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OFDM-Tutorial_matlab
ofdm 介绍的文章,含原理与实例论证(含图) ,附件中是仿真代码,可单步跟踪查看,很好的学习资料(OFDM introduction of the article, including theory and examples of argumentation (including map), the annex is the simulation code, can single-step tracking of view, a very good learning materials)
- 2009-02-06 21:24:19下载
- 积分:1
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ASK通信编程仿真源程序-ask
ASK通信编程仿真源程序(ASK communication simulation programming source)
- 2005-03-26 20:42:16下载
- 积分:1
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PlateLocal(matlab)
实现车牌识别并自动定位* 主函数:MyCarLocal.m
*
* im2gray 将图像转化为灰度图象;
*
* mycombine 区域合并;
*
* select 前期处理的区域选取;
*
* isplate 判断检测出的区域是否为车牌区域,还需要继续完善。(Automatic license plate recognition and positioning to achieve)
- 2010-10-26 13:58:40下载
- 积分:1
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7fitness
说明: 最优化方法(防止限于局部最优等情况时)验证函数,以确定方法的有效性(Test functions)
- 2011-04-14 21:58:47下载
- 积分:1
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sourse
本资源提供了几种matlab源代码,差值与拟合,规划问题,解方程,数值分析,非常有用。(Resources of several Matlab source code, the difference between fitting and planning problems, solving equations, numerical analysis, very useful.)
- 2012-04-12 09:03:40下载
- 积分:1
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pfc
power factor correction using matlab
- 2012-01-08 02:43:24下载
- 积分:1
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PMSM
matlab中的永磁同步电机实验算法验证工程(The permanent magnet synchronous motor matlab algorithm validation experiment works)
- 2015-04-05 00:53:49下载
- 积分:1
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ARMA2_SHIYAN
ARMA 时间序列建模、预测、检验和说明(ARMA MODELS IN EVIEWS AND DOCUMENTS)
- 2010-12-02 00:57:40下载
- 积分:1
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cskmeans
说明: K-MEANS算法是输入聚类个数k,以及包含 n个数据对象的数据库,输出满足方差最小标准的k个聚类。
(K-MEANS algorithm is the input number of clusters k, and n a data object that contains the database and output to meet the standard minimum variance k-clustering.)
- 2011-04-06 15:05:28下载
- 积分:1
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Connected-Component-based-text-region-extraction
The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used for
further processing. The output is a gray image.
2. Convert the gray image to an edge image.
3. Compute the horizontal and vertical projection profiles of candidate text regions
using a histogram with an appropriate threshold value.
4. Use geometric properties of text such as width to height ratio of characters to
eliminate possible non-text regions.
5. Binarize the edge image enhancing only the text regions against a plain black
background.
6. Create the Gap Image (as explained in the next section) using the gap-filling
process and use this as a reference to further eliminate non-text regions the
output.
- 2014-12-16 00:41:34下载
- 积分:1