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match
相位相关配准,图像匹配,图像处理,matlab源码(phase correlation registration, image matching, image processing, Matlab FOSS)
- 2007-07-04 10:40:22下载
- 积分:1
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m
说明: 一些例题是m源代码,供大家参考与学习,希望对大家有所帮助。(Some examples are m source code for reference and learning, we want to help.)
- 2010-07-04 20:24:54下载
- 积分:1
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SVDbasics
svd basics from B. Matuszewski
(svd basics from B. Matuszewski
)
- 2010-12-02 06:37:25下载
- 积分:1
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reconocimiento_habla
Voice/Speech recognition
- 2009-06-10 20:58:24下载
- 积分:1
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Strong-tracking-filter
基于强跟踪滤波算法的惯性加GPS组合导航matlab仿真程序(Strong tracking filter algorithm based IMU+ GPS integrated navigation matlab simulation program)
- 2020-12-17 22:59:11下载
- 积分:1
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Extracting-Optimal-Motion-Planning
Extracting Optimal Pathsfor Motion Planning
- 2013-03-04 00:23:37下载
- 积分:1
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Wheeled_Mobile_Robot
很好的机器人轨迹跟踪程序,欢迎大家下载学习(Good path tracking program, are welcome to download study)
- 2010-11-26 16:44:12下载
- 积分:1
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BCHDecode
关于BCH码的解码matlab程序。可以作为函数引用。(BCH code decoding matlab program. As a function reference.)
- 2012-08-17 17:15:01下载
- 积分:1
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INVERTERPWMcompensater
compensation of dead time effect of the inverter dead time effect causes the impact of the control performance of the INVERTER system, and pointed out that the dead time compensation, the key lies in the current phase of the acquisition, in order to overcome the practical zero of the current ambiguity of the system is proposed based on the two-phase stationary coordinate system under the feedforward dead-time compensation method. by the offset voltage of the three-phase output current cycle Fourier transform is found only compensation 1, 5, 7 harmonic components to eliminate the dead time effect. simulation and experimental results verify the correctness and feasibility of this approach.
- 2013-11-11 23:14:37下载
- 积分:1
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RICE-UNIVERSITY
标准压缩感知(CS)理论决定了可靠的信号恢复是可能给M= O(KLOG(N / K))的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is possible from M=O(Klog(N/K)) measurements. We demonstrate that it is possible to substantially decrease Mwithout sacrificing robustness by leveraging more realistic signal models that go beyond simple sparsity and compressibility by including dependencies between values and locations of the signal coefficients.
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- 2014-01-06 20:07:54下载
- 积分:1