mcjihe

用GUI实现对基带传输系统,最终得到误码率，和过程中的波形(realize the baseband tansmation of GUI)

Matlab教程,希望能对大家有用^_^(Matlab Guide, we hope that the useful ^ _ ^)

随机振动的功率谱分析，其中的程序对于理解随机振动非常有帮助，希望大家下载学习(Random vibration is very useful,this file is help for the random vibration.)

说明：  气候分析中检验突变的经典程序，如滑动t检验，cv，滑动f检验等 (Climate Analysis classic mutation testing procedures, such as sliding t test, cv, sliding f inspection)

How to find wavelet coefficient of EEG

VC调用matlab的典型编程，采用matlab引擎的方法，成功实现了Vc对matlab的调用。并且做了可视化的界面。把程序中的main_edgelink2换成自己要调用的matlab程序(VC typical call Matlab programming using Matlab engine, the successful implementation of the Vc Matlab call. Done a visual interface. The procedures main_edgelink2 replaced by themselves to the calling procedure Matlab)

The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) These values are typically useful in power systems, audio signal processing, and other related fields.(The function computes the basic harmonic of the signal, in the form: x(t) = amp*cos(w*t - ph) + (higher Harmonics) )

选择输入信号的参数，以及抽样因子，以及采样参数，对信号分别进行上抽样和下抽样，方便非均匀采样的进行。(Select the input signal parameters, and sampling factors, as well as sampling parameters, respectively, on the signal sampling and down sampling, to facilitate the conduct of non-uniform sampling.)

该函数给出无限大障板上圆形活塞声源辐射的声场随时间分布状态图，主要包括：声源辐射随传播时间变化的声场二维分布图和随时间变化的动画(This function simply-supported boundary conditions given on circular piston the sound field radiation over time distribution state figure, mainly including: sound radiation to the propagation of 2 d time change acoustic field distribution and change over time the animation )

这是盲图像质量因子(BIQI)的MATLAB源代码. 该算法由A. K. Moorthy 、A. C. Bovik等人在 A Modular Framework for Constructing Blind Universal Quality Indices 中提出，发表在IEEE Signal Processing Letters (2009). (This is blind image quality factor (BIQI) MATLAB source code for this algorithm in " A Modular Framework for Constructing Blind Universal Quality Indices" proposed by the AK Moorthy, AC Bovik et al., Published in the IEEE Signal Processing Letters (2009).)