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polynomial_synthesis
Code to obtain the filtering function polynomials F(s), E(s) and P(s), and the constants eps and eps_r from transmission zeros, with Cameron s method.
- 2013-07-15 18:45:31下载
- 积分：1
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FSK
是初学者运用matlab对FSK仿真的好实例，包括2FSK和4FSK(Is for beginners to use matlab on FSK simulation of a good example, including 2FSK and 4FSK)
- 2012-04-03 22:32:23下载
- 积分：1
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2
说明： Another matlab file for transporter seller progrramming, as before
- 2013-07-29 21:33:30下载
- 积分：1
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Antenna_Gui
c est programme pour afficher les lobs d un antenne
- 2012-06-06 18:52:38下载
- 积分：1
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AP
说明： AP聚类算法的源代码，基于matlab程序，有较详细解说(AP clustering algorithm source code, based on matlab program, a more detailed explanation)
- 2014-06-05 15:17:58下载
- 积分：1
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quyuzengzhang
一种基于区域增长的图像分割方法，代码实现比较简单。(An image segmentation method based on regional growth, the code is relatively simple.)
- 2012-05-21 20:19:57下载
- 积分：1
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matlab-Tutorial
MATLAB入门教程，WORD形式，共有33页。简单易懂，是入门级配合书籍必看的。(The MATLAB introductory tutorial, WORD form, a total of 33. Easy to understand, is the entry-level with the books must see.)
- 2013-03-26 15:36:32下载
- 积分：1
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Computer-Vision-Using-Local-Binary-Patterns
The local binary pattern (LBP) is a simple yet very efficient operator which labels
the pixels of an image by thresholding the neighborhood of each pixel and considers
the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used
together with other image descriptors
- 2013-09-19 10:04:03下载
- 积分：1
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多目标优化
说明： 多目标程序优化，各种算法，成本费用优化，大家可以相互交流(Multi objective program optimization, various algorithms, cost optimization, we can communicate with each other)
- 2020-12-08 16:43:52下载
- 积分：1
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Untitled2
ann The models used in MPC are generally intended to represent the behavior of complex dynamical systems. The
additional complexity of the MPC control algorithm is not generally needed to provide adequate control of
simple systems, which are often controlled well by generic PID controllers. Common dynamic characteristics
that are difficult for PID controllers include large time delays and high-order dynamics.
- 2013-04-23 12:47:11下载
- 积分：1
