منابع مشابه
Frequency Filtering or Wavelet Filtering?
Mel-frequency cepstral coefficients (MFCC) are the most widely used features in current speech recognition systems. However, they have a poor physical interpretation and they do not lie in the frequency domain. Frequency filtering (FF) is a technique that has been recently developed to design frequency-localized speech features that perform similar to MFCC in terms of recognition performances. ...
متن کاملWavelet transform-based Wiener filtering of event-related fMRI data.
The advent of event-related functional magnetic resonance imaging (fMRI) has resulted in many exciting studies that have exploited its unique capability. However, the utility of event-related fMRI is still limited by several technical difficulties. One significant limitation in event-related fMRI is the low signal-to-noise ratio (SNR). In this work, a method based on Wiener filtering in the wav...
متن کاملWavelet transform filtering of seismic data by semblance weighting
The presence of noise in a nonstationary signal (i.e., whose frequency content varies with time) complicates the extraction of meaningful information from the signal. The classical Fourier domain of such a signal can only separate the noise from the useful signal energy if they have different frequency content. For nonstationary signals the windowed Fourier transform has been introduced to loca...
متن کاملWavelet shrinkage versus Gaussian spatial filtering of functional MRI data
Objective The comparison between wavelet-based simultaneous multiscale denoising/hypothesis testing and single scale Gaussian spatial filtering followed by statistical testing of brain activation maps is carried out for a simple block-type visual paradigm EPI MRI experiment. Probabilistic wavelet shrinkage provides means to consistently combine multiresolution denoising and hypothesis testing i...
متن کاملA Wavelet Filtering Application for On-line Dynamic Data Reconciliation
Discrete wavelet transform (DWT) is known for its signal processing ability. In the recent researches, DWT is adopted for signal filtering before executing dynamic data reconciliation. While on-line dynamic data reconciliation is concerned, the computation is heavy duo to the filtering in every time instant. In this article, a shift property of the DWT is indicated and is applied to reduce the ...
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ژورنال
عنوان ژورنال: Nonlinear Processes in Geophysics
سال: 2000
ISSN: 1607-7946
DOI: 10.5194/npg-7-111-2000