transformation

matlab code to convert rgb to yuv

很不错的基于模板匹配的matlab程序，有意者可以下载下来看看吧(Very good based on template matching matlab program Interested parties can download to see it)

GPS信号捕获 指标是signalpower=-185dBW，此时可以进行室内定位(GPS signal acquisition indicator is signalpower =-185dBW, indoor positioning can be performed at this time)

qwt vs2010 compline.Qwt is an extension to the libraries of the Qt Project. The Qwt library contains widgets and components which are primarily useful for technical and scientifical purposes. It includes a 2-D plotting widget, different kinds of sliders, and much more.(Qwt is an extension to the libraries of the Qt Project. The Qwt library contains widgets and components which are primarily useful for technical and scientifical purposes. It includes a 2-D plotting widget, different kinds of sliders, and much more.)

模拟了加速度信号，并用卡尔曼那滤波对加速度的参数进行了估计，并有相应源码。(To simulate the acceleration signal, and the kalman filter to estimate the parameters of acceleration, and have the corresponding source code.)

MIMO阵列中APES算法的应用的研究。(APES for MIMO array。)

运用matlab，对多彩分辨率彩色图像进行增强。 求取直方图和相关图。实用了对比度拉伸和去相关拉伸等增强方法。(Use matlab, colorful resolution for color image enhancement. Strike histograms and correlation diagram. Practical related to the contrast stretching and stretching enhancement.)

Capability Maturity Model Integration, Version 1.1 CMMI for Systems Engineering and Software Engineering(Capability Maturity Model Integration, Version 1.1 CMMI for Systems Engineering and So Industrial Engineering)

说明：  Cooperative Communications in Ultra-Wideband Wireless Body Area Networks: Channel Modeling and System Diversity Analysis

遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。(Genetic algorithm is used to solve computational mathematics in optimizing search algorithm, an evolutionary algorithm. Evolutionary algorithm was originally borrowed evolutionary biology and developed a number of phenomena, these phenomena, including genetics, mutation, natural selection and hybridization. Genetic algorithms are usually implemented as a way of computer simulation. For an optimization problem, a number of candidate solutions (called individuals) abstract representation of the population (called chromosomes) to better solution evolution.)