PCA-and-whitening

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本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。(This book logically arranged from beginning to end examples describing the content of complete and relatively independent of each chapter it is a simple MATLAB reference books, both for beginners, but also to high-level MATLAB users.)

说明：  此算法为增广最小二乘法。uy2为含噪声数据，n=2,噪声模型n=2(The algorithm for least squares augmented. uy2 for data containing noise, n = 2, the noise model n = 2)

Multirate Distributed Model Predictive Control of Nonlinear Systems

神经网络理论与Matlab7电子工业出版社原代码(neural network theory and Matlab7 Electronic Industry Publishing House source)

说明：  用MatlAB编程实现移动通信系统中的GMSK调制解调(Programming with MatlAB the GMSK mobile communication system modem)

Introduction to Extended Kalman Filter

基于MATLAB的重力固体潮理论值计算,适合初学者学习的。(The theoretical calculation of the tidal gravity based on MATLAB, suitable for beginners to learn.)

Okumura analyzed path-loss characteristics based on a large amount of experimental data collected around Tokyo, Japan. He selected propagation path conditions and obtained the average path-loss curves under flat urban areas. Then he applied several correction factors for other propagation conditions, such as: Antenna height and carrier frequency Suburban, quasi-open space, open space, or hilly terrain areas Diffraction loss due to mountains Sea or lake areas Road slope Hata derived empirical formulas for the median path loss (L50) to fit Okumura curves.

matlab guassian markov model