math

matlab based object tracking

指纹图像细节特征提取，为指纹匹配做充分的准备(fingerprint)

系统详细的介绍了卡尔曼滤波的原理和过程，非常适合那些正在学习和研究卡尔曼滤波的朋友们。(The system described in detail the principles and process of the Kalman filter is ideal for those who are learning and research of the friends of the Kalman filter.)

These MATLAB programs in this directory belong to the book titled "MIMO-OFDM Wireless Communication with MATLAB㈢", which has been authored by Yong Soo Cho, Jaekwon Kim, Won Young Yang, and Chung G. Kang and published by John Wiley & Sons (Asia) Pte Ltd in 2010. All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher.

Build Windows 8 Apps with Microsoft Visual C++ Step by Step 源代码(Build Windows 8 Apps with Microsoft Visual C++ Step by Step source code)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

说明：   在高阶谱分析工具箱是一个M文件集合实施了多种先进的信号处理算法的频谱估计，polyspectral估计，时频分布计算，并包含许多实际应用如时延估计，谐波恢复，参数估计的Volterra（非线性）模型，以及自适应线性预测。其他潜在的应用包括音响，生物医学，经济学，地震勘探，无损检测，海洋学，等离子体物理，雷达，声纳，语音等(The Higher-Order Spectral Analysis Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for spectral estimation, polyspectral estimation, and computation of time-frequency distributions, with applications such as time delay estimation, harmonic retrieval, parameter estimation of Volterra (nonlinear) models, and adaptive linear prediction. Other potential applications include acoustics, biomedicine, econometrics, exploration seismology, nondestructive testing, oceanography, plasma physics, radar, sonar, speech etc. )

mais il faut connaî tre quelques extensions de syntaxe que nous allons introduire dans ce Guide d’utilisation du logiciel MATLAB

该文件详细介绍了各种最小二乘算法的实现步骤，给出了实验仿真的例子和MATLAB程序，对学校最小二乘相关算法的人非常好(The document details the steps of various least squares algorithm, an experimental simulation examples and MATLAB programs for school-related least squares algorithm are very good)

神经网络修改BP辨识算法，用于辨识复杂的非线性系统，相对传统BP算法，具有计算快等优点(Modify BP neural network recognition algorithm for identification of complex nonlinear system, compared to the traditional BP algorithm has the advantages of quick calculation)