M3-Files

Commande par mode gilssant de la MSAP

Nonlinear Distortion in Wireless Systems: Modeling and Simulation with Matlab一书中的源代码simulink文件.(This book covers the principles of modeling and simulation of nonlinear distortion in wireless communication systems with MATLAB® simulations and techniques In this book, the author describes the principles of modeling and simulation of nonlinear distortion in single and multichannel wireless communication systems using both deterministic and stochastic signals. Models and simulation methods of nonlinear amplifiers explain in detail how to analyze and evaluate the performance of data communication links under nonlinear amplification. The book addresses the analysis of nonlinear systems with stochastic inputs and establishes the performance metrics of communication systems with regard to nonlinearity. In addition, the author also discusses the problem of how to embed models of distortion in system-level simulators such as MATLAB® and MATLAB Simulink® and provides practical techniques that professionals can use on their own projects. Finally, the book explores simulation )

INTDUMP Integrate and dump. Y = INTDUMP(X, NSAMP) integrates the signal X for 1 symbol period, then outputs one value into Y. NSAMP is the number of samples per symbol. For two-dimensional signals, the function treats each column as 1 channel.

Provides a real-time diagnostic of a Dissolve Gas Analysis

KNN用于模式分类的很好的例子，供大家学习，希望对大家有帮助(KNN classification for a good example for all to learn. . .)

考虑不同频率复用因子的情况下用户的容量和SINR值变化情况，得出在FRF为3的情况下达到最大的值(calculate the edge user under different frequence reuse factor the performance of capacity and SINR. The result is that when FRF equals to 3 achieve the maximum value.)

全波形反演最速下降法，共轭梯度发matlab程序。仅供参考(Matlab conjugate gradient method)

fastica算法，用于盲源分离的一个算法，希望能对大家有用~~~(fastica algorithm for blind source separation of an algorithm, hoping it would be useful ~ ~ ~)

The code implements a probabilstic Neuraol network for classification problems trained with a Leave One Out Cross Validation Scheme in Matlab (version 7 or above). The following toolboxes are required: statidtics, optimization and neural networks.

求解一维偏微分方程，matlab语言。中心差分，先前差分(Solving one-dimensional partial differential equations)