paper028

该算法是有关于蚂蚁聚类算法的matlab源代码，是转载的。(The algorithm is on the ant clustering algorithm matlab source code is reproduced.)

仿真一个从卫星到区域数据中心的下行链路（由一组6个载波构成），评估热噪声，交调（IM）失真、由滤波器引起的码间干扰（ISI）以及临频干扰对下行链路性能的影响。(Simulation of a regional data center from the satellite to the downlink (from a group of six carrier composition) to assess the thermal noise, intermodulation (IM) distortion, caused by the filter ISI (ISI) and adjacent channel interference on the downlink link performance.)

说明：  基本的粒子滤波算法，所用数值模型为带控制量的非线性模型，可修改噪声类型，并可和EKF相比较(Basic particle filter algorithm for the numerical model used to control the volume with the non-linear model, can modify the type of noise can be compared and the EKF)

说明：  ldpc码在cdma中应用，matlab实现(cdma ldpc code in the application and realization of Matlab)

Generating bunch of rays parellel to the given axial ray

We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.

matlab因子分析的资料，内含数据。是很好的数学建模资料(Factor analysis )

MATLAB code to crop object from image on the basis of color boundary.

mathews数值分析书的源代码，用matlab编写，第一章第十五部分。(mathews numerical analysis of the book' s source code, using matlab, the first chapter in Part XV.)

国外经典控制教材《modern control engineering》的中文译本，这本书是众多中译本中比较好的一本(the chinese version of <modern control engineering>)