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tj
说明: matlab中的16QAM调制的程序,希望大家觉得有用(16QAM modulation in matlab procedures)
- 2009-04-30 01:11:19下载
- 积分:1
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Beginning-C-for-Arduino
Beginning C for Arduino
- 2013-07-17 12:48:44下载
- 积分:1
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Diffusion
This toolbox has functions to perform nonlinear diffusion images. This kind of image filtering is particularly useful for reducing noise and to simplify images for further segmentation. Much of these functions are based on Perona and Malick s work, and also on J. Weickert s papers. The fast AOS diffusion is implemented. There is also 3D diffusion functions, color image diffusion and Coherence-Enhancing diffusion
(This toolbox has functions to perform nonl inear diffusion images. This kind of image fi ltering is particularly useful for reducing no ise and to simplify images for further segmenta tion. Much of these functions are based on Peron a and Malick's work, and also on J. Weickert's papers. The hypothetical fast AOS fusion is implemented. There is also 3D diffusi on functions, color image diffusion and Coherence- enhancin g diffusion)
- 2007-03-31 02:15:33下载
- 积分:1
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lpc
this is a matlab code for linear predictive coder
- 2012-09-25 09:50:23下载
- 积分:1
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kalman_filter
说明: 滤波的一个经典程序,是编写其他程序的基础,作为模板使用,可以学习(A classic filtering procedure is the basis for the preparation of other programs, as a template, you can learn)
- 2011-04-09 22:04:56下载
- 积分:1
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worksttc
空时格码编码器(STTC encoder)
- 2007-01-16 14:19:14下载
- 积分:1
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遗传算法加BP神经网络
实现遗传算法GA和BP神经网络的最优化问题(Realization of genetic algorithm GA and BP neural network optimization problem)
- 2020-06-28 23:40:02下载
- 积分:1
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Rayleigh
自己编的MIMO瑞利衰落子程序,四径,车速20,参数可以修改(Rayleigh fading MIMO compiled its own subroutines, four tracks, speed 20, the parameter can be modified)
- 2009-12-24 11:17:18下载
- 积分:1
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2
说明: 设计巴特沃斯型、椭圆、切比雪夫数字低通滤波器,并对加入噪声的图像进行滤波(design Buttetworth、cheby1 and ellip LF,and use these filters in image processing.)
- 2011-05-17 16:05:50下载
- 积分:1
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kmeans
k-means 算法接受参数 k ;然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足:同一聚类中的对象相似度较高;而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”(引力中心)来进行计算的。(K-means algorithm accept parameter k Then will the n of prior input data object is divided into k clustering to make won clustering meet: the same clustering the object in the similarity is higher And different clustering the object in the smaller similarity. Clustering similarity is using the cluster of the object in the mean gained a "center object" (the center of gravity) to calculate.
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- 2011-06-26 19:51:58下载
- 积分:1