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Signal Processing Letters, IEEE

Issue 12 • Date Dec. 2001

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Displaying Results 1 - 8 of 8
  • List of reviewers

    Page(s): 301 - 303
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    Freely Available from IEEE
  • Blind phase recovery in cross QAM communication systems with eighth-order statistics

    Page(s): 304 - 306
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    A new method for blind phase estimation that uses eight-order statistics is described. For cross QAM constellations, it provides about the same root mean square error (RMSE) as the fourth power method with about one-sixth to one-fourth the number of samples. Monte Carlo simulations are provided to demonstrate the usefulness of the method. View full abstract»

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  • Approximating lapped transforms through unitary postprocessing

    Page(s): 307 - 309
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    We deal with the approximation of a nonsquare lapped transform matrix by another matrix. This second matrix is constrained to be the product of two stages: one lapped transform and a unitary postprocessing step, in such a way that approximation is accomplished by modifying the postprocessing stage alone. Viewing both matrices as transforms, the goal is to minimize the variance of the output error (discrepancy) for given input signal statistics. An extension of the result to frequency responses of filter bank transfer matrices is also given along with an example to demonstrate the feasibility of the method. The example demonstrates the potential use of the method in modifying transforms which can be applied in audio compression. View full abstract»

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  • An efficient algorithm for continuous-discrete linear estimation problems

    Page(s): 310 - 312
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    A new solution is given to the continuous-discrete linear estimation problem of a signal process under the assumption that the autocorrelation function of the signal is known. This approach is based on approximate series expansions of a stochastic process and it is valid for the entire class of measurable, smooth signals defined on half-open intervals of the real line. It includes as particular cases all earlier solutions based on the approximate Karhunen-Loeve expansions. The main advantage of the solution obtained is that it can be derived through an efficient algorithm similar to the Kalman filter. View full abstract»

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  • Spectral design of weighted median filters admitting negative weights

    Page(s): 313 - 316
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    A closed-form spectral optimization method for the design of weighted median (WM) filters admitting negative weights is presented. The algorithm is a generalization of Mallows' (1980) theory for nonlinear smoothers that consists of first finding a set of positive weights for a WM filter whose sample selection probabilities are as close as possible to the coefficients of a corresponding finite impulse response (FIR) filter with the desired spectral response. The signs of the weights associated with general WM filtering structures are then coupled with the input samples prior to replication by the weight magnitudes. The spectral characteristics of these WM filters, designed under the proposed method, are shown to be very similar to those of the equivalent linear FIR filters and arbitrary spectral behavior can be achieved. Unlike their FIR filter counterparts, WM filters are robust to impulsive noise, as demonstrated by simulations. View full abstract»

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  • A new band-splitting method for two-band speech model

    Page(s): 317 - 320
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    A new band-splitting method for two-band speech model is proposed, whereby a score function based on the subband periodicity is calculated for each harmonic band and the band of maximum score is selected as the band-splitting frequency. Using the score function, a tracking technique is applied to the algorithm for the continuity of the band-splitting frequencies between neighboring frames. This method has proven to be robust to the inaccuracy of pitch estimation and the frequency resolution problem in low-pitched speech. View full abstract»

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  • Author Index

    Page(s): 321 - 323
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  • Subject Index

    Page(s): 323 - 331
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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