Duhem

The toolbox solves a variety of approximate modeling problems for linear static models. The model can be parameterized in kernel, image, or input/output form and the approximation criterion, called misfit, is a weighted norm between the given data and data that is consistent with the model. There are three main classes of functions in the toolbox: transformation functions, misfit computation functions, and approximation functions. The approximation functions derive an approximate model from data, the misfit computation functions are used for validation and comparison of models, and the transformation functions are used for deriving one model representation from another. KEYWORDS: Total least squares, generalized total least squares, software implementation.

E_pulse methode target identification

3理论抽样信号从一个联盟的子空间,理论抽样信号从一个联盟的子空间(3A theory for sampling signals from a union of subspaces)

This file consists matlab programs implemented in morphological image processing

基于最低有效位lsb水印图象算法，带有攻击代码。(lsb watermarking algorithm,)

optimizing pll loop parameters matlab model

实现了PID控制与自适应模糊PID控制的比较 亲测simulink仿真结果 (Adaptive fuzzy PID control)

数据与计算机通信相关知识的详细介绍和研究。( Data and computer communications)

模式识别作业，用近邻函数法分类的matlab程序，classification using matlab(Pattern recognition operations, with neighbors matlab function method classification procedure, classification using matlab)

基于matlab的龙贝格算法程序(Matlab-based algorithm of Romberg procedure)