QPSK-BER-analysis-program

《射频电路设计——理论与应用》一书课后习题第九章Matlab程序代码("RF circuit design-- Theory and Application," a book OSCAR Exercises Chapter IX Matlab code)

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

说明：  归一化代码，自己做毕业设计的时候随便编的(Normalized code, make their own graduation time series of random)

说明：  利用MATLAB进行的画图软件，很齐全，有助于初学者学习画图(Drawing conducted using MATLAB software, it is complete, will help beginners to learn drawing)

antenna array factor

光伏电池建模与MPPT，变步长导量法，好用(PV modeling and MPPT, the amount of variable step guide method, easy to use)

economic dispatch with abc algorithm

基于肤色的人脸检测MATLAB源代码皮肤检测的最终目标是构建一个决策规则，并以此将图像中的像素划分为肤色和非肤色两类，一般通过引入一个衡量像素点颜色与“标准肤色”的距离而实现的，该距离是由相应肤色建模的方法决定的(Face detection based on skin color skin detection MATLAB source code for the ultimate goal is to build a decision-making rules, and use of the image pixels into skin and non skin types, usually by introducing a measure of the pixel color with the " standard colors" achieved the distance, the distance of the corresponding color from the decision modeling approach)

本文件包含了两个直扩和跳频的例子，用MATLAB语言实现，而且还包括例子的原文及大量注释，十分详细(This document contains two examples of DS and FH, with the MATLAB language, but also examples of the original and a lot of notes, very detailed)

SV_C信道建模的matlab实现，多径信道的信道增益系数服从对数正态分布！(SV_C channel modeling of the matlab implementation, multi-path channel the channel gain coefficient lognormal distribution!)