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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
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Discrete Wavelet Transform [PDF]
, 1998 In general, discrete wavelet transforms are generated by samplings (in the time-scale plane) of a rorn sponding continuous wavelet transform.
Ramazan Gençay +2 more
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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
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Image Compression Using 3-D Two-Level Technique
Journal of Engineering, 2023 In this paper three techniques for image compression are implemented. The proposed techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid ...
Zainab Ibraheem Abood
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On the Discrete Harmonic Wavelet Transform [PDF]
Mathematical Problems in Engineering, 2008 The discrete harmonic wavelet transform has been reviewed and applied towards given functions. The absolute error of reconstruction of the functions has been computed.
CATTANI, Carlo, KUDREYKO A.
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JUTI: Jurnal Ilmiah Teknologi Informasi, 2020 Personal identification can be done by using face, fingerprint, palm prints, eye’s retina, or voice recognition which commonly called as biometric methods. Face recognition is the most popular and widely used among those biometric methods. However, there
Afrizal Laksita Akbar +2 more
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Optimal decomposition level of discrete, stationary and dual tree complex wavelet transform for pixel based fusion of multi-focused images [PDF]
Serbian Journal of Electrical Engineering, 2010 The fast development of digital image processing leads to the growth of feature extraction of images which leads to the development of Image fusion. The process of combining two different images into a new single image by retaining salient features from ...
Kannan Kanagaraj +2 more
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Continuous and Discrete Wavelet Transforms [PDF]
SIAM Review, 1989 This paper is an expository survey of results on integral representations and discrete sum expansions of functions in $L^2 ({\bf R})$ in terms of coherent states. Two types of coherent states are considered: Weyl–Heisenberg coherent states, which arise from translations and modulations of a single function, and affine coherent states, called ’wavelets,’
Christopher Heil, David Francis Walnut
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Techno.Com, 2022 Denoising adalah cara dalam menghilangkan noise yang ada pada sinyal elektrodiagram, sehingga gelombang yang ada pada elektrodiagram dapat dianalisis dengan menggunakan mesin untuk mendapatkan prediksi penyakit jantung yang diderita.
Febriyanti Panjaitan, Rizki Amalia
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Accelerating discrete wavelet transforms on GPUS [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 The two-dimensional discrete wavelet transform has a huge number of applications in image-processing techniques. Until now, several papers compared the performance of such transform on graphics processing units (GPUs). However, all of them only dealt with lifting and convolution computation schemes.
David Barina +3 more
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