• Title/Summary/Keyword: WAVELETS

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SPECTRAL RADIUS OF BIORTHOGONAL WAVELETS WITH ITS APPLICATION

  • Zou, Qingyun;Wang, Guoqiu;Yang, Mengyun
    • Journal of the Korean Mathematical Society
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    • v.51 no.5
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    • pp.941-953
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    • 2014
  • In this paper, a 2-circular matrix theory is developed, and a concept of spectral radius for biorthogonal wavelet is introduced. We propose a novel design method by minimizing the spectral radius and obtain a wavelet which has better performance than the famous 9-7 wavelet in terms of image compression coding.

On Solutions of Representots In Reproducing Kernel Space W$^2_2$(R)

  • Yoon, Sun-Ho;Lee, Jung-Gon;Lee, Dong--Myung
    • Journal for History of Mathematics
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    • v.12 no.1
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    • pp.65-72
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    • 1999
  • In this article, we give a historical referencing overview and compressed illuminating procedure of deriving the repersentors R$_y$(x) in Reproducing Kernel space W$^2_2$(R), being needed to find the solutions of integral equations, which construct the wavelets in L$^2$(1R).

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POINTWISE CONVERGENCE OF WAVELET EXPANSION OF $K^r_M^r(R)$

  • Sohn, Byung-Keun;Park, Dae-Hyeon
    • Bulletin of the Korean Mathematical Society
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    • v.38 no.1
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    • pp.81-91
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    • 2001
  • The expansion of a distribution of $K^r_M^r(R)$ in terms of regular orthogonal wavelets is considered. The expansion of a distribution of $K^r_M^r(R)$ is shown to converge pointwise to the value of the distribution where is exists.

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HYBRID SAMPLING SERIES ASSOCIATED WITH ORTHOGONAL WAVELETS AND GIBBS PHENOMENON

  • Shim, Hong-Tae;Gilbert G. Walter
    • Journal of applied mathematics & informatics
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    • v.12 no.1_2
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    • pp.199-209
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    • 2003
  • When a sampling theorem holds in wavelet subspaces, sampling expansions can be a good approximation to projection expansions. Even when the sampling theorem does not hold, the scaling function series with the usual coefficients replaced by sampled function values may also be a good approximation to the projection. We refer to such series as hybrid sampling series. For this series, we shall investigate the local convergence and analyze Gibbs phenomenon.

Channel Equalization for QAM Signal Constellation Using Wavelet Transform and Neural Network

  • Lee, Seok-Won;Nam, Boo-Hee
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.147-147
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    • 2000
  • Recently, a considerable amount of attention is being given to the use of wavelets and neural network for modulation and equalization. We proposed a new scheme of equalization for constellation using discrete wavelet transform(DWT) and neural network. The DWT is used for noise reduction and the neural network is used to update the equalizer coefficients adaptively.

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Applications of Haar Wavelet Based Multiresolution Time-Domain Method to Microwave Structures (Haar 웨이블릿 다중분해능 시간영역 해석법을 이용한 마이크로파 소자 해석)

  • 주세훈;김형훈;김형동
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.10 no.6
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    • pp.935-950
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    • 1999
  • A multiresolution time-domain analysis scheme is derived for the analysis of microwave structures by using Haar wavelets to discretize the Maxwell's curl equation. This technique requires less computational effort than the conventional FDTD method because larger space grid can be used in the simulations. To validate this scheme, several 2-D·3-D microwave structures are simulated and the results are compared with those of the conventional FDTD scheme.

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Adaptive HLMS-GSC Algorithm in Time Domain Based on Wavelets (웨이브렛에 의한 시간영역에서의 적응 HLMS-GSC 알고리듬)

  • 이정연;황석윤;홍춘표;임중수
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.385-388
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    • 2002
  • This paper proposes a new GSC (Generalized Sidelobe Canceller) structure, called HLMS-GSC. Compared to Griffiths and Jim's GSC structure, the number of complex multiplication required is reduced to one half. The simulation results show that the minimum mean square errors and performance of nulling jammers by using HLMS-GSC are almost the same compared to Griffiths and Jim's GSC, although the complexity is reduced significantly. As a result, the proposed adaptive beamformer is good for real time implementation, since it has low complexity compared to previous GSC structures.

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Adaptive HFLMS-GSC Algorithm in Frequency Domain Based on Wavelets (웨이브렛에 의한 주파수영역에서의 적응 HFLMS-GSC 알고리듬)

  • 이정연;황석윤;홍춘표;임중수
    • Proceedings of the IEEK Conference
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    • 2002.06d
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    • pp.389-392
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    • 2002
  • This paper propose a new GSC (Generalized Sidelobe Canceller) structure, called HFLMS-GSC. The number of complex multiplication required is reduced to one half compared to FLMS-GSC. The simulation results show that mean square error converging and jamming signal removing characteristics are almost the same compared to FLMS-GSC, although the complexity is reduced significantly. As a result, the proposed structure is good for real time implementation, since it has low complexity compared to previous GSC structures.

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ON THE GIBBS PHENOMENON FOR THE SHANNON SAMPLING SERIES IN WAVELET SUBSPACES AND A WAY TO GO AROUND

  • Shim, Hong-Tae
    • Communications of the Korean Mathematical Society
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    • v.13 no.1
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    • pp.181-193
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    • 1998
  • The Shannon sampling series is the prototype of an interpolating series or sampling series. Also the Shannon wavelet is one of the protypes of wavelets. But the coefficients of the Shannon sampling series are different function values at the point of discontinuity, we analyze the Gibbs phenomenon for the Shannon sampling series. We also find a way to go around this overshoot effect.

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