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knnsearch
寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理(This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing.
The code was initially implemented through vectorization. After discussions with John D Errico, I realized that my algorithm will suffer numerical accurancy problem for data with large values. Then, after trying several approaches, I found simple loops with JIT acceleration is the most efficient solution. Now, the performance of the code is comparable with kd-tree even the latter is coded in a mex file.
The code is very simple, hence is also suitable for beginner to learn knn search.)
- 2010-03-16 14:08:11下载
- 积分：1
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ps3av_cmd
AV backend support for PS3.
- 2014-08-20 11:23:25下载
- 积分：1
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Decoupling-control-requirements-u
解耦控制要求下的极点配置Matlab算法(Decoupling control requirements under the pole placement Matlab algorithm)
- 2013-09-02 08:59:05下载
- 积分：1
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range-compress
这是一个在合成孔径雷达中使用的信号脉冲压缩程序。(This is a range compress program of signal processing used in SAR. )
- 2013-10-22 22:08:56下载
- 积分：1
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VSP_Q
该程序属于地震信号处理方面，用于估计零偏移距VSP数据中的Q值。(The program is part of the seismic signal processing for estimating the zero-offset VSP data in the Q value.)
- 2015-06-27 12:18:09下载
- 积分：1
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Illustration_Norms
or a thorough description of the norms, see the Chapter 4 of Robust and Optimal Control, Zhou, Glover, Doyle 1996.
Here the point is to give some lines of code illustrating what are the H2 and Hinf norms of LTI systems.
In that sense, it is also illustrated that the H2 norm is smooth in the space of the system parameters, whereas the Hinf norm is non-smooth locally Lipschitz (since it is a min-max problem, thus prone to the waterbed effect ).
- 2015-01-25 21:06:50下载
- 积分：1
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buck_converter
buck converter implementation in simulink
- 2015-04-06 19:48:49下载
- 积分：1
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dereverberation_prediction_chab
reverberation based on lpc
- 2017-06-21 16:31:19下载
- 积分：1
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b
说明： ：DBSCAN是一个基于密度的聚类算法。该算法将具有足够高密度的区域划分为簇，并可以在带有“噪声”的空间数
据库中发现任意形状的聚类。但DtLqCAN算法没有考虑非空间属性，且DBSCAN算法需扫描空间数据库中每个点的e一
邻域来寻找聚类，这使得DBSCAN算法的应用受到了一定的局限。文中提出了一种基于DBSCAN的算法，可以处理非空
间属性，同时又可以加快聚类的速度。(: DBSCAN is a density-based clustering algorithm. The algorithm has a sufficiently high density area is divided into clusters, and to be with the " noise" found in the spatial database clusters of arbitrary shape. But DtLqCAN algorithm did not consider non-spatial attributes, and spatial database DBSCAN algorithm to be scanned for each point e in the neighborhood to find a cluster, DBSCAN algorithm which makes the application subject to certain limitations. In this paper, an algorithm based on DBSCAN can handle the non-spatial attributes, can also speed up the clustering speed.)
- 2010-12-06 16:38:45下载
- 积分：1
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Quarteroni
Matlab source codes for a book: Quarteroni Saleri 2006 Scientific Computing with MATLAB and Octave
- 2013-09-20 21:00:22下载
- 积分：1
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