EL KA

Score: 165
Uploads: 5
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Create time: 2019-04-13 18:49:40

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laverie2005 F.rar - Then, an end detection phase (onset, ending) is necessary. A method of extraction of signals S1 and S2, based on the optimized S-transform, is discussed and compared with the different approaches that exist in the literature
stage laverie2005 F.rar - CERPHOS: Center for Analysis and Research of Phosphates. FERTIMA: Moroccan Society of Fertilizers. IPSE: Institute of Socio-Educational Promotion. MOROCCO PHOSPHORUS: industrial chemical direction. MARPHOCEAN: transfer of Maritime OCP shares. Phosboucraa. SMESI: Moroccan Society of Special and Industrial Studies SOTREG: Regional Transport Company.
Copie de Rapport du.rar - the classification of cardiac signals, the methods described in the literature to classify S1 and S2, are based on temporal criteria (duration of systole and diastole) which will no longer be valid in several pathological cases such as tachycardia strict. A new descriptor from the time-frequency domain is evaluated and validated for discriminate S1 from S2. Then, a new method of generating attributes, based on the Empirical modal decomposition (EMD) is proposed. Non-linear descriptors are also tested, in order to classify sounds normal heart and pathological sounds in the presence of systolic murmurs
Rapport du stage F.rar - also to thank Christian Brandt for his enthusiasm and his remarkable motivation and for all the help he could bring especially in the medical context. My great thanks to the Alsace region for agreeing to finance this work of thesis. I thank my rapporteurs, Laurent Daudet and Olivier Meste, for accepting the heavy rapporteur and paid close attention to my manuscript. I thank also Jean Merckle for agreeing to preside over my
Rapport du stage laverie2005 F.rar - The enrichment of poor phosphates by wet methods or washing occupies an important place among the processes of treatment of phosphate ores applied in Morocco. Thus the O.C.P group has four laundries in operation and a fifth planned for the treatment of phosphates poor sidi Channane.

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un030.zip - 内含心电信号数据及运用MATLAB写的源代码,分数阶傅里叶变换计算方面,相控阵天线的方向图(切比雪夫加权)。
Not-including-noise-in-ECG-signal.rar - 给模拟心电信号加高斯噪声,分别用切比雪夫滤波器,巴特沃斯滤波器,维纳滤波器对其消噪
ecgdataandfilter.zip - program about ecg data filter in matlab
Decomposition.rar - decomposition of ECG upto 4 leveles for the purpose of analysis ,,denoising ets
ecg_libraries.zip - it use to extract thre feature of ecg signal using pca
AdvancedMethodsAndToolsforECGDataAnalysis.rar - 介绍心电图(ECG)的数据分析原理、方法和程序
ky406.zip - 非归零型差分相位调制信号建模与仿真分析 ,使用大量的有限元法求解偏微分方程,内含心电信号数据及运用MATLAB写的源代码。
ECG-classification.zip - 心电图是一种经胸腔的以时间为单位记录心脏的电生理活动,并通过皮肤上的电极捕捉并记录下来的诊疗技术,能警示人体心脏健康状况。我们对十种不同心脏状况的心电图(ECG)数据进行实验,在对原始数据进行了一系列预处理后,利用PCA和ICA进行特征提取降维得到新的特征空间,并利用支持向量机进行训练,最后对未分类心电数据进行分类标记并评价其性能。
matlabECG02.rar - 心电信号仿真数学模型建立,包含心电图波形的检测
matlabECG03.rar - 心电信号仿真数学模型建立,基于国外的一片论文的源代码,包括可调的几个关键参数。
matlabEcg01.rar - 关于心电信号的仿真模型,包括滤波、平滑等信号处理
maipui_v27.zip - 与理论分析结果相比,非归零型差分相位调制信号建模与仿真分析 ,内含心电信号数据及运用MATLAB写的源代码。
qiuman.zip - DSmT证据推理的组合公式计算函数,非归零型差分相位调制信号建模与仿真分析 ,内含心电信号数据及运用MATLAB写的源代码。
A58g.rar - This paper describe the features extraction algorithm for electrocardiogram (ECG) signal using Huang Hilbert Transform and Wavelet Transform. ECG signal for an individual human being is different due to unique heart structure. The purpose of feature extraction of ECG signal would allow successful abnormality detection and efficient prognosis due to heart disorder. Some major important features will be extracted ECG signals such as amplitude, duration, pre-gradient, post-gradient and so on. Therefore, we need a strong mathematical model to extract such useful parameter. Here an adaptive mathematical analysis model is Hilbert-Huang transform (HHT). This new approach, the Hilbert-Huang transform, is implemented to analyze the non-linear and nonstationary data. It is unique and different the existing methods of data analysis and does not require an a priori functional basis. The effectiveness of the proposed scheme is verified through the simulation.
complete1.rar - This paper describe the features extraction algorithm for electrocardiogram (ECG) signal using Huang Hilbert Transform and Wavelet Transform. ECG signal for an individual human being is different due to unique heart structure. The purpose of feature extraction of ECG signal would allow successful abnormality detection and efficient prognosis due to heart disorder. Some major important features will be extracted ECG signals such as amplitude, duration, pre-gradient, post-gradient and so on. Therefore, we need a strong mathematical model to extract such useful parameter. Here an adaptive mathematical analysis model is Hilbert-Huang transform (HHT). This new approach, the Hilbert-Huang transform, is implemented to analyze the non-linear and nonstationary data. It is unique and different the existing methods of data analysis and does not require an a priori functional basis. The effectiveness of the proposed scheme is verified through the simulation.
bert.rar - 心电数据的匹配,hilbert变换用于心电的检测和分析
ecg.rar - 小波处理心电信号,去除心电信号中的各种干扰信号,可以做为学习ECG信号处理的学习资料
ECGsignal-reconstruction.rar - ECG signal denoising by wavelet method
HiddenMarkovModelToolbox.rar - Hidden Markov Model Toolbox Hidden Markov Model Toolbox
myidwt1.rar - matlab环境的小波压缩算法,给予dwt的心电图压缩,滤去了高频分量,具有较高的压缩比率

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