fading

说明：  用MATLAB实现频域平滑滤波以及图像去噪代码6. 计算频率域图像的幅值并进行对数变换，利用’imshow’ 显示频率域图 像； 7. 在频率图像上去除滤波半径以外的数据(置0)； 8. 计算频率域图像的幅值并进行对数变换，利用’imshow’ 显示处理过的 频域图像数据； (6. Calculate the frequency domain image of the amplitude and logarithmic transformation, using imshow show the frequency domain map Like 7. Removal of the image filtering in frequency than the radius of data (set 0) 8. Calculate the frequency domain image of the amplitude and logarithmic transformation, using imshow show-treated Frequency domain image data )

无线通信中经典的gardner符号同步算法，本人对其性能进行仿真，结果表明gardner同步算法具有优良的跟踪性能和跟踪精度(Communication technology in the classic GARDNER symbol synchronization algorithm, I do simulation results show that the algorithm has excellent tracking performance of the synchronization)

Performance Improvement of PAPR Reduction for OFDM Signal In LTE System

利用GUI设计要求的用户界面。该界面包括一个轴对象，显示的图形包括表面图、网格图和等高线图。(Use GUI design requirements of the user interface. The interface consists of an axis object display graphics include surface maps, grids and contour map.)

matlab编程 通过设定参数，画出相移布拉格光栅反射谱及色散，反射谱和时延的图象(matlab programming by setting parameters, draw the phase shift image Bragg grating reflection spectrum and dispersion, reflection spectrum and delay)

自己找到的数字调制系统分析与仿真 希望大家喜欢(Find the digital modulation system analysis and simulation)

战胜MATLAB必做50题，可以让你很快地活学活用MATLAB！！！(MATLAB will do over 50 questions, allowing you to quickly learn and use MATLAB! ! !)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

cuantizacion uniforme para una señ al senoidal

Channel Simulation using Matlab