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IEEE Signal Processing Letters

Issue 10 • Date Oct. 2000

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Displaying Results 1 - 9 of 9
  • Direction finding in random inhomogeneous media in the presence of multiplicative noise

    Publication Year: 2000, Page(s):269 - 272
    Cited by:  Papers (21)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (80 KB)

    The performances of high resolution array processing methods are known to degrade in random inhomogeneous media. Such a degradation is caused by random amplitude and phase variations of source wavefronts. In this letter, the popular covariance matching approach to direction finding in the presence of multiplicative noise is extended to the multiple source case. Using a few unrestrictive physics-ba... View full abstract»

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  • A correction to impulse invariance

    Publication Year: 2000, Page(s):273 - 275
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (64 KB)

    The classic equations for discrete time filter design by impulse invariance are not correct, in general. In particular, if the impulse response of the causal continuous-time filter is discontinuous at t=0, then the initial sample h[0] of the discrete-time impulse response should equal one-half the value of the discontinuity, not the full value as classically given. Otherwise, the resulting frequen... View full abstract»

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  • Efficient recursive algorithm for the inverse discrete cosine transform

    Publication Year: 2000, Page(s):276 - 277
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (41 KB)

    Recursive algorithms have been found very effective for realization using software and very large scale integrated circuit (VLSI) techniques. Previously, some recursive algorithms have been proposed for the realization of the inverse discrete cosine transform (IDCT). In this paper, an efficient recursive algorithm for the IDCT with arbitrary length is presented. By using some appropriate iterative... View full abstract»

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  • Directional wavelet transform in the context of complex quadrature Doppler signals

    Publication Year: 2000, Page(s):278 - 280
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (78 KB)

    Most Doppler ultrasound systems employ quadrature demodulation techniques at the detection stage. The information concerning flow direction encoded in the phase relationship between in-phase and quadrature phase channels is not obvious at this stage. A method based on the utilization of complex wavelets and negative scales has been described. It eliminates the intermediate processing stages by map... View full abstract»

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  • Sorting continuous-time signals and the analog median filter

    Publication Year: 2000, Page(s):281 - 283
    Cited by:  Papers (9)  |  Patents (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (50 KB)

    Continuous time signals can be meaningfully "sorted," or rearranged, leading to precise formulations of analog median filters and other variants of ranked order filters. The proposed interpretation leads to a broader view of the analog median and related filters and provides a framework for discussing the correct definitions in spaces such as L/sub 1/ or L/sub 2/ and certain issues regarding conti... View full abstract»

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  • An RPCL-based approach for Markov model identification with unknown state number

    Publication Year: 2000, Page(s):284 - 287
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (89 KB)

    This paper presents an alternative identification approach for the Markov model studied in Krishnamurthy and Moore (1993). Our approach estimates the state sequence and model parameters with the help of a clustering analysis by the rival penalized competitive learning (RPCL) algorithm (Xa 1996). Compared to the method in Krishnamurthy and Moore, this new approach not only extends the model from sc... View full abstract»

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  • An efficient algorithm for sample rate conversion from CD to DAT

    Publication Year: 2000, Page(s):288 - 290
    Cited by:  Papers (37)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (55 KB)

    This letter unveils an efficient algorithm for sampling rate conversion (SRC) technique from 44.1 kHz compact disc (CD) to 48 kHz digital audio tape (DAT). This method involves upsampling the input signal by two, and then passing the interpolated signal through a fractional delay filter that employs a simple decimation. This method can also be used for SRC from DAT to CD without changing the filte... View full abstract»

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  • A note on properties of BIBO stable linear discrete-space systems

    Publication Year: 2000, Page(s):291 - 292
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (45 KB)

    Continuous linear shift-invariant operators that take bounded inputs into bounded outputs, with inputs and outputs real (or complex)-valued and defined on Z/sup m/ need not be convolutions. We show that all such operators have the property that they take S/sub 0/ into S/sub 0/ and also l/sub p/ into l/sub p/ for all real p/spl ges/1, where S/sub 0/ is the set of functions x that satisfies a certai... View full abstract»

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  • Frames of cross ambiguity functions

    Publication Year: 2000, Page(s):293 - 296
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (116 KB)

    Frames of two-dimensional (2-D) signals arising from frames of signals in one dimension are proposed. Such 2-D frames are obtained by computing the cross ambiguity function between frame elements in one dimension and elements of the corresponding reciprocal frame. 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