PCAForClimatePredictor

能够提取旋转机械信号特征的全息谱分析程序(matlab programs of holospectrum method for feature extraction of signals )

基于角点信息和透视变换的图像镶嵌，使用matlab实现，具有良好的效果(Corner-based information and perspective transformation of the image mosaic, the use of matlab to achieve, with good results)

功能为特征提取，即它是从高维数据到低维数据(The source code for the feature selection to reduce the high-dimensional data low-dimensional data)

自适应滤波器的设计，包括LMS和RLS，两种方法，程序简单实用(Adaptive filter design, including LMS and RLS, two types of methods, procedures simple and practical)

通信原理—基于Matlab的计算机仿真 (北京邮电大学出版社) 书籍源代码(Communication Theory book source code- computer simulation based on Matlab (Beijing University of Posts and Telecommunications Press))

利用信源熵和信源信道之间的互信息求得信道容量(Source entropy and the use of source-channel information to achieve interoperability between the channel capacity)

这本书不错，适合滤波器的学习用，程序已经调试通过。(This book is good for learning to use filters, testing procedures have been adopted.)

CODE FOR CR TFF FOR IMAGE POCESSING

it is the code for wav read and write.

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.