tracking

用递归迭代法构造多小波基的matlab源码及实现多小波分解2-D图像 [multiwavelet.rar] - 小波变换的MATLAB实现 几个用MATLAB编写的小波变换示例 (multiwavelet.rar]2-D multi-wavelet construction and implementation computation multiwavelet transform an image (BAT O2 multiwavelet transform)

用matlab编写的音乐文件，可以用matlab播放卡农(Music files using matlab matlab player can use Canon)

将newmark算法和牛顿威尔逊算法综合起来，结合两种算法的优势求解一般性动力学方程，线性和非线性都可以。(The Newmark algorithm and Newton Wilson algorithm are combined to solve the general dynamic equation, both linear and non-linear.)

一个详细介绍如何使用Matlab中的Simulink的PPT(A detailed description how to use Matlab in Simulink to PPT)

完成线性调频信号的脉冲压缩，动目标检测，动目标显示等技术，是学习雷达的经典程序(Complete linear FM signal pulse compression, moving target detection, moving target indication and other technology, the program is to learn the classic radar)

solving job shop scheduling problem with setup times by Tabu Search Algorithm

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

基于Matlab的Coherent 16QAM simulation。包括产生伪随机比特序列、产生电脉冲序列、NRZ调制、AWGN 信道 plot_opti_spec、平衡探测器、均衡等。(Matlab-based Coherent 16QAM simulation. Comprises generating pseudo-random bit sequence, generating an electrical pulse sequence, NRZ modulation, AWGN channel plot_opti_spec, balanced detector and balance.)

matlab小波算法实现，有源程序,可以实现多种图像处理过程(matlab wavelet algorithm, has the source code, you can realize a variety of image processing)

汽车五自由度4WS模型的建立与仿真分析比较，pdf文件(Car of five 4 WS model and simulation analysis comparison, PDF file )