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FB
说明: Matlab simulink model for polyphase filter bank
- 2010-11-08 00:19:57下载
- 积分:1
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work1
在matlab环境下利用追赶法解线性方程组的算法实现(Matlab environment in the use of catch-up method of solution of linear equations algorithm)
- 2007-11-11 20:56:00下载
- 积分:1
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080609
说明: 基于MATLAB的FIR带阻数字滤波器的设计
由于生物医学信号处理过程中易混入50Hz噪声的特点,本文利用程序设计法和FDATool设计法,设
计一带阻滤波器,并将设计的滤波器应用到一混和正弦信号,通过测试检验,该滤波器可以很好地消除50Hz的工
频干扰。(】To prevent the biomedical signals from being disturbed by 50Hz noise easily,the paper designs a
bandstop digital filter by procedure and FDATool method.The filter is tested by a blended 81ne wave experimentally and the
result shows that the filter can cancel the 50Hz noise very well.)
- 2009-08-09 11:04:10下载
- 积分:1
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lujingguihua
很好用的基于人工势场法做的matlab路径规划算法 仿真程序(Do based on artificial potential field method matlab well used path planning algorithm simulation program)
- 2014-10-24 21:08:08下载
- 积分:1
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2
说明: 现代线性控制理论实验课程的原理,以及有关matlab的例子应用(Modern linear control theory, the principles of experimental program, as well as examples of application of the matlab)
- 2011-07-12 15:54:37下载
- 积分:1
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yuzhi
波阈值去噪,比较了软阈值,硬阈值及当今各种阈值计算方法和阈值函数处理方法的性能,通过信噪比及均方差的比较,得出各种的算法的优劣(Wave threshold denoising compared soft threshold and hard threshold and the current calculation method and the various thresholds threshold function processing performance of the method by SNR and mean square deviation of the comparison, the pros and cons of various algorithms)
- 2013-11-19 12:36:37下载
- 积分:1
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Polar-code-application-in-ofdm
极化码研究论文 仿真 分析 编码 解码 原理介绍 背景介绍(Polarization code simulation analysis research paper describes the principles codec Background)
- 2015-04-16 10:32:23下载
- 积分:1
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matlabFDTD1dfdtd
在matlab上的FDTD程序关于一维时域有限差分(Matlab program on the one-dimensional FDTD finite difference time domain)
- 2010-10-14 15:16:29下载
- 积分:1
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Matlab_Eye_Detect_Release
code for eye tracking matlab
- 2011-05-02 22:34:48下载
- 积分:1
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classical_music_2
MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲,信号处理的观测空间可以分解为信号子空间和噪声子空间,显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成,噪声子空间则由协方差矩阵中所有最小特征值(噪声方差)对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)
- 2013-09-15 20:26:53下载
- 积分:1