HW6_SARLI

Algorithm Collectionsfor Digital Signal Processing Applications Using Matlab

A MIMO multiplexing system with NT transmit and NR = NT receive antennas is designed. The main challenge for MIMO systems lies in the non-orthogonality of the transmission channel. This can be solved by turbo processing. Turbo channel encoder is used for converting the bits in its suitable form. Then different M-ary QAM is compared.

外梯度求解变分不等式算法以及修正、优化后的算法(Extragradient algorithm variational inequalities and correction algorithms, optimized)

一个计算机辅助技术与仿真技术的实例，主要是讲解matlab与自动控制系统相结合的技术(Examples of a computer-aided technology and simulation technology, mainly on the matlab and automatic control systems combine technology)

说明：  基于RBF神经网络辨识的单神经元PID模型参考自适应控制, 基于RBF神经网络辨识的单神经元PID模型参考自适应控制(Single Neuron PID Model Reference Adaptive Control Based on RBF Neural Network Identification)

Corrigé d une epreuve de l electrotechnique

本段程序主要实现了两个源的特征束的形成代码编程与波束形成图的演示(Eigenbeams for two sources)

说明：  实现多尺度熵的算法 多尺度熵（Multiscale entropy, MSE）将样本熵扩展到多个时间尺度，以便在时间尺度不确定时提供额外的观察视角。样本熵的问题在于它没有很好地考虑到时间序列中可能存在的不同时间尺度。为了计算不同时间尺度下信号的复杂性，Costa等人（2002,2005）提出了多尺度熵。(MultiScale Entropy There has been considerable interest in quantifying the complexity of physiologic time series, such as heart rate. However, traditional algorithms indicate higher complexity for certain pathologic processes associated with random outputs than for healthy dynamics exhibiting long-range correlations. This paradox may be due to the fact that conventional algorithms fail to account for the multiple time scales inherent in healthy physiologic dynamics. We introduce a method to calculate multiscale entropy (MSE) for complex time series. We find that MSE robustly separates healthy and pathologic groups and consistently yields higher values for simulated long-range correlated noise compared to uncorrelated noise.)

encoding and decoding based on arithmatic operators may be used for compression

数值微分通过matlab实现，对于初学者非常有用。从书上下载的源代码。(Achieved by numerical differentiation matlab, very useful for beginners. Downloaded from the book source code.)