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matlab7_programming
这是matlab7的编程教程,英文版,适合英文好的同学深入研究,不错喔(This is matlab7 Programming Guide, English version, suitable for students with good English-depth study, yes Oh)
- 2007-11-05 00:28:15下载
- 积分：1
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T
说明： another technique for venturinin
- 2012-04-13 19:05:47下载
- 积分：1
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sourcewt
arma模型的功率谱估计代码。还包括系统的极零点分析等完整软件包。(arma model of the power spectrum estimation code. The system also includes a very complete analysis of 0.1 package.)
- 2007-05-17 01:54:45下载
- 积分：1
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Image-inpainting
attached file contains matlab code
- 2014-12-06 13:06:23下载
- 积分：1
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lms-filter
说明： 自适应滤波器代码，适用于研究生阶段数字信号处理课程。(Adaptive filter code, suitable for the postgraduate stage of digital signal processing courses.
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- 2011-02-20 16:58:50下载
- 积分：1
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shuntfilter1
active shunt filter for power distributed systems
- 2013-09-08 15:28:19下载
- 积分：1
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2.1
噪声信号中正弦信号的现代法频谱分析，在不同周期不同长度和不同信噪比下的结果(Sinusoidal signal in noise spectrum analysis of modern law, in different periods of different lengths and different signal to noise ratio results)
- 2011-11-23 10:23:18下载
- 积分：1
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MUSIC-1D-2D
资料中包含波达方向估计的一种常用方法，包括一维MUSIC和二维MUSIC，可以有效的估计出多个信号方向。(A common method of data contained in the DOA estimates, including one-dimensional and two-dimensional MUSIC MUSIC, can effectively estimate multiple signal direction.)
- 2021-03-19 11:39:19下载
- 积分：1
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firdf
通信系统中基于MATLAB的关于线性滤波器的仿真程序(MATLAB-based communication system on the linear filter simulation program)
- 2009-04-18 17:00:59下载
- 积分：1
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EasyKrig_V3
克里金法广泛地应用于地下水模拟、土壤制图等领域，是一种很有用的地质统计格网化方法。它首先考虑的是空间属性在空间位置上的变异分布．确定对一个待插点值有影响的距离范围，然后用此范围内的采样点来估计待插点的属性值。该方法在数学上可对所研究的对象提供一种最佳线性无偏估计(某点处的确定值)的方法。它是考虑了信息样品的形状、大小及与待估计块段相互间的空间位置等几何特征以及品位的空间结构之后，为达到线性、无偏和最小估计方差的估计，而对每一个样品赋与一定的系数，最后 进行加权平均来估计块段品位的方法。(Kriging is a technique that provides the Best Linear Unbiased Estimator of the unknown fields (Journel and Huijbregts, 1978 Kitanidis, 1997). It is a local estimator that can provide the interpolation and extrapolation of the originally sparsely sampled data that are assumed to be reasonably characterized by the Intrinsic Statistical Model (ISM). An ISM does not require the quantity of interest to be stationary, i.e. its mean and standard deviation are independent of position, but rather that its covariance function depends on the separation of two data points)
- 2013-11-27 09:56:06下载
- 积分：1
