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Edge property from end-points for scattering Hurwitz polynomials

AUTOMATICA 1996年第4期32卷 655-657页

作者： Bose, NK Spatial and Temporal Signal Processing Center Department of Electrical Engineering The Pennsylvania State University University Park PA 16802 U.S.A.

The counterparts of recent results on growth conditions and convex directions for univariate polynomials and quasipolynomials are obtained for multivariate polynomials with respect to the scattering Hurwitz property. The technical devices employed to develop the machineries leading to the main result are the bijective relationship between multivariate scattering Hurwitz polynomials and multivariate reactance functions and a certain representation of such functions.

关键词： robust stability multidimensional systems

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Active acoustic noise cancellation with audio signal enhancement based on an almost-symmetrical time-varying autoregressive-moving average model

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JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA 1996年第6期99卷 3528-3538页

作者： Tong, W Plotkin, EI Swamy, MNS Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University 1455 de Maisonneuve Boulevard West Montreal Quebec H3G 1M8 Canada

The basic idea of active noise cancellation (ANC)is to generate a controllable secondary source which compensates a noise in a certain spatial region. In headset applications, it is desirable to generate: a secondary source which cancels the acoustic noise field, while preserving the useful audio field. This requires that the cancellation algorithm possess an ability to differentiate between the useful audio signal and the cancellation residual at the secondary-sensor output. This is a formidable task for the conventional linear time-invariant filtering approach. since the Fourier spectra of acoustic noise and the audio signal occupy the same frequency bandwidth. In this paper, a two-sensor ANC scheme is presented with application to a noise-reduction headset. The active noise cancellation carried out is based on the concept of the separation of superimposed signals with complete overlapping spectra by using an almost-symmetrical time-varying autoregressive-moving average model (ASTV-ARMA), The significant advantages of our proposed selective noise cancellation approach are the cancellation of the undesirable noise field and the preservation of the useful audio wave field. Simulation results indicate that a noise reduction of over 30 dB can be achieved, thus resulting in a high-duality audio in the presence of a strong environmental acoustical noise. (C) 1996 Acoustical Society of America.

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IMPROVED METHOD FOR PARAMETER-ESTIMATION OF COMPLEX SINUSOIDS IN NOISE

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL signal processing 1995年第4期42卷 295-298页

作者： BOSE, NK Department of Electrical and Computer Engineering The Spatial & Temporal Signal Processing Center Pennsylvania State University University Park PA USA

Using, respectively, the theory of resultants/subresultants (inner determinants) and the one-to-one correspondence between reactance functions and Hurwitz polynomials, a set of necessary conditions and also another set of necessary and sufficient conditions, which involve nonlinear constraints on the polynomial coefficients, are obtained for all the roots of the polynomial to lie on the unit circle and be distinct from each other. The results have potentials for leading to improvements over previous methods for estimating parameters of sinusoids in noise where the constraints imposed provided only necessary conditions which were linear in the polynomial coefficients.

关键词： Parameter estimation Polynomials signal processing Circuit noise Circuit stability Stability criteria Additive noise Sufficient conditions Constraint theory State-space methods

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FAST EVALUATION OF AN INTEGRAL OCCURRING IN DIGITAL FILTERING APPLICATIONS

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IEEE TRANSACTIONS ON signal processing 1995年第8期43卷 1982-1986页

作者： CHUN, JT BOSE, NK Spatial and Temporal Signal Processing Center Department of Electrical Engineering Pennslyvania State University Park PA USA

In this correspondence, a fast evaluation procedure for the integral I-m,I- (n,) (p) = 1/2 pi j closed integral(\z\=1) H-m,H- n (z)H-m,H- n(z(-1))z(p-1)dz for arbitrary nonnegative integer-valued m, n, and p, is presented, where [GRAPHICS] is the transfer function of an arbitrary digital filter. Evaluation of this integral frequently appears in control, communication, and digital filtering. A notable result here is the one-term recursion on p for arbitrary but fixed nonnegative integers m and n. The computational complexity is analyzed, and two illustrative examples demonstrate some of the advantages of this approach.

关键词： Digital filters Filtering Transfer functions signal processing algorithms Integral equations Digital control Convergence Iterative algorithms Quantization Roundoff errors

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Single-Loop Robust Multidimensional Feedback Structures

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IFAC Proceedings Volumes 1995年第8期28卷 425-428页

作者： N.K. Bose The Pennsylvania State University Department of Electrical Engineering Spatial and Temporal Signal Processing Center University Park PA 16802 U.S.A.

This article focusses attention on the problems encountered in the robust design of multidimensional feedback control systems subject to the constraints of robust stability as well as robust performance. Vertex results, edge results, as well as a transform domain approach to the evaluation of H 2 performance measure over an uncertainty set are considered in relation to other developments in the last five years and some open problems are delineated.

关键词： Uncertain dynamic systems robust stability multidimensional systems

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Objective measurement of image impairments. Blocking, blurring, and spatial edge noise

Objective measurement of image impairments. Blocking, blurri...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： W.W. Bishtawi W.E. Lynch Center of Signal Processing and Communications Department of Electrical & Computer Engineering Concordia University Montreal QUE Canada

The impairment detection method (IDM) is proposed. It is an objective measurement technique of subjective image quality. Given the original and reproduced image as inputs, both images are divided into three areas: flat area, texture area, and sharp edge area. Features are extracted from each area using gradient vector block analysis. The IDM produces three output parameters that measure blocking distortion, blurring, and spatial edge noise.

关键词： Noise measurement Distortion measurement Image coding Image quality Humans Histograms Pixel signal processing Measurement techniques Mean square error methods

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Shape equalization of binary images using Fourier descriptor interpolation in low-level processing for image understanding

Shape equalization of binary images using Fourier descriptor...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： M. Macieszczak M.O. Ahmad Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

One of the most essential tasks in the image understanding systems is shape analysis of the binary images. The effectiveness of the shape analysis process requires an accurate description of the shape of the object and an appropriate structure of the input data. In this paper, a new method of the shape equalization is presented. The proposed approach increases the accuracy of the shape description without increasing the complexity of the input information. The method is based on the data interpolation using Fourier descriptors and takes advantage of the statistical properties of the objects found in image scenes. A 1-D filter is used for spatial filtering of the contours.

关键词： Shape Interpolation Layout Image sampling Frequency signal processing computer vision Image analysis Filters Filtering

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A novel subspace-based approach to parameter estimation

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Digital signal processing 1994年第1期4卷 40-48页

作者： Chun, Jongtae Bose, N.K. The Spatial and Temporal Signal Processing Center Electrical and Computer Engineering Department The Pennsylvania State University University Park PA 16802 United States

The known eigendecomposition-based subspace techniques for parameter estimation of multiple signals in additive white noise or the directions of arrivals of wavefronts at an array of sensors use either the information generated from the noise subspace or the signal subspace. Here, we directly use information from both the noise and signal subspaces to estimate the parameters. Comparisons with other subspace techniques are made and an illustrative example is provided. © 1994 Academic Press, Inc.

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Performance analysis of the TLS algorithm for image reconstruction from a sequence of undersampled noisy and blurred frames

Performance analysis of the TLS algorithm for image reconstr...

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The 1994 1st IEEE International Conference on Image processing

作者： Bose, N.K. Kim, H.C. Zhou, B. Department of Electrical Engineering Spatial and Temporal Signal Processing Center Pennsylvania State University University ParkPA16802 United States

A theoretical analysis is proposed to evaluate the robustness of the total least square (TLS) algorithm for image reconstruction from a sequence of undersampled noisy and blurred frames in the wavenumber domain. Since the data samples in the wavenumber domain are complex-valued, the results from the TLS theory developed for the case of real-valued data are adapted to the situation at hand. It is shown that the image quality can be improved as more frames become available. In the case of blurred frames, higher resolution images may be reconstructed using the TLS algorithm with post-deblurring. Finally, computer simulation results are provided to demonstrate the robustness of the TLS algorithm for image reconstruction. © 1994 IEEE.

关键词： Image reconstruction

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Performance analysis of the TLS algorithm for image reconstruction from a sequence of undersampled noisy and blurred frames

Performance analysis of the TLS algorithm for image reconstr...

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IEEE International Conference on Image processing

作者： N.K. Bose H.C. Kim B. Zhou Department of Electrical Engineering The Spatial and Temporal Signal Processing Center Pennsylvania State University University Park PA USA

关键词： Performance analysis Image reconstruction Robustness Image analysis Image sequence analysis Algorithm design and analysis Least squares methods Image quality Image resolution computer simulation

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