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N logN) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.

基于RLS算法，NLMS和LMS的自适应滤波器的MATLAB程序(LMS and RLS algorithm performance comparisons, including the right value compared with the)