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 Platform: |
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Author:崔鹏 |
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Description: 基于matlab的信号时频分析仿真
MATLAB 软件在多个研究领域都有着广泛的应用。其中,它的频谱分析和滤波器的分析设计功能很强,从而使数字信号处理变得十分简单、直观。本文介绍了时频分析基础理论及一些应用,运用MATLAB 语言实现了旨在构造一种时间和频率的密度函数,以揭示信号中所包含的频率分量及其演化特性的wigner-ville 分布。-Matlab-based time-frequency signal analysis and simulation software MATLAB in a number of research fields as wide Pan application. Among them, its spectrum analysis and the analysis of filter design function very strong, so that the digital signal processing is very simple. intuitive. This paper presents a time-frequency analysis of basic theory and some applications, use MATLAB to the structure of a time and frequency density function, to reveal the signal contained in the frequency components and evolution of the air to air-ville distribution. Platform: |
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Description: 脑电信号EEG的信号波形分析，采用小波分解之后plot出波形-EEG signal EEG waveform analysis using wavelet decomposition of the waveform after the plot Platform: |
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Author:larry |
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Description: 数字信号处理在机械制造中，基于 FFT算法的频谱分析仪用于振动分析和机械故障诊断；医学中使用数字信号处理技术对心电(ECG)和脑电(EEG)等生物电信号作分析和处理；数字音频广播(DAB)广泛地使用了数字信号处理技术。可以说，数字信号处理技术已在信息处理领域引起
了广泛的关注和高度的重视。-Digital signal processing in the machinery manufacturing, FFT algorithm based on a spectrum analyzer for vibration analysis and mechanical fault diagnosis medicine use of digital signal processing technology for ECG (ECG) and EEG (EEG) and other bio-signals analysis and treatment Digital Audio Broadcasting (DAB) extensive use of digital signal processing technology. It can be said digital signal processing technology has been in the field of information processing caused by
A wide range of attention and a high degree of attention. Platform: |
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Author:尹泉 |
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Description: 本程序通过调用matlab提供的信号分析函数对脑电信号进行分析变换，对信号处理工作具有很大帮助。-This procedure provided by calling matlab EEG signal analysis function analysis of transformations, the signal processing of great help. Platform: |
Size: 1848320 |
Author:Bruce |
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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. Platform: |
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Author:还都 |
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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 Platform: |
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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 Platform: |
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Author:STyuco |
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Description: REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB.
EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) signal, EOG (Electrooculograph) signal or ECG (Electrocardiograph) signal. These artifacts appear as noise in the recorded EEG signal individually or in a combined manner. Usually physicians are misled by these noisy signals and the EEG analysis can go wrong. This paper presents noise cancellation i.e. removal of noise signal which can be either EMG, ECG or a combination of these two artifacts from the corrupted EEG signal and also signal enhancement both using recurrent learning technique. For this purpose, we have implemented the RTRL (Real Time Recurrent Learning) algorithm,
-REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB.
EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) signal, EOG (Electrooculograph) signal or ECG (Electrocardiograph) signal. These artifacts appear as noise in the recorded EEG signal individually or in a combined manner. Usually physicians are misled by these noisy signals and the EEG analysis can go wrong. This paper presents noise cancellation i.e. removal of noise signal which can be either EMG, ECG or a combination of these two artifacts from the corrupted EEG signal and also signal enhancement both using recurrent learning technique. For this purpose, we have implemented the RTRL (Real Time Recurrent Learning) algorithm,
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Author:azharuddin |
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Description: 小波变换用于脑电信号处理，可以很好的对脑电信号进行时频分析-Wavelet transform for EEG signal processing, can be very good for time-frequency analysis of EEG Platform: |
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Author: |
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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. Platform: |
Size: 32768 |
Author:lvxin |
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Description: Matlab related EEG analysis based on : Wavelet Based Analysis of EEG Signal for Evaluating Mental Behavior Platform: |
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Author:Syed Tasnimul |
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Description: 脑电信号的完整处理过程，包括抽样，滤波，加窗，时域频域的图像分析等(EEG signal processing, including sampling, filtering, windowing, time domain frequency domain image analysis,and so on.It is very useful in EEG.) Platform: |
Size: 1024 |
Author:初学者i
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