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Description: 小波变换在语音和生物医学信号处理中的应用 431
17.1 小波变换在语音信号处理中的应用 431
17.1.1 小波变换在语音增强中的应用 431
17.1.2 小波变换在语音压缩中的应用 433
17.2 小波变换在生物医学信号处理中的应用 435
17.2.1 基于小波变换的ECG信号压缩 435
17.2.2 基于小波变换的EEG信号多分辨率分析 437-wavelet transform voice, and biomedical signal processing of 431 in 17.1 wavelet transform voice signal Treatment of 431 17.1.1 wavelet transform in the speech enhancement of 431 17.1.2 wavelet change for the speech compression of 433 17.2 wavelet transform in biomedical signal processing applications 435 17. 2.1 Based on wavelet transform 435 ECG signal compression based on wavelet transform 17.2.2 EEG signal more hours Analysis of 437 identified
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Size: 3994 |
Author: 崔鹏 |
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Description: 小波变换在语音和生物医学信号处理中的应用 431
17.1 小波变换在语音信号处理中的应用 431
17.1.1 小波变换在语音增强中的应用 431
17.1.2 小波变换在语音压缩中的应用 433
17.2 小波变换在生物医学信号处理中的应用 435
17.2.1 基于小波变换的ECG信号压缩 435
17.2.2 基于小波变换的EEG信号多分辨率分析 437-wavelet transform voice, and biomedical signal processing of 431 in 17.1 wavelet transform voice signal Treatment of 431 17.1.1 wavelet transform in the speech enhancement of 431 17.1.2 wavelet change for the speech compression of 433 17.2 wavelet transform in biomedical signal processing applications 435 17. 2.1 Based on wavelet transform 435 ECG signal compression based on wavelet transform 17.2.2 EEG signal more hours Analysis of 437 identified
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Size: 4096 |
Author: 崔鹏 |
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Description: 该程序是用小波函数构建神经网络的源程序。用以分析心电信号、脑电信号等等。-that the procedure was constructed using wavelet neural network function of the source. For the analysis of ECG, EEG, and so on.
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Size: 1024 |
Author: sandy4000 |
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Description: 关于小波用于心电分析的ppt，详细的介绍了去除噪声和衡量标准-On Wavelet for ECG analysis ppt, a detailed introduction of the removal of noise and measurement standards
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Size: 109568 |
Author: rex |
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Description: 脑电信号的小波分解 本程序分解为四层，并加了一个Matlab编程课件 希望对大家有所帮助-EEG wavelet decomposition of the process is broken down into four, and adding a Matlab programming courseware would like to help everyone
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Size: 1561600 |
Author: 王晶 |
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Description: 脑电信号是脑神经细胞电生理活动在大脑皮层或头皮表面的总体反映 ,脑电信号的研究
一直是生物医学领域难度很大且倍受人们关注的课题。在简要回顾了脑电研究的历史和现状的基础上 ,重点论述了混沌分析法、人工神经网络(ANN)分析法、小波变换法、Wigner 分布等在脑电信号分析和处理中的应用情况。最后展望了脑电信号研究的发展应用前景。-EEG is a brain cell electrophysiological activity in the cerebral cortex or the scalp surface, the overall reflection of the study EEG bio-medical field has always been a very difficult and oft-topic of concern. After a brief review of the history and current status of EEG research, based on the analysis focuses on the chaos, artificial neural network (ANN) analysis, wavelet transform, Wigner distribution in the brain signal analysis and processing of the application. Finally, the future research and development of EEG application.
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Size: 101376 |
Author: 还都 |
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Description: 作者使用matlab程序开发了脑电图信号接口程序，并利用小波分解对脑电信号节律提取。-By using the matlab program development of EEG signal interface program, and the use of wavelet decomposition of the EEG rhythm extraction.
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Size: 2048 |
Author: zh |
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Description: 脑电波分析程序，由EEG仪器采集脑电波，然后用小波变换来分析采集的脑电波信号-Brain wave analysis program, collected by the EEG brain wave instrument, and then use wavelet transform to analyze the EEG signal acquisition
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Size: 1024 |
Author: 吴颖 |
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Description: EEG采集脑电波，然后用小波变换分析睁眼时产生脑电波的频率及各项数据-EEG brain waves collected and then analyzed using wavelet transform eyes when the frequency of brain waves generated and the data
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Size: 1024 |
Author: 吴颖 |
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Description: 小波去噪的几篇论文
Automatic identification and Removal of ocular artifacts from EEG using Wavelet transform
小波去噪理论及MATLAB实现研究
小波分析在信号降噪处理中的应用
小波软阈值滤波在信号去噪中的有效性研究-Wavelet denoising of several papers Automatic identification and Removal of ocular artifacts from EEG using Wavelet transform Wavelet Denoising MATLAB implementation of wavelet theory and analysis of noise in the signal processing using wavelet soft threshold filter effectiveness in signal denoising study
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Size: 5649408 |
Author: STyuco |
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Description: 熵算法在脑电处理用的应用的几篇文章
基于排列组合熵的脑电信号睡眠分期研究
基于小波变换与近似熵的睡眠分期研究
睡眠脑电的关联维数和样本熵分析 等-EEG entropy algorithm in the application used for treatment of several articles based on permutation entropy of EEG sleep stages and the approximate entropy based on wavelet transform of the sleep stages of sleep EEG correlation dimension and sample entropy analysis
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Size: 3972096 |
Author: 陈郁乔 |
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Description: 有小波分解求小波熵，还有小波包技术求解信号特征，适应与分析脑电信号特征-Seeking a wavelet decomposition wavelet entropy, and wavelet packets technique to solve the signal characteristics, and analysis of EEG characteristics of adaptation
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Size: 1024 |
Author: gluck |
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Description: 从脑电信号的分析出发,论述了频域分析、时域分析等脑电图分析中常用的信号分析方法和特点,特别介绍了Wigner分布、小波变换和匹配跟踪等时频分析方法、人工神经网络和非线性动力学方法在脑电信号分析和处理中的应用情况。
-From the analysis of eeg, discusses the frequency domain and time domain analysis analysis in the analysis of the commonly used eeg signal analysis method and characteristics, especially introduced the Wigner distribution, wavelet transform and matching trace the method of time-frequency analysis, artificial neural network and nonlinear dynamics method of eeg analysis and processing in the application.
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Size: 32768 |
Author: lvxin |
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Description: 小波与希尔伯特-黄变换结合分析脑电信号，先进行频域分解，再进行hht分析-wavelet and hht transform, analyze eeg
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Size: 1024 |
Author: 张生 |
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Description: 运用小波变换的方法对脑电数据进行处理，进行脑电信号分解和信号重置-Wavelet transform EEG data processing, EEG decomposition and signal reset
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Size: 1024 |
Author: 江晨阳 |
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Description: 心电信号的读入，滤波，以及小波变换并重构。-ECG reads, filtering, and wavelet transform and reconstruction.
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Size: 1024 |
Author: 邱莲 |
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Description: 脑电信号的小波软阈值处理，小波硬阈值处理和一种新的小波阈值处理。-Wavelet soft thresholding EEG, wavelet thresholding and hard A new wavelet thresholding.
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Size: 1024 |
Author: ren |
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Description: 通过小波分析和独立分量分析来去除脑电信号中的运动伪迹，有很好的参考价值。-Wavelet analysis and independent component analysis to remove EEG motion artifact, a good reference value.(Robust removal of short-duration artifacts in long neonatal EEG recordings using wavelet-enhanced ICA and adaptive combining of tentative reconstructions)
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Size: 1331200 |
Author: 王保增 |
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Description: 一些脑电数据和特征提取，提取的是小波包能量(Some EEG data and feature extraction are extracted from wavelet packet energy)
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Size: 795648 |
Author: 烂烂
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Description: 针对小波变换在信号处理中的不足，提出了 双树复小波变换的方法信号进行处理，特别是对心电和脑电信号的去躁处理，最后和小波变换比较。(In view of the deficiency of wavelet transform in signal processing, a dual tree complex wavelet transform method is proposed to deal with the signal, especially for the ECG and EEG signals. Finally, the wavelet transform is compared with the wavelet transform.)
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Size: 71680 |
Author: jiajiale
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