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DiXu
说明： 图像曝光矫正代码， 用于图像恢复纹理， 参考文献见文件夹中的内容(Image exposure correction code Used for image restoration texture See the contents of the folder for references)
- 2020-06-17 09:00:02下载
- 积分：1
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6
说明： 三相电压的整流到逆变，基本模型，可以参照设计，进行其他改造完善来适合自己程序的需要(Three-phase voltage of the rectifier to the inverter, the basic model, can refer to the design, improve the other transformation procedures to suit their needs)
- 2008-05-11 09:03:38下载
- 积分：1
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gear3d
说明： 通过使用MATLAB语言建立三维渐开线齿轮啮合模型(use MATLAB to draw 3-D gear)
- 2019-03-21 16:16:24下载
- 积分：1
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H.264-matlab
本代码能够正确实现H264的编码解码过程(This code can be correctly implemented H264 codec process)
- 2021-04-04 15:59:04下载
- 积分：1
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1112bpaco
说明： 一种基于蚁群算法优化的BP神经网络，具有较好仿真效果。(A BP neural network optimized by ant colony algorithm has better simulation effect.)
- 2020-10-28 13:29:59下载
- 积分：1
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Simulations
说明： 对NOMA下行链路的用户和信道功率分配的优化(Energy-Efficient Resource Allocation for Downlink
Non-Orthogonal Multiple Access (NOMA) Network)
- 2021-04-19 09:38:51下载
- 积分：1
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近红外分析中光谱预处理及波长选择方法进展与应用
说明： 光谱分析的核心介绍，算法内容，功能简介，很好用的(Introduction to the core of spectral analysis, algorithm content, function, easy to use)
- 2020-03-30 16:33:08下载
- 积分：1
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peizhun
基于薄板样条插值法的非刚性图形配准，带有gui界面(Thin plate spline-based non-rigid graph matching, with a gui interface)
- 2010-12-29 15:02:23下载
- 积分：1
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LTE_filter
LTE变采样滤波器的设计，应用在USRP平台，100M采样率变到30.72M采样率，以及30.72M采样率变换到100M采样率，文档说明，matlab源代码，以及性能仿真(LTE varying sampling filter design, used in USRP platform, 100M sampling rate changes to 30.72M sampling rate, and sample rate conversion 30.72M to 100M sampling rate, documentation, matlab source code, and performance simulation)
- 2021-04-12 12:18:57下载
- 积分：1
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IET_CV_SOAMST_2011
一个比例和方向自适应均值漂移跟踪算法（SOAMST）
提出本文所要解决的问题，如何估计的规模和方向
改变均值漂移下的目标跟踪框架。在原来的均值偏移
跟踪算法，可以很好地估计目标的位置，规模的同时，
方向的变化，不能自适应估计。考虑到图像（重量）
是来自于目标运动模型和候选模型可以代表的可能性，一个
像素属于目标，我们证明了原来的均值漂移跟踪算法可以
推导出的重量图像的零阶和一阶矩。随着零阶
矩和目标模型和候选模型之间的Bhattacharyya系数，
提出了简单而有效的方法来估计的规模为目标。然后一种方法，
利用估计的区域和第二阶中心矩，提出
自适应地估计目标的宽度，高度和方向的变化。广泛
实验来证实所提出的方法，并验证其可靠性
规模和方向变化的目标。(A scale and orientation adaptive mean shift tracking (SOAMST) algorithm is
proposed in this paper to address the problem of how to estimate the scale and orientation
changes of the target under the mean shift tracking framework. In the original mean shift
tracking algorithm, the position of the target can be well estimated, while the scale and
orientation changes can not be adaptively estimated. Considering that the weight image
derived from the target model and the candidate model can represent the possibility that a
pixel belongs to the target, we show that the original mean shift tracking algorithm can be
derived using the zeroth and the first order moments of the weight image. With the zeroth order
moment and the Bhattacharyya coefficient between the target model and candidate model, a
simple and effective method is proposed to estimate the scale of target. Then an approach,
which utilizes the estimated area and the second order center moment, is proposed to
adaptively e)
- 2013-08-06 16:55:36下载
- 积分：1
