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Canadian Conference on electrical and computer engineering (CCECE)

作者： Q.S. Gu L.C.K. Lee M.N.S. Swamy Centre for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

Investigates the application of 2D IIR digital filters for deinterlacing of video signals. A special class of diamond filters is presented, which employs only two coefficients and has approximately zero-phase response. The implementation of this filter is very efficient and the stability is guaranteed even under finite arithmetic conditions. This filter is tested with a group of sequences. Very promising results are obtained.< >

关键词： Digital filters Interpolation Finite impulse response filter IIR filters TV HDTV signal resolution Motion detection Image resolution Transfer functions

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signal-DEPENDENT TIME-FREQUENCY ANALYSIS USING A RADIALLY GAUSSIAN KERNEL

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signal processing 1993年第3期32卷 263-284页

作者： BARANIUK, RG JONES, DL Laboratoire de Traitement du Signal Laboratoire de Physique Ecole Normal Supérieure de Lyon 46 allée d'Italie 69364 Lyon Cedex 07 France Department of Electrical and Computer Engineering Coordinated Science Laboratory University of Illinois 1308 W. Main Urbana IL 61801 USA

Time-frequency distributions are two-dimensional functions that indicate the time-varying frequency content of one-dimensional signals. Each bilinear time-frequency distribution corresponds to a kernel function that controls its cross-component suppression properties. Current distributions rely on fixed kernels, which limit the class of signals for which a given distribution performs well. In this paper, we propose a signal-dependent kernel that changes shape for each signal to offer improved time-frequency representation for a large class of signals. The kernel design procedure is based on quantitative optimization criteria and two-dimensional functions that are Gaussian along radial profiles. We develop an efficient scheme based on Newton's algorithm for finding the optimal kernel;the cost of computing the signal-dependent time-frequency distribution is close to that of fixed-kernel methods. Examples using both synthetic and real-world multi-component signals demonstrate the effectiveness of the signal-dependent approach - even in the presence of substantial additive noise. An attractive feature of this technique is the ease with which application-specific knowledge can be incorporated into the kernel design procedure.

关键词： TIME FREQUENCY ANALYSIS BILINEAR TIME FREQUENCY DISTRIBUTIONS TIME-VARYING SPECTRAL ANALYSIS WIGNER DISTRIBUTION

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Reduction of coding artifacts in transform image coding

Reduction of coding artifacts in transform image coding

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1993 IEEE International Conference on Acoustics, Speech, and signal processing

作者： R.L. Stevenson Laboratory for Image and Signal Processing Department of Electrical Engineering University of Notre Dame Notre Dame IN USA

The problem of image decompression is cast as an ill-posed inverse problem, and a stochastic regularization technique is used to form a well-posed reconstruction algorithm. A statistical model for the image which incorporates the convex Huber minimax function is proposed. The use of the Huber minimax function rho T(.) helps to maintain the discontinuities from the original image which produces high-resolution edge boundaries. Since rho T(.) is convex, the resulting multidimensional minimization problem is a constrained convex optimization problem. The maximum a posteriori (MAP) estimation technique that is proposed results in the constrained optimization of a convex functional. The proposed image decompression algorithm produces reconstructed images which greatly reduced the noticeable artifacts which exist using standard techniques.< >

关键词： Image coding Image reconstruction Degradation Image storage Image representation signal processing algorithms Laboratories signal processing Stochastic processes Constraint optimization

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A morphological polynomial transform

A morphological polynomial transform

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1993 IEEE International Conference on Acoustics, Speech, and signal processing

作者： H. Cha L.F. Chaparro Real Time Signal Processing Laboratory Department of Electrical Engineering University of Pittsburgh Pittsburgh PA USA

It is shown that, using grayscale morphology and a set of functions related to orthogonal polynomials-defined on a window-as structuring elements, a signal representation analogous to the polynomial transform can be developed. The geometric decomposition of a signal is achieved by windowing and using a morphological opening operation to approximate the windowed signal with each of the structuring elements. The resulting representation is made to resemble an orthogonal expansion by constraining the result of opening to be equal to the structuring function. Properties of the recursive decomposition algorithm make it possible to develop an algorithm for calculating a set of coefficients used in the reconstruction. The analysis and synthesis of one-dimensional signals are illustrated with an image data compression example.< >

关键词： Polynomials Morphology Gray-scale signal processing algorithms signal analysis signal synthesis signal processing signal representations Image analysis Data compression

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A VLSI architecture for the order recursive estimation of higher order statistics

A VLSI architecture for the order recursive estimation of hi...

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IEEE signal processing Workshop on Higher-Order Statistics

作者： H.M. Stellakis E.S. Manolakos Communication and Digital Signal Processing Center Department of Electrical and Computer Engineering Northeastern University Boston MA USA

To achieve real-time performance in estimating the higher order statistics directly from the incoming time-series data, it is necessary to (a) design faster algorithms by reducing any inherent computational redundancy, and (b) apply parallel processing and pipelining. The authors present a VLSI implementable parallel architecture that computes in order recursive fashion estimates of all the higher order moments and cumulants up to the fourth order, at one of their non-redundant domains of support. The system consists of a tri-array and a farm of processors producing the moment terms and fourth order cumulants respectively. They have applied a systematic array synthesis methodology that guarantees the optimality of both arrays, as well as the appropriate interface between them, so that intermediate data movement and delays are minimized while achieving maximum output throughput.< >

关键词： Very large scale integration Recursive estimation Higher order statistics Concurrent computing computer architecture Algorithm design and analysis High performance computing Parallel processing Pipeline processing Parallel architectures

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Application of QR decomposition-based least squares technique to improve air traffic control radar

Application of QR decomposition-based least squares techniqu...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： T. Ogunfunmi Nam Ling Signal and Image Processing Laboratory (SIPL) Department of Electrical Engineering Santa Clara University Santa Clara CA USA Computer Systems and Parallel Processing Research Laboratory (CSPPRL) Department of Computer Engineering Santa Clara University Santa Clara CA USA

For real-time radar processing, it is very desirable to have an algorithm that does not assume restricted statistics of the input data and can be implemented for high-speed processing (without a high cost) to meet real-time requirements. We therefore apply the QR decomposition-based least-squares method for linear prediction to the problem of computing the reflection coefficients of a lattice predictor, instead of using the conventional Burg algorithm. We also propose a modified one-dimensional ring architecture for implementing the QR method of least-squares. The particular application considered in this case is that of surveillance radar systems for air traffic control.< >

关键词： Least squares methods Air traffic control Radar applications signal processing algorithms Radar signal processing Statistics Systolic arrays Radar imaging signal processing Surveillance

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Time- and order-recursive estimation of higher order moments in a linear array

Time- and order-recursive estimation of higher order moments...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： H.M. Stellakis E.S. Manolakos Communications and Digital Signal Processing Center Department of Electrical and Computer Engineering Northeastern University Boston MA USA

To achieve real-time performance in signal processing applications that require the adaptive estimation of higher order statistics, it is necessary to (a) design new time-recursive algorithms and (b) introduce parallel processing and pipelining. Time-recursive estimation methods of the computation of the higher order moments from the incoming sampled data are presented. The fixed size sliding window estimation algorithm is mapped onto an optimal linear array. The array provides estimates of all the moments up to the fourth order in time- and order-recursive fashion, achieves minimum latency and is suitable for VLSI implementation. A systematic synthesis methodology facilitates the construction of the optimal locally recursive algorithm and the design of the architecture.< >

关键词： signal processing algorithms Algorithm design and analysis Adaptive signal processing Adaptive estimation Higher order statistics signal design Parallel processing Pipeline processing Delay Very large scale integration

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An architecture for the estimation of higher order cumulants

An architecture for the estimation of higher order cumulants

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International Conference on Acoustics, Speech, and signal processing (ICASSP)

作者： H.M. Stellakis E.S. Manolakos Communications and Digital Signal Processing Center Department of Electrical and Computer Engineering Northeastern University Boston MA USA

To achieve real-time performance in signal processing applications that require the estimation of higher order statistics, it is necessary to introduce parallel processing and pipelining. The authors present a two stage VLSI architecture for the computation of all the non-negative lags of the cumulants of a real, one-dimensional data sequence. All the non-negative lags of the moments, up to the fourth order, are computed first by a triangular array, based on the indirect block-type estimation approach (C. L. Nikias and M. R. Roghuveer, 1987). The second and fourth order moments are then used to compute the fourth order cumulants using additional processors. A systematic algorithm-to-architectures synthesis methodology facilitated the design of both parts of the architecture and their optimal space and data flow matching.< >

关键词： computer architecture signal processing Pipeline processing Parallel processing Very large scale integration signal processing algorithms Military computing Digital signal processing signal generators signal synthesis

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Design Recovery for Relay Ladder Logic

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IEEE Control Systems 1993年第2期13卷 90-98页

作者： Falcione, Albert Allen-Bradley Company Highland Heights OH 44143 747 Alpha Drive United States Laboratory for Automatic Systems and Information Processing Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA 15213 United States

An algorithm for converting relay ladder logic (RLL) programs for programmable logic controllers (PLCs) into sequential function chart (SFC) programs is introduced. Since an SFC (a standardization of Grafcet) better represents the sequential flow of control logic, it is considerably easier to understand and modify SFC programs. The practical motivation for this article is to provide a tool for converting existing RLL programs into SFC programs by recovering the underlying sequential control logic. This conversion of the program representation is referred to as design recovety. A basic design recovery algorithm is presented and applied to a simple RLL program for one stage of a batch chemical process. Several fundamental issues in discrete control logic representation and analysis are also identified as fertile areas for future research. © 1993 IEEE

关键词： Relays Logic design Programmable control Algorithm design and analysis Automatic control Logic programming Chemical processes Industrial control computer languages Process control

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Performance of a direct sequence code division multiple access cellular network

Performance of a direct sequence code division multiple acce...

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IEEE Southeastcon

作者： M.W. Twiggs D.B. Koch Communications Infod Signal Proc Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA Communications Information and Signal Processing (CISP) Group Department of Electrical and Computer Engineering University of Tennessee Knoxville TN USA

A DS/CDMA (direct-sequence code division multiple access) system using BPSK (binary phase shift keying) modulation is simulated to determine the bit error probabilities for various numbers of users with a processing gain close to that of a cellular network. The results are compared to results obtained using the Gaussian approximation equations. The results obtained are to the feasibility of a DS/CDMA cellular network. It is concluded that DS/CDMA cellular networks appear to offer higher subscriber capacities than existing analog or TDMA (time division multiple access) formats. In addition, DS/CDMA offers additional advantages such as inherent privacy through the use of spreading codes and the ability to combat problems such as multipath fading and narrowband noise.< >

关键词： Direct-sequence code-division multiple access Multiaccess communication Land mobile radio cellular systems Binary phase shift keying Time division multiple access Phase modulation Modulation coding Error probability Gaussian approximation Equations

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