Non-parametric linear time-invariant system identification by discrete wavelet transforms [PDF]
, 2006 We describe the use of the discrete wavelet transform (DWT) for non-parametric linear time-invariant system identification. Identification is achieved by using a test excitation to the system under test (SUT) that also acts as the analyzing function for ...
Luk, RWP +3 more
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Quality assessment by region in spot images fused by means dual-tree complex wavelet transform [PDF]
, 2011 This work is motivated in providing and evaluating a fusion algorithm of remotely sensed images, i.e. the fusion of a high spatial resolution panchromatic image with a multi-spectral image (also known as pansharpening) using the dual-tree complex wavelet
Arquero Hidalgo, Águeda +2 more
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Jurnal Riset Informatika, 2019 Research on stock prices is still interesting for researchers. As in this study, ANTM's stock price closing data is used as a data set that is processed to be then predicted in the future. The Neural Network method is a method that is very widely used by
Indah Suryani
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Cutting tool tracking and recognition based on infrared and visual imaging systems using principal component analysis (PCA) and discrete wavelet transform (DWT) combined with neural networks [PDF]
, 2015 The implementation of computerised condition monitoring systems for the detection cutting tools’ correct installation and fault diagnosis is of a high importance in modern manufacturing industries. The primary function of a condition monitoring system is
Al-Habaibeh, A, Lotfi, A, Elgargni, M
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Image Enhancement Based on Wavelet Transform and Contrast Limited Adaptive Histogram Equalization
Journal of Harbin University of Science and Technology, 2018 Contrast limited adaptive histogram equalization (CLAHE) is an efficient algorithm to improve the local details of an image In this paper, we propose an image enhancement method named CLAHE Discrete Wavelet Transform to solve the problem of contrast and
YU Tian-he +3 more
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Parallel Implementation of Wavelet-based Image Denoising on Programmable PC-grade Graphics Hardware [PDF]
, 2010 The Discrete Wavelet Transform (DWT) has been extensively used for image compression and denoising in the areas of image processing and computer vision. However, the intensive computation of DWT due to its multilevel data decomposition and reconstruction
Xu, Zhijie, Su, Yang
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Non-decimated Wavelet Transform for a Shift-invariant Analysis
Trends in Computational and Applied Mathematics, 2018 Due to the ability of time-frequency location, the wavelet transform has been applied in several areas of research involving signal analysis and processing, often replacing the conventional Fourier transform.
Gabriela de Oliveira Nascimento Brassarote +2 more
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Comparative analysis of chosen transforms in the context of de-noising harmonic signals [PDF]
Biuletyn Wojskowej Akademii Technicznej, 2015 In the article, comparison of popular transforms used i.a. in denoising harmonical signals was presented. The division of signals submitted to mathematical analysis was shown and chosen transforms such as Short Time Fourier Transform, Wigner-Ville ...
Artur Zacniewski
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Multiscale texture classification using dual-tree complex wavelet transform [PDF]
, 2009 This paper presents a multiscale texture classifier that exploits the Gabor-like properties of the dual-tree complex wavelet transform, shift invariance and six directional subbands at each scale, and uses a feature vector comprising of a variance and an
Tjahjadi, Tardi, Çelik, Turgay
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COMPARISON COMPRESSION PROPERTIES DWT WITH FB 5/3 AND FB 9/7 [PDF]
Acta Electrotechnica et Informatica, 2019 The suitability of 2-dimensional Discrete Wavelet Transform (2D DWT) as a tool in image and video compression is nowadays indisputable. Wavelet based techniques such as JPEG2000 for image compression has a lot more to offer than conventional methods in
Ondrej KOVÁČ +3 more
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