Results 221 to 230 of about 235,831 (265)

Transform Domain Motion Estimation

Bell System Technical Journal, 1979
This paper introduces an algorithm for estimating the displacement of moving objects in a television scene from spatial transform coefficients of successive frames. The algorithm works recursively in such a way that the displacement estimates are updated from coefficient to coefficient. A promising application of this algorithm is in motion-compensated
J. A. Stuller, A. N. Netravali
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Transform domain LMS algorithm

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1983
The concept of transform domain adaptive filtering is introduced. In certain applications, filtering in the transform domain results in great improvements in convergence rate over the conventional time-domain adaptive filtering. The relationship between several existing frequency domain adaptive filtering algorithms is established.
S. Narayan, A. Peterson, M. Narasimha
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Transform domain IIR filtering

IEEE Transactions on Signal Processing, 1995
The paper provides a generalization on the concept of the transform domain filtering (TDF). TDF is block-based filtering, or vector-filtering, applied to transform domain data to get the effect of desired time domain filtering. The result is transform domain IIR filtering (IIR-TDF) and it takes in the existing TDF, or FIR-TDF, as its special case.
null Daeyoung Kim, null Byeong Gi Lee
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Singularity-Exponent-Domain Image Feature Transform

IEEE Transactions on Image Processing, 2021
Combining the generalized fractal theory and the time-frequency distribution, the image feature decomposition in the singularity exponent domain is studied in this paper. With the theoretical derivation and quantitative analysis, the singularity-exponent-domain image feature transform (SIFT) method is proposed to analyze and process images from new ...
Gang Xiong, Fang Wang, Wenxian Yu, Trieu-Kien Truong   +3 more
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Fourier Transform in Bounded Domains

Meccanica, 1997
The author maintains that the concept of Schwartz distributions and their extension to ultra distributions of Gelfand and Shilov, enable one to find, by means of the Fourier transform, a second `language' to characterize physical behaviour. The author also maintains that almost any expression with physical meaning, can be transformed even if it is ...
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Gabor transform domain watermarking

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
The transform domain is the most commonly used space for watermarking applications. Most of the common frequency transforms have been used for this purpose. We investigate the use of the Gabor (1946) transform in traditional watermarking schemes. A casting method and detection results are thoroughly examined.
V. Fotopoulos, S. Krommydas, A.N. Skodras   +2 more
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Transform domain neural filters

ISCAS'99. Proceedings of the 1999 IEEE International Symposium on Circuits and Systems VLSI (Cat. No.99CH36349), 2003
A neural filter is effective for the system identification of a nonlinear system and the noise reduction in a nonlinear signal. However, the neural filter requires large number of iterations for convergence. This paper presents new structures of the multi-layered neural filter (Transform Domain Neural Filter; TDNF) where the orthonormal transform is ...
I. Nakanishi, Y. Itoh, Y. Fukui
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Time-domain cepstral transformations

IEEE Transactions on Signal Processing, 1993
The realization of homomorphic systems for convolution is addressed, motivated by the limitations of the Fourier-transform-based method commonly used in homomorphic (complex cepstral) filtering. The time-domain cepstral transformation (TDCT) method, which is entirely based on time-domain calculations, thus avoiding or minimizing the problems associated
Sokolov, Radomir T., Rogers, James C.
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Domains with algebraic X-ray transform

Analysis and Mathematical Physics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Low rank transform domain adaptive filtering

Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136), 2002
This paper introduces a least squares, matrix based framework for adaptive filtering that includes Normalized LMS, Affine Projection, and Recursive Least Squares as special cases. We then introduce other transform domain based methods and show how to create optimal low rank versions. We also discuss efficient implementation of our method.
Linebarger, Darel, Raghothaman, Balaji, Begušić, Dinko, Dowling, Eric, DeGroat, Ronald, Oh, Stephen   +5 more
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