convert

基于BP网络的曲面拟合，和BP网络仿真程序(BPnet)

说明：  用于描述交通流的元胞模型，能很好的仿真模拟(Used to describe the traffic flow cell model can be a good simulation)

More material can be found at the web sites for EE364A (Stanford) or EE236B (UCLA), and our own web pages. Source code for almost all examples and figures in part 2 of the book is available in CVX (in the examples directory), in CVXOPT (in the book examples directory), and in CVXPY. Source code for examples in Chapters 9, 10, and 11 can be found here. Instructors can obtain complete solutions to exercises by email request to us please give us the URL of the course you are teaching.

本压缩文件中，含有3个图像增强的Matlab程序，包括用小波方法及非小波实现图像的增强(The compressed file, containing three of the Matlab image enhancement procedures, including the use of wavelet methods and non-wavelet image enhancement)

system view 实例模型包含数字调制QPSK,QAM.RICE衰落信道的仿真 数字频率合成器 线性移位寄存器 等等(system view instance of the model consists of digital modulation QPSK, QAM.RICE fading channel simulation of digital frequency synthesizer linear shift register, etc.)

说明：  VS中开发的一个C与matlab混合编程的小程序，该类可以使用到其他的MFC程序中去。 但是注意，使用时，要把matlab所在的本地文件夹中的extern中的lib和include添加到VS的工程属性的lib和include路径中去。且要添加四个lib文件。(VS in the development of a mixed C and matlab programming small programs, the class can use the program to other MFC to. Note, however, when used, should matlab local folder where the extern in the lib and include added to the VS project properties go to lib and include paths. And to add four lib.)

LVQ神经网络的预测——人脸朝向识别的源程序及数据。用matlab程序编写。(LVQ neural network prediction- face towards the identification of the source code and data. Using matlab programming.)

nonlinear amplifier effect on QAM modulation

Abstract—Several algorithms have been developed for tracking formant frequency trajectories of speech signals, however most of these algorithms are either not robust in real-life noise environments or are not suitable for real-time implementation. The algorithm presented in this paper obtains formant frequency estimates voiced segments of continuous speech by using a time-varying adaptive filterbank to track individual formant frequencies. The formant tracker incorporates an adaptive voicing detector and a gender detector for formant extraction continuous speech, for both male and female speakers. The algorithm has a low signal delay and provides smooth and accurate estimates for the first four formant frequencies at moderate and high signal-to-noise ratios. Thorough testing of the algorithm has shown that it is robust over a wide range of signal-to-noise ratios for various types of background noises.

格兰杰因果检验，亲手尝试使用过，效果可以(granger causality,use matlab to do this job)