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arnold
实现arnold置乱，其中利用到置乱周期，是图像置乱的不错程序。(Achieve arnold scrambling, which take advantage of scrambling cycle, the image scrambling for a good program.)
- 2009-09-18 20:19:57下载
- 积分：1
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2
说明： A ROBUST FAST RECURSIVE LEAST SQUARES ADAPTIVE ALGORITHM
- 2010-11-14 04:49:31下载
- 积分：1
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Qfilters_point_detector
Quadrature filters point detector in scale-space
- 2010-03-14 21:02:13下载
- 积分：1
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gray3
说明： 灰色理论认为系统的行为现象尽管是朦胧的，数据是复杂的，但它毕竟是有序的，是有整体功能的。灰数的生成，就是从杂乱中寻找出规律。同时，灰色理论建立的是生成数据模型，不是原始数据模型，因此，灰色预测的数据是通过生成数据的gm(1,1)模型所得到的预测值的逆处理结果。
此程序用来作灰色预测。
(Gray theory that the behavior of the system even though the phenomenon is dim, the data are complex, but it is after all, is orderly, there is a whole function. Gray number generation, that is, from the clutter to find out the laws. At the same time, the gray theory is to generate data model, rather than the original data model, therefore, gray forecast data to generate data through the gm (1,1) model by the inverse of the predictive value of the results. This procedure is used for gray prediction.)
- 2008-09-19 21:08:31下载
- 积分：1
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math
关于matlab的数学基础的英文资料，对于了解matlab的编程原理有很好的帮助(About matlab mathematical foundations of English, for the understanding of matlab programming principles of good help)
- 2013-11-03 16:13:58下载
- 积分：1
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ARPAfilter
用于航海雷达回波信号的matlab处理程序，虚拟的高斯白噪声(Used marine radar echo signal processing matlab, virtual white Gaussian noise)
- 2011-10-01 17:59:12下载
- 积分：1
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IA
说明： 通过免疫算法解决旅行商问题，在matlab下实现(Through the immune algorithm to solve traveling salesman problem, in under matlab)
- 2008-04-28 20:43:13下载
- 积分：1
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test
说明： 我自己写的程序,用matlab编写的,可以处理普通運算(I wrote the program, written with matlab)
- 2011-03-19 17:53:35下载
- 积分：1
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Body-Area-Networks
一个身体部位比较模型的新方法网络（BAN）的，可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏，通过基于参数化到每个活动，每个学科和每个环节模型。使用错误，并明确之间权衡复杂性，在一个善良的适应措施相结合，显示有重要的影响时，适用于一系列典型的禁止通道数据。它是有不同的
在模式的选择的影响，以及它相关的复杂性，混合活动的“日常”的数据，设置活动相比，动态数据（例如步行）。平均路径损耗的不足，甚至位数的路径损失的措施，作为唯一的表征还强调“禁止通道。
(A new approach to compare models for body area
networks (BAN) that accommodates multiple links and multiple
subjects is presented. The absolute measure described allows
comparison across a spectrum of possible characterizations
ranging from single-parameter for an entire ensemble, through
to per-activity, per-subject and per-link based parameterized
models. The use of an explicit trade-off between error and
complexity, combined in a goodness-of-fit measure, is shown
to have important consequences when applied to a range of
typical BAN channel data. It is shown that there are different
implications in choice of model, and it’s associated complexity, for
mixed-activity “everyday” data, when compared with set-activity
dynamic data (e.g. walking). The deficiency of mean path loss,
or even median path loss measures, as a sole characterization of
the BAN channel is also highlighted.)
- 2011-12-01 21:21:32下载
- 积分：1
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classical_music
经典的MUSIC算法，很适合新手的学习和认识(Traditional MUSIC ，DOA adaptive array suitable for newer learning)
- 2013-12-04 11:32:48下载
- 积分：1
