densecolumns

Lorenz系统的SIMULINK仿真模型(SIMULINK Lorenz System Simulation Model)

SPWM inverter with Matlab/simulink

circular convolution and some matlab codes

设计一维纳滤波器。 （1）产生三组观测数据，首先根据s(n)=as(n-1)+w(n)产生信号s(n)，将其加噪(信噪比分别为20dB，10dB，6dB)，得到观测数据x1(n)，x2(n)，x3(n)。 （2）估计xi(n)，i=1,2,3的AR模型参数。假设信号长度为L，AR模型阶数为N，分析实验结果，并讨论改变L，N对实验结果的影响。 (Design a Wiener filter. (1) generate three sets of observations data, first according to s (n) = as (n-1)+w (n) to generate a signal s (n), which add noise (SNR respectively 20dB, 10dB, 6dB), obtained observation data x1 (n), x2 (n), x3 (n). (2) estimate xi (n), i = AR model parameters 1,2,3. Assuming the signal length L, AR model of order N, analysis of experimental results and discuss changes affect L, N of the experimental results.)

这个程序可以用来计算复杂网络中的介数，稍微修改就可以实现边介数和点介数的计算。(This program can be used to calculate the number of referrals of complex networks, a slight modification can calculate the number of edges and points referral referral number.)

The simulation based on the Matlab Simulink of the moden communication system.

说明：  详细介绍如何使用matlab的一本书。非常的不错哦(Details of how to use matlab in a book. Oh, very good)

对matlab的使用就行了简单的介绍，通过该文档熟悉对matlab编程的操作以及在各个方面的应用。(Use of matlab' s a brief introduction on the line through the document familiar to matlab programming in all aspects of operation and applications.)

这篇文章是盲信号处理，因为是英文文章，所以大家看内容就好了。(Principal component analysis (PCA) is a mainstay of modern data analysis- a black box that is widely used but poorly understood. The goal of this paper is to dispel the magic behind this black box. This tutorial focuses on building a solid intuition for how and why principal component analysis works furthermore, it crystallizes this knowledge by deriving from simple intuitions, the mathematics behind PCA . This tutorial does not shy away from explaining the ideas informally, nor does it shy away from the mathematics. The hope is that by addressing both aspects, readers of all levels will be able to gain a better understanding of PCA as well as the when, the how and the why of applying this technique.)

Artech House Space-Time Codes and MIMO Systems