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thefouriermatlab
说明： 用matlab语言实现傅里叶切片定理，以及基于反投影及滤波反投影的CT图像重建的程序设计试验(Matlab language with Fourier slice theorem, and on the back projection and filtered back projection image reconstruction program design CT test)
- 2010-04-13 15:26:41下载
- 积分：1
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Burg3
说明： 本文通过对目前常用的现代谱估计方法一一最大墒谱估计方法中的谱
峰幅度和谱线分辫率两个基本问题的分析和讨论，和经典的傅立叶谱估计方法作比
较，指出在最大墒谱估计方法的应用中应注意的几个问题。
(Based on the currently used modern spectral estimation method 11 method of maximum entropy spectral estimation of the spectral peak amplitude and spectral resolving power are two basic problems of analysis and discussion, and the classical Fourier spectrum estimation methods for comparison, that the maximum Application of entropy spectral estimation method should pay attention to several issues.)
- 2010-05-03 17:29:02下载
- 积分：1
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Hard-threshold-method
基于功率谱相减的语音消噪增强法程序，采用硬阈值法(Power spectrum subtraction based speech denoising Enhancement Act program, using hard-threshold)
- 2011-05-22 15:29:14下载
- 积分：1
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Power_System_Toolbox
POWER SYSTEM ANALYSIS BY HADI
TOOLBOX UNDER MATLAB
- 2012-04-26 02:14:16下载
- 积分：1
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work
Calcul of entropie s image
- 2012-06-02 20:33:27下载
- 积分：1
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mpptcheck
带有mppt光伏阵列的系统仿真，附件中包含参考的文档(With MPPT PV array system simulation, the reference contained in the annex to document)
- 2013-04-19 16:50:19下载
- 积分：1
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iwo
IWO算法在国内还没有被广泛应用，这个算法采用matlab编写~(The IWO algorithm in the country have not been widely applied, this algorithm using matlab prepared to)
- 2012-10-30 21:36:34下载
- 积分：1
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Center
说明： 光谱的中心化处理算法去除一些噪声信息，使建模更精确稳定。(The center of spectral processing algorithms to remove some noise information, so that more accurate modeling stability.)
- 2008-11-04 15:03:21下载
- 积分：1
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FHlijie
对跳频通信同步状态的理解对跳频通信同步状态的理解(Synchronization of frequency hopping communication understood the state of synchronization status on the understanding of frequency-hopping communication)
- 2010-05-29 17:44:20下载
- 积分：1
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ECG
The early detection of arrhythmia is very important
for the cardiac patients. This is done by analyzing the
electrocardiogram (ECG) signals and extracting some features
from them. These features can be used in the classification of
different types of arrhythmias. In this paper, we present three
different algorithms of features extraction: Fourier transform
(FFT), Autoregressive modeling (AR), and Principal Component
Analysis (PCA). The used classifier will be Artificial Neural
Networks (ANN). We observed that the system that depends on
the PCA features give the highest accuracy. The proposed
techniques deal with the whole 3 second intervals of the training
and testing data. We reached the accuracy of 92.7083
compared to 84.4 for the reference that work on a similar
data.
- 2011-09-22 19:15:10下载
- 积分：1
