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目标定位

于 2021-03-25 发布

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说明：研究目标跟踪的状态估计方法，最小二乘估计，Kalman滤波，扩展Kalman滤波，无迹Kalman滤波以及粒子滤波等，理论及MATLAB源程序。(The state estimation methods of target tracking, least square estimation, Kalman filtering, extended Kalman filtering, unscented Kalman filtering and particle filtering, theory and MATLAB source program are studied.)

文件列表：

目标定位\Kalman滤波原理及程序（手册）.doc, 509952 , 2014-08-09
目标定位\目标定位跟踪算法及仿真程序.doc, 369152 , 2014-08-09
目标定位, 0 , 2019-01-25

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基于FFT的超分辨率算法,该算法使用原始数据的梯度信息,不用加入先验的约束(Super-resolution based on FFT)

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说明：我们知道，小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。以下是一维小波分解的程序. (We know that a wavelet transform decomposition process is that the original signal were low-pass, high pass filter, and then carried out under the binary sample, we obtained low-frequency, high-frequency (also known as the average, details) coefficient of two parts and Multi-level decomposition is a decomposition of the previous low-frequency coefficients to be further wavelet decomposition is a recursive process. Following is a one-dimensional wavelet decomposition process.)

2008-09-29 09:06:45下载

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kechengsheji
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积分：1

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