Xilinx-FPGA-Matlab-Simulate

说明：  详述了Matlab中contour画图的命令及技巧，针对出现的问题进行了说明和逐一演示。(Matlab detailed contour drawing of the orders and skills, for the problems described, and each presentation.)

MATLAB程序开发经典英文教程，帮助开发人员更好的利用MATLAB开发。(MATLAB Programming classic English tutorial to help developers better use MATLAB development.)

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Medicinal plants carry significant information for the development of human society and are considered as necessary resource for human well-being. Plants are of plenty of use as they form the base for food chain and a lot of medicines are derived plants. Plants are also vitally important for environmental protection. Two main plant aspects of plant taxonomy that play a vital role in these actions are the identification and classification of plants. Plant Identification is the determination of the identity of an unknown plant in comparison with previously collected specimen. The process of recognition connects the specimen with a botanical name. Once this connection is established, related details like name and other properties of the plant can be easily obtained.

说明：  这是一篇关于GPS信号的捕获文章，采用的是DF差分相关捕获的算法，具有在较低信噪比的情况下捕获信号(This is an article about the capture of GPS signal, using the DF algorithm to capture differential associated with low signal to noise ratio in the case of capture signal)

vc和matlab混合编程，在vc中调用matlab的函数进行计算和处理，本程序中调用了matlab图像处理函数打开图像并进行灰度处理(vc and matlab mixed programming, matlab function calls are calculated and processed in the vc, the program calls the matlab image processing function to open and grayscale image processing)

说明：  用MATLAB实现的QPSK调制和解调程序。(Using MATLAB to achieve the QPSK modulation and demodulation process.)

MATLAB可变电源，变压变频电源,该程序以S函数的形式产生一个可控三相交流电源(The MATLAB variable power supply, variable voltage variable frequency power supply)

小波神经网络的训练和预测，隐含层采用morlet小波基函数，包含简单的函数拟合算例。(Training and prediction of wavelet neural network. Hidden layer uses morlet wavelet function with a simple example.)

几篇关于希尔伯特黄变换的论文，最近在研究这个，和大家分享(On the Hilbert Huang transform several papers, most recently looking at this, and the U.S. share)