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IEEE Signal Processing Letters

Issue 2 • Date Feb. 1997

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Displaying Results 1 - 9 of 9
  • Vector quantization using the L/sub /spl infin// distortion measure

    Publication Year: 1997, Page(s):33 - 35
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (82 KB)

    This paper considers vector quantization of signals using the L/sub /spl infin// distortion measure. The key contribution is a result that allows one to characterize the centroid of a set of vectors for the L/sub /spl infin// distortion measure. A method similar to the Linde-Buzo-Gray (LBG) algorithm for designing codebooks has been developed and tested. The paper also discusses the design of vect... View full abstract»

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  • A modified model-based error diffusion

    Publication Year: 1997, Page(s):36 - 38
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (395 KB)

    This paper proposes a modified dot-overlap printer model used in error diffusion. It can reduce the distortion due to the dot-overlap effect introduced in laser printers. In the modified model-based error diffusion, multipass is not required and the bias in the gray scale of the printed images can be entirely eliminated. View full abstract»

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  • Low-order modeling of head-related transfer functions using balanced model truncation

    Publication Year: 1997, Page(s):39 - 41
    Cited by:  Papers (40)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (73 KB)

    We propose a novel technique for the design of low-order infinite impulse response (IIR) filter models of head-related transfer functions (HRTFs) that uses balanced model truncation. We design tenth-order IIR filters, suitable for efficient real-time implementation, from preprocessed HRTF impulse responses that are of significantly superior quality to current IIR models derived with the Prony and ... View full abstract»

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  • Adaptive short-time Fourier analysis

    Publication Year: 1997, Page(s):42 - 45
    Cited by:  Papers (18)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (69 KB)

    This article presents a method of adaptively adjusting the window length used in short-time Fourier analysis, related to our earlier work in which we developed a means of adaptively optimizing the performance of the cone kernel distribution (CKD). The optimal CKD cone length is, by definition, a measure of the interval over which the signal has constant or slowly changing frequency structure. The ... View full abstract»

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  • A robust mixed-norm adaptive filter algorithm

    Publication Year: 1997, Page(s):46 - 48
    Cited by:  Papers (78)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (99 KB)

    We propose a new member of the family of mixed-norm stochastic gradient adaptive filter algorithms for system identification applications based upon a convex function of the error norms that underlie the least mean square (LMS) and least absolute difference (LAD) algorithms. A scalar parameter controls the mixture and relates, approximately, to the probability that the instantaneous desired respon... View full abstract»

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  • Efficient estimation of closely spaced sinusoidal frequencies using subspace-based methods

    Publication Year: 1997, Page(s):49 - 51
    Cited by:  Papers (28)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (57 KB)

    Both experience and analysis show that the widely used subspace methods, such as MUSIC and ESPRIT, perform poorly when applied to estimate closely spaced sinusoidal frequencies. This severely limits the resolution of subspace methods for frequency estimation. In this letter, we present a simple interleaving technique that significantly improves the performance of subspace based methods in the case... View full abstract»

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  • A least-squares approach to joint diagonalization

    Publication Year: 1997, Page(s):52 - 53
    Cited by:  Papers (53)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (72 KB)

    We present a new least-squares-based approach for the joint diagonalization problem arising in blind beamforming. The resulting estimation criterion turns out to coincide with that proposed by Cardoso and Souloumaic (see IEE Proc. F, Radar Signal Process., vol.140, no.6, p.362-70, Dec. 1993) on intuitive grounds, thus establishing the optimality of their criterion in the least-squares (LS) sense. View full abstract»

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  • Improved DOA estimation via pseudorandom resampling of spatial spectrum

    Publication Year: 1997, Page(s):54 - 57
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (118 KB)

    A new pseudorandom spatial spectrum resampling scheme for improving the threshold performance of eigenstructure direction of arrival (DOA) estimators is proposed. Our approach is based on combining additional information arising when several underlying DOA estimators are available simultaneously, e.g., are calculated in parallel manner using given estimate of covariance matrix. Pseudorandomly gene... View full abstract»

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  • A fast sequential source separation algorithm for digital cochannel signals

    Publication Year: 1997, Page(s):58 - 61
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (125 KB)

    We propose a fast sequential-estimation algorithm for separating multiple cochannel digital signals using an antenna array with unknown array response. We present simulation results comparing speed and bit error rate (BER) performance with an existing fast joint-estimation algorithm, the iterative least squares with projection (ILSP) algorithm. The new algorithm proves to be faster with only a mod... View full abstract»

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