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IEEE Signal Processing Letters

Issue 9 • Date Sept. 1998

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Displaying Results 1 - 6 of 6
  • Memory constrained wavelet based image coding

    Publication Year: 1998, Page(s):221 - 223
    Cited by:  Papers (16)  |  Patents (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (54 KB)

    We present a method for ordering the wavelet coefficient information in a compressed bitstream that allows an image to be sequentially decoded, with lower memory requirements than conventional wavelet decompression schemes. We also introduce a hybrid filtering scheme that uses different horizontal and vertical filters, each with different depths of wavelet decomposition. This reduces decoder memor... View full abstract»

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  • Algorithm for the instantaneous frequency estimation using time-frequency distributions with adaptive window width

    Publication Year: 1998, Page(s):224 - 227
    Cited by:  Papers (48)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (181 KB)

    A method for minimization of the mean square error (MSE) of the instantaneous frequency estimation using time-frequency distributions, in the case of a discrete optimization parameter, is presented. It does not require a knowledge of the estimation bias. The method is illustrated on adaptive window width determination in the Wigner distribution. View full abstract»

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  • Resampling and reconstruction with fractal interpolation functions

    Publication Year: 1998, Page(s):228 - 230
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (128 KB)

    An alternative form of the fractal interpolation function (FIF)-previously unmentioned in the signal processing literature-is noted. This form highlights a simple relationship between fractal and linear interpolation. Using this relationship, many FIF problems can be reduced to a matrix/vector expression. This expression provides a more powerful way to employ the FIF for interpolation and permits ... View full abstract»

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  • Semiblind estimation of spatio-temporal filter coefficients based on a training-like approach

    Publication Year: 1998, Page(s):231 - 233
    Cited by:  Papers (15)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (91 KB)

    A semiblind approach for equalization and jammers rejection at the base station in wireless communications is presented. It is based on the idea of enlarging the effective length of a known short training sequence by using a few additional information symbols and the finite alphabet property of the communication signals. Simulation results for spatio-temporal processing of 4-QPSK signals transmitt... View full abstract»

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  • An analytic solution to joint channel and carrier offset estimation in CDMA

    Publication Year: 1998, Page(s):234 - 236
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (96 KB)

    The problem of joint carrier offset and channel estimation in code division multiple access (CDMA) communications is studied. An analytic algorithm that provides closed-form channel and carrier offset estimates is proposed. The algorithm first converts the multiuser estimation problem into single-user problems, and then analytically solves the resulting nonlinear multivariate optimization problems... View full abstract»

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  • On the spectral properties of polynomial-phase signals

    Publication Year: 1998, Page(s):237 - 240
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (162 KB)

    Polynomial-phase signals (PPSs), i.e., signals parameterized as s(t)=A exp(j2/spl pi//spl Sigma//sub m=0//sup M/ a/sub m/t/sup m/), have been extensively studied and several algorithms have been proposed to estimate their parameters. From both the application and the theoretical points of view, it is particularly important to know the spectrum of this class of signals. Unfortunately, the spectrum ... View full abstract»

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Aims & Scope

The IEEE Signal Processing Letters is a monthly, archival publication designed to provide rapid dissemination of original, cutting-edge ideas and timely, significant contributions in signal, image, speech, language and audio processing.

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Meet Our Editors

Editor-in-Chief
Peter Willett
University of Connecticut
Storrs, CT 06269
peter.willett@uconn.edu