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acoustic_clayton_engquist_1
均匀介质二维声波数值模拟,采用clayton-engquist 1阶边界条件。有公式及参考文献。带有速度模型以及雷克子波函数,解压后直接运行就可以(2D acoustic numerical simulation of a homogeneous medium, using the clayton-engquist 1-order boundary conditions. Formulas and references. With the velocity model and the the Ricker wave function, and can run directly after decompression)
- 2012-09-08 15:19:52下载
- 积分:1
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mVmodel
matlab与C的混编,处理乘性噪声,建立M次开根号模型,需要调整参数。(written with matlab and C by S. Yun and H. Woo, "A new multiplicative denoising variational model based on m-th root transformation".)
- 2013-11-12 22:24:03下载
- 积分:1
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algoritm
使用蟻群演算法來求解旅行推銷員問題於matlab上(Using ant colony algorithm to solve the traveling salesman problem in matlab)
- 2010-08-12 23:56:32下载
- 积分:1
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SpaceTimeCodesandMIMOSystems1
经典通信书《Space-time codes and MIMO systems》(Classic Communications book " Space-time codes and MIMO systems" )
- 2010-01-14 09:39:04下载
- 积分:1
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kalman
采用matlab变成的卡尔曼滤波的一种方法,在电子工程、自动控制等方面均有广泛应用(kalman filter)
- 2013-12-23 14:58:25下载
- 积分:1
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matlab-a-VC
Vc+_+调用matlab的一个实例,包括matlab源文件,VC源文件,以及word和pdf文件说明(Vc+_+ call matlab one instance, including the matlab source file, VC source files, as well as word and pdf file description)
- 2013-07-13 16:10:42下载
- 积分:1
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boundary
计算地质体边界的程序,非常好用,主要采用matlab编写(Geological boundaries of the calculation procedure is very easy to use, mainly written using matlab)
- 2011-07-24 21:53:24下载
- 积分:1
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MT-forward
MT正演修正法一维反演,适用于地震资料解释(MT Forward Amendment Act one-dimensional inversion for seismic data interpretation)
- 2011-09-08 20:32:50下载
- 积分:1
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Firefly-algorithm-with-chaos
firefly algorithm with chaos
in matlab
- 2015-01-06 23:23:58下载
- 积分:1
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xinhaoxishubiaoshi
信号稀疏表示是一种新兴的信号分析和综合方法,其目的就是在过完备字典中用尽可能少的原子来表示信号。采用时频原子字典的信号稀疏表示能够有效地揭示非平稳信号的时变特征。信号稀疏表示吸引了研究者的大量关注,这种方法已经被应用到信号处理的许多方面,例如非平稳信号分析,信号编码、识别与信号去噪等。(Signal sparse representation is a new method of signal analysis and synthesis, and its purpose is in over-complete dictionary of atoms using as little as possible to represent the signal. When using frequency atom dictionary signal sparse representation can effectively reveal the time-varying characteristics of non-stationary signals. Signal sparse representation attracted a lot of attention of researchers, this method has been applied to many aspects of signal processing, such as non-stationary signal analysis, signal encoding, recognition and signal denoising.)
- 2016-12-06 14:15:49下载
- 积分:1