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chap_3
matlab由浅到深的解析，源码都有，很好的初学者学习资料(matlab from shallow to deep parsing, source code has, very good information for beginners to learn)
- 2011-05-02 13:05:55下载
- 积分：1
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dongtaitu
对于一个动态系统dy/dt=-y(t)+x(t-m),m为一个时间滞后常量，x(t)、y(t)都是关于时间
t的函数，其中x是一个正态分布的数据集合，可随机产生，这样情况下，如何将系统情况
用样本点表示出来
(for a dynamic system dy/dt =- y (t) x (t-m), m for a time lag constants, x (t), y (t) are on the function of time t, where x is a normal distribution of data sets can be randomly generated, under these circumstances, how the system of sample points out)
- 2007-04-11 00:18:09下载
- 积分：1
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wigb
画地震剖面图，横坐标是道号，纵坐标为深度或时间(Videos seismic profiles, the abscissa is the channel number, the ordinate is depth or time)
- 2013-10-08 15:41:40下载
- 积分：1
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mycheby1
利用matlab内部函数实现的切比雪夫一类滤波器设计，供初学者学习(matlab，cheby1 Filter)
- 2013-03-25 13:10:32下载
- 积分：1
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huber
huber方法计算矿体的三维变异函数，matlab语言，程序运用了迭代方法(huber calculated ore body three-dimensional variogram, matlab language, the program using the iterative method)
- 2011-11-22 16:33:49下载
- 积分：1
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harris
基于matlab的特征点自动提取以及匹配，结合机器人三维空间的定位，实现机械手的定位抓取(Matlab-based feature point extraction and automatic matching, combined with three-dimensional space robot localization, achieve positioning robot crawl)
- 2015-05-27 11:18:53下载
- 积分：1
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youfaxiangying
对指数式衰减的加油噪声的信号(诱发响应)提取,噪声越小,提取出的信号越接近原信号(On the exponential decay of the refueling noise signal (evoked response) extraction, the smaller the noise, to extract the signal the closer the original signal)
- 2008-01-13 08:15:23下载
- 积分：1
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matlab_8vazir
8 queens on the chess board with matlab
- 2013-07-12 23:47:42下载
- 积分：1
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tidu
针对mean shift 跟踪方法中存在的光照变化不稳定问题， 提出了基于梯度特征与彩色
特征相融合的mean shift 跟踪方法。首先分别提取目标的梯度特征和彩色特征，利用多尺度的相似度
计算方法进行特征的匹配，然后通过最大化相似度对目标进行跟踪。通过物体和人体等运动目标的跟
踪，验证了改进的跟踪算法在光照变化情况下的鲁棒性优于原有的算法，显著降低了跟踪位置误差。(The instability of the light changes in the mean shift tracking method, the mean shift tracking method based on gradient features and color characteristics of fusion. First extract gradient features and color features of the target, the similarity calculation method using multi-scale feature matching, and then maximize the similarity of the target track. Through the tracking of objects and people moving target, verify the robustness of the improved tracking algorithm in the case of illumination changes is better than the original algorithm significantly reduces the tracking position error.)
- 2012-06-09 09:15:14下载
- 积分：1
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ofdmpilot
ofdm with pilot information
- 2014-10-20 02:04:37下载
- 积分：1
