Candide3

ofdm frequency diversity.........

BP PID(BP PID)

用MATLAB的simulink实现costas环的.mhl文件(Using MATLAB-simulink realization costas Central. Mhl document)

介绍了matlab/simulink在FPGA中的应用，将matlab/simulingk和FPGA结合起来，对仿真具有一定的参考价值。(Introduction of the matlab/simulink in the FPGA application, the matlab/simulingk and FPGA combination for the simulation has a certain reference value.)

详细讲述了，matlab与VC++6.0的混合编程(Described in detail, matlab mixed with VC++6.0 programming)

matlab编写的匹配滤波器,适用于信号相关处理，(match-filter with matlab)

说明：  Mathematics Special book problem and solutions

旅行商问题，相信学过数学建模的人都知道吧。需要的下载一下吧。(The traveling salesman problem, believe that the learned mathematical modeling people know it. Need to download it.)

GMSK信号的循环谱密度程序 对循环谱算法感兴趣者下载(GMSK signal cycle of spectral density of the cyclic spectrum algorithm procedures of interest to those who download)

An important aspect of an ANN model is whether it needs guidance in learning or not. Based on the way they learn, all artificial neural networks can be divided into two learning categories - supervised and unsupervised. • In supervised learning, a desired output result for each input vector is required when the network is trained. An ANN of the supervised learning type, such as the multi-layer perceptron, uses the target result to guide the formation of the neural parameters. It is thus possible to make the neural network learn the behavior of the process under study. • In unsupervised learning, the training of the network is entirely data-driven and no target results for the input data vectors are provided. An ANN of the unsupervised learning type, such as the self-organizing map, can be used for clustering the input data and find features inherent to the problem.