matlab

simulink 非线性环节使用的磁滞特性验收程序，有验收结果(simulink link the use of non-linear hysteresis characteristics of the acceptance procedure, has accepted the results of)

说明：  用Maple和Matlab解决科学计算问题，很好(With Maple and Matlab to solve problems in scientific computing, very good)

DACE- A MATLAB Kriging Toolbox Version 2.0, August 1, 2002. (Sø ren N. Lophaven, Hans Bruun Nielsen, Jacob Sø ndergaard) - The software package DACE (Design and Analysis of Computer Experiments), which is a Matlab toolbox for working with kriging approximations to computer models. The typical use of this software is to construct a kriging approximation model based on data from a computer experiment, and to use this approximation model as a surrogate for the computer model.-DACE- A MATLAB Kriging Toolbox Version 2.0, August 1, 2002. (Sø ren N. Lophaven, Hans Bruun Nielsen, Jacob Sø ndergaard) - The software package DACE (Design and Analysis of Computer Experiments), which (DACE- A MATLAB Kriging Toolbox Version 2.0, August 1, 2002. (Sø ren N. Lophaven, Hans Bruun Nielsen, Jacob Sø ndergaard)- The software package DACE (Design and Analysis of Computer Experiments), which is a Matlab toolbox for working with kriging approximations to computer models. The typical use of this software is to construct a kriging approximation model based on data from a computer experiment, and to use this approximation model as a surrogate for the computer model.-DACE- A MATLAB Kriging Toolbox Version 2.0, August 1, 2002. (Sø ren N. Lophaven, Hans Bruun Nielsen, Jacob Sø ndergaard)- The software package DACE (Design and Analysis of Computer Experiments), which )

对双线性时滞系统进行T-S模糊控制，满足系能指标，鲁棒控制(Bilinear time-delay system for TS fuzzy control system able to meet the targets, robust control)

SPACECRAFT ATTITUDE DETERMINATION BY ADAPTIVE KALMAN FILTERING 介绍了一种基于自适应卡尔曼滤波的方法(SPACECRAFT ATTITUDE DETERMINATION BY ADAPTIVE KALMAN FILTERING introduced an approach based on adaptive Kalman filtering method)

The main idea behind this book, and the incentive for writing it, is that strong connections exist between adaptive filtering and signal analysis, to the extent that it is not realistic—at least from an engineering point of view—to separate them. In order to understand adaptive filters well enough to design them properly and apply them successfully, a certain amount of knowledge of the analysis of the signals involved is indispensable. Conversely, several major analysis techniques become really efficient and useful in products only when they are designed and implemented in an adaptive fashion. This book is dedicated to the intricate relationships between these two areas. Moreover, this approach can lead to new ideas and new techniques in either field.

针对脉压末制导雷达，仿真实现对脉压雷达的距离拖引干扰(Simulation of range pull jamming to pulse compression radar)

利用迭代实现一维IAA算法，可以直接使用(Iterative algorithm to achieve a one-dimensional IAA can be used directly)

a matlab simulation of a multifiliar telefonic wire with dpsk-4 modulation

A compact and fast Matlab code solving the incompressible Navier-Stokes equations on rectangular domains