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Imbox
利用MATLAB计算图像盒维数的M文件。自己定参数。(Image box dimension calculation)
- 2014-12-27 22:07:58下载
- 积分：1
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matlab高斯消去法
利用matlab程序实现列主元的高斯消去法。(using Matlab program out of the main yuan Gaussian Elimination Act.)
- 2005-06-12 22:07:35下载
- 积分：1
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beylkin-sar-spie
Many synthetic aperture radar (SAR) image formation algorithms require the computation of a multidimensional
Fourier transform of irregularly-sampled or unequally-spaced data samples. We apply a recently developed
algorithm, the unequally-spaced FFT (USFFT),2 to SAR image formation and compare its accuracy and complexity
to a conventional algorithm. We find that the USFFT algorithm allows comparable accuracy to traditional
approaches at a slightly reduced computational cost. We briefly discuss extensions of the USFFT algorithm to
multiresolution SAR imaging
- 2012-05-27 18:09:28下载
- 积分：1
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mritool.tar
matlab codes for basic algorithms for MRI
- 2010-09-13 14:59:15下载
- 积分：1
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guiselefil
very helpful GUI to select files and directories
- 2010-09-29 18:19:37下载
- 积分：1
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LBG
1. 对LBG算法的理解和使用；
2.Matlab矩阵数据的处理。(Understood that the use of vector quantization for image quantized principle: a number of samples of the sequence are jointly quantified, instead of a similar set of values with a value, to reduce the quantization error master Vector quantizer codebook design, the experimental use LBG algorithm codebook design 3. LBG algorithm to understand and use 4.Matlab matrix data processing.)
- 2014-12-13 13:51:22下载
- 积分：1
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Voicesubframe
语音分帧程序，解决了MATLAB难以读取.WAV问题(Voice sub-frame process of MATLAB to solve difficult to read. WAV problem)
- 2009-06-02 03:40:33下载
- 积分：1
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welch-and-burg
welch 和burg 算法实现功率谱估计(welch and burg algorithm to achieve power spectrum estimation)
- 2012-06-27 20:03:27下载
- 积分：1
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mcmc_ising
MCMC based Ising model simulation
- 2013-03-13 07:25:45下载
- 积分：1
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emd综合
说明： 经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)
- 2020-10-22 12:01:28下载
- 积分：1
