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Untitled
人工合成地震正演模型是进行三维模型计算的基础。针对地震勘探的原理,本文运用
MATLAB 强大数学计算和图像可视化功能,对一个三层介质模型制作了人工合成地震记录。(Synthetic seismic forward model is the basis of three-dimensional model. The principle of seismic exploration, this paper, a powerful MATLAB math and graphics visualization, for a three-media model making a synthetic seismic record.)
- 2011-04-27 10:13:27下载
- 积分：1
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kf_m
kalman滤波，系统方程主要采用动态模型的例程(Kalman filtering, the system mainly uses dynamic equations of the model routines)
- 2006-12-30 12:52:52下载
- 积分：1
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chapter11
小波分析理论与MATALB R2007 实现第十一章演示代码(The wavelet analysis theory and MATALB R2007 A Chapter XI demo code)
- 2012-05-27 11:17:38下载
- 积分：1
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LVBOQI
基于matlab仿真的四阶椭圆滤波器的仿真，其原理是基于切比雪夫滤波器的传递函数进行推导得来的(Matlab simulation based on fourth-order elliptic filter simulation, the principle is based on Chebyshev filter transfer function is derived come)
- 2013-08-11 18:55:33下载
- 积分：1
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Face_Recognition_Using_Laplacianfaces
face recognition system in matlab...
- 2009-09-07 04:33:08下载
- 积分：1
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DiscreteTFDS-v0.8
DiscreteTFDs is a time-frequency analysis package.
- 2010-08-20 17:10:40下载
- 积分：1
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2D-DOA-estimation
一种基于增广矩阵束的L型阵列的二维DOA估计算法的MATLAB源程序设计(Based 2D DOA estimation algorithm MATLAB source of the L-shaped array augmented matrix beam design)
- 2013-04-01 20:08:51下载
- 积分：1
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PM
说明： the attached file is the power mangement for MP201
- 2007-10-26 16:50:23下载
- 积分：1
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FM_Mod_Demod
FM modulator Code Matlab
- 2009-11-15 07:40:18下载
- 积分：1
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linear_system_identification.tar
The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)
- 2008-08-03 10:18:16下载
- 积分：1
