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说明: MATLAB图像分割程序介绍,各种分割的源码(MATLAB image segmentation procedure described, a variety of source separated)
- 2011-04-11 08:55:40下载
- 积分:1
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Image
利用matlab计算图像的辐射精度(包含均值、方差、偏斜度和陡度)和信息量。(Calculation of the radiation image using matlab precision (including mean, variance, skewness and steepness), and the amount of information.)
- 2011-10-23 16:29:38下载
- 积分:1
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ear4
ImagesIEEE上的论文有关图像处理的论文:走向快速3D耳识别现实生活中的应用生物识别技术
(TOWARDS FAST 3D EAR RECOGNITION FOR
REAL-LIFE BIOMETRIC APPLICATIONS)
- 2009-05-12 15:03:36下载
- 积分:1
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baiguangganshe
实现白光多缝衍射和双缝干涉,得到白光彩色的干涉条纹(Realization of white multi-slit diffraction and double-slit interference fringes get white color)
- 2013-10-31 11:53:45下载
- 积分:1
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AN427-RFID-Reader-user-guide
Application Notes for EM4095
- 2015-04-02 21:12:47下载
- 积分:1
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user
matlab simulink的直流输电模型(matlab simulink model of HVDC)
- 2014-05-09 19:57:37下载
- 积分:1
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IMM
1.IMM.m
主要功能:
(1)IMM算法的实现;
(2)画出目标轨迹与利用IMM算法跟踪目标的轨迹;
(3)画出位置误差与速度误差;
(4)画出模型混合概率图。
2.Target_track.m
主要功能:
实现目标轨迹的产生。
3.Model_mix.m
主要功能:
实现IMM算法下,各模型的估计融合。
4.Kalman.m
主要功能:
实现模型的条件滤波,以及似然函数的输出。(1.IMM.m main functions: (1) IMM algorithm implementation (2) Draw the locus and utilization of IMM target tracking algorithm goals (3) shows the position error and speed error Mixed (4) Draw model probability plots. 2.Target_track.m main functions: to produce the target locus. 3.Model_mix.m main functions: IMM algorithm, it is estimated each model integration. 4.Kalman.m main functions: the model filter condition, and it seems natural function of the output.)
- 2020-07-02 07:40:02下载
- 积分:1
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stprtool
matlab中进行人脸识别研究时用到的所有程序码路径的设置.(face recognition matlab study carried out all the procedures used code path settings.)
- 2008-04-17 00:17:28下载
- 积分:1
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CSalgorithm
压缩感知理论对图像数据进行采集,并利用重构算法omp,GSPR,ST0等算法进行分析视频重构图像的效果(Compressed sensing theory for image data acquisition and reconstruction algorithm using omp, GSPR, ST0 video reconstruction algorithms to analyze the effect of image)
- 2014-09-16 19:35:23下载
- 积分:1
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data-handling-algorithm-learning
数据组合方法研究,该方法是以多项式为基础通过不断筛选组合来辨识非线性系统的模型。该文章详细介绍了该方法的发展及实现步骤。针对该方法中的不足,提出改进措施(Data combination method, the method is based on the polynomial basis through continuous screening combination to identify the model of the nonlinear system. The article describes in detail the development and implementation steps of the method. Deficiencies in the methods, suggest improvements)
- 2013-03-21 15:16:18下载
- 积分:1