music

滑模控制工具箱，对初学者上手较快，而且这种控制方法现在正在盛行，赶快下载来一起学习吧。(Sliding mode control toolbox, for beginners to get started quickly, and this control method is now popular to download to learn it together.)

本程序包含四种常用的功率谱计算方法。包括周期图法等。(This program includes four kinds of commonly used calculation method of the power spectrum.Including the periodogram method, etc.)

利用矩形窗设计I型数字带通滤波器，实现简单，易懂(use a rectangular window design digital band-pass filter)

WI-FI AUTO TEST

matlabsimulink通信系统建模与仿真(Matlab/simulink communication system modeling and simulation)

入门学习 题目及部分源代码 matlab基本知识 信号与系统实验(Introduction to study topic and part of the source code matlab basic knowledge of signal and system experiment)

Bit plane slicing using MATLAB

说明：  可以教你快速入门的MATLAB教程，个人觉得很好，值得学习一下(not bad)

In quantum optics, it is often necessary to simulate the equations of motion of a system coupled to a reservoir. Using a Schrö dinger picture approach, this can be done either by integrating the master equation for the density matrix[1] or by using some state-vector based approach such as the quantum Monte Carlo technique

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.