Results 1 to 10 of about 212,758 (255)
DISCRETE WAVELET TRANSFORMS [PDF]
Journal of Computational and Graphical Statistics, 2002 Abstract The theory of wavelets has recently undergone a period of rapid development. We introduce a software package called wavethresh that works within the statistical language S to perform one- and two-dimensional discrete wavelet transforms. The transforms and their inverses can be computed using any particular wavelet selected from a range of ...
Ramazan Gençay +2 more
+12 more sources
EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques. [PDF]
Sensors (Basel), 2020 Analysis of electroencephalogram (EEG) signals is essential because it is an efficient method to diagnose neurological brain disorders. In this work, a single system is developed to diagnose one or two neurological diseases at the same time (two-class ...
Alturki FA +3 more
europepmc +2 more sources
The Improvement of the Discrete Wavelet Transform
Mathematics, 2023 Discrete wavelet transforms are widely used in signal processing, data compression and spectral analysis. For discrete data with finite sizes, one always pads the data with zeros or extends the data into periodic data before performing the discrete ...
Zhihua Zhang
doaj +2 more sources
A high-performance seizure detection algorithm based on Discrete Wavelet Transform (DWT) and EEG. [PDF]
PLoS One, 2017 In the past decade, Discrete Wavelet Transform (DWT), a powerful time-frequency tool, has been widely used in computer-aided signal analysis of epileptic electroencephalography (EEG), such as the detection of seizures. One of the important hurdles in the
Chen D, Wan S, Xiang J, Bao FS.
europepmc +2 more sources
Coding Implementation By Using Discrete Wavelet Transform [PDF]
Engineering and Technology Journal, 2010 Image processing can be considered as an essential part of wide rangecomputer applications. This application deals with image coding and it discussesimage coding schemes, by using transforms to code the image or not.
Matheel Emad AL-Deen AL-Dargazli +1 more
doaj +2 more sources
On the energy leakage of discrete wavelet transform [PDF]
Mechanical Systems and Signal Processing, 2008 The energy leakage is an inherent deficiency of discrete wavelet transform (DWT) which is often ignored by researchers and practitioners. In this paper, a systematic investigation into the energy leakage is reported. The DWT is briefly introduced first, and then the energy leakage phenomenon is described using a numerical example as an illustration and
Zhike Peng +4 more
openalex +4 more sources
DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 Hazy images are often subject to color distortion, blurring, and other visible quality degradation. Some existing CNN-based methods have great performance on removing homogeneous haze, but they are not robust in non-homogeneous case.
M. Fu +4 more
semanticscholar +1 more source
Pearson Correlation and Discrete Wavelet Transform for Crack Identification in Steel Beams
Mathematics, 2022 Discrete wavelet transform is the useful means for crack identification of beam structures. However, its accuracy is severely dependent on the selecting mother wavelet and vanishing moments, which raises a significant challenge in practical structural ...
Morteza Saadatmorad +4 more
semanticscholar +1 more source
The continuous generalized wavelet transform associated with q-Bessel operator
Boletim da Sociedade Paranaense de Matemática, 2022 The continuous generalized wavelet transform associated with -Bessel operator is defined, which will invariably be called continuous -Bessel wavelet transform .
M. M. Dixit +2 more
doaj +1 more source
Lightweight Denoising Autoencoder Design for Noise Removal in Electrocardiography
IEEE Access, 2022 This study proposes two denoising autoencoder models with discrete cosine transform and discrete wavelet transform, to remove electrode motion artifacts in noisy electrocardiography. Initially, the discrete cosine transform and discrete wavelet transform
Ming-Hwa Sheu +5 more
doaj +1 more source