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Equalizer and detector performance in digital VCRs

Equalizer and detector performance in digital VCRs

引用

IEEE International Conference on Communications (ICC)

作者： Younggyun Kim Jaekyun Moon Soon Tae Kim Yong Deok Jang Sun Tae Lee Department of Electrical Engineering University of Minnesota Minneapolis MN USA Signal Processing Laboratory Samsung Electronics Corporation Limited Suwon South Korea

Various equalization and detection techniques are considered for the digital video cassette recorder (DVCR) application. Bit error rate (BER) performances are evaluated based on computer simulation. The equalization/detection schemes considered are class IV partial response equalisation followed by Viterbi algorithm detection (PR4/VA), extended class IV combined with VA detection (EPR4/VA), decision feedback equalization (DFE) and fixed-delay tree search with decision feedback (FDTS/DF). For all cases, the rate 24/25 modulation DC-controlled channel code is used. The BER simulations are performed at different channel SNR values and in the presence of off-track, head-tape space variations and sampling phase error. The results show that the FDTS/DF with a search depth of 3 has significant performance advantage and improved robustness over other schemes under various channel conditions.

关键词： Detectors Video recording Decision feedback equalizers Bit error rate Application software Performance evaluation computer simulation Viterbi algorithm Modulation coding Sampling methods

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Data-adaptive algorithms for signal detection in impulsive noise modeled as a subGaussian, alpha-stable process

Data-adaptive algorithms for signal detection in impulsive n...

引用

IEEE Workshop on Statistical signal and Array processing

作者： G.A. Tsihrintzis C.L. Nikias Communication Systems Laboratory Department of Electrical Engineering University of Virginia Charlottesville VA USA Signal and Image Processing Institute Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA

We address the problem of coherent detection of a signal embedded in heavy-tailed noise modeled as a subGaussian, alpha-stable process. We assume that the signal is a complex-valued vector of length L, known only within a multiplicative constant. The dependence structure of the noise, i.e., the underlying matrix of the sub Gaussian process, is not known. The intent is to implement a generalized likelihood ratio detector which employs robust estimates of the unknown noise underlying matrix and the unknown signal strength. The performance of the proposed adaptive detector is compared to that of an adaptive matched filter that uses Gaussian estimates of the noise underlying matrix and the signal strength and is found to be clearly superior. The proposed new algorithms an evaluated via Monte-Carlo simulation.

关键词： signal detection Interference signal processing signal processing algorithms Detectors Gaussian noise signal design Probability distribution Image processing Noise robustness

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Efficient polynomial transformation algorithms for multidimensional systems formulated in {s,z,/spl gamma/} variables

Efficient polynomial transformation algorithms for multidime...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： H.C. Reddy I-Hung Khoo G.S. Moschytz A.R. Stubberud Department of Electrical and Computer Engineering University of California Irvine CA USA Department of Electrical Engineering California State University Long Beach CA USA Institute of Signal and Information Processing ETH Zurich Zurich Switzerland

Discrete-time systems using /spl delta/-operator instead of shift operator are being studied vigorously in view of the many numerical advantages they provide. In the design of discrete-time filters, polynomial transformations from continuous-time systems play an important role. This paper would present efficient tabular algorithms to perform polynomial transformation between continuous-time {s-variable}, /spl delta/-DT {/spl gamma/-variable} and q-DT {z-variable} systems. Both 1-D and 2-D cases are considered.

关键词： Polynomials Multidimensional systems signal processing Information processing USA Councils Filters Discrete transforms Stability analysis Algorithm design and analysis

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A system for vehicle classification from range imagery

A system for vehicle classification from range imagery

引用

Southeastern Symposium on System Theory

作者： Shiquan Peng C.A. Harlow Department of Electrical and Computer Engineering and Remote Sensing and Image Processing Laboratory Louisiana State University Baton Rouge LA USA

ISBN: (纸本)0818673524

In this project we consider automated vehicle location and classification systems. Current systems which utilize loop detectors or video cameras have deficiencies. Video based systems are sensitive to environmental conditions and do not perform well in vehicle classification. The new generation of range or distance sensors that are being developed offer the promise of sensors which are not sensitive to lighting conditions and provide information which should give better vehicle detection and classification percentages than current systems. The focus of this project is to develop an automated vehicle location and classification system based upon imagery obtained from range sensors. Image analysis operators and classification methods are developed for vehicle classification. Preliminary results indicate that accurate vehicle classification can be obtained.

关键词： Vehicle detection Radar detection Sensor systems Costs Infrared detectors Laser radar Image processing Road transportation Machine vision Surveillance

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Closed loop heart beat interval modelization in humans using mean blood pressure, instantaneous lung volume and muscle sympathetic nerve activity

Closed loop heart beat interval modelization in humans using...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： P. Celka R. Vetter U. Scherrer E. Pruvot Department of Electrical Engineering Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland Department of Internal Medicine and Division of Cardiology University Hospital Lausanne Switzerland

Considering a closed loop model of the cardiovascular system, the authors develop accurate multi-input linear and nonlinear approaches for estimation of the heart beat interval time series using mean arterial blood pressure (MABP), instantaneous lung volume (ILV) and muscle sympathetic nerve activity (MSNA). The nonlinear model proved to be more adequate compared to the linear one, with respiration being the most nonlinear component of the system.

关键词： Heart beat Humans Blood pressure Lungs Muscles Low pass filters Cardiology Cardiovascular system Arterial blood pressure Transfer functions

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Scheduling VBR traffic for achievable QoS in a shared un-buffered environment

Scheduling VBR traffic for achievable QoS in a shared un-buf...

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International Conference on Universal Personal Communications

作者： J.M. Capone L. Stavralalcis Communications and Digital Signal Processing (CDSP) Center Department of Electrical and Computer Engineering Northeastern University Boston MA USA Northeastern University Boston MA US

A system of T resources (wireless channels) shared by a number of un-buffered applications is considered. The shared transmission resources are defined to be the slots (packet transmission times) of a TDMA frame (service cycle). Packets which are not allocated a channel within the current service cycle are dropped. The quality of service (QoS) vector is equivalently described in terms of (diverse) packet dropping probabilities (p/sub i/), or (diverse) packet dropping rates (d/sub i/). From a precisely defined region of achievable QoS vectors, easy to implement scheduling policies that deliver the achievable QoS vectors are derived. As an example, a policy that delivers a target QoS vector is derived; its performance is verified through simulations.

关键词： Quality of service Bit rate Resource management Wireless LAN Monitoring Processor scheduling signal processing Application software Operating systems Delay effects

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Interference mitigation in orthogonal frequency division multiplexing (OFDM)

Interference mitigation in orthogonal frequency division mul...

引用

International Conference on Universal Personal Communications

作者： R.W. Lowdermilk F.J. Harris Communications and Signal Processing Laboratory Department of Electrical and Computer Engineering San Diego State University San Diego CA USA Advanced Development Operations Lockheed Martin Corporation San Diego CA USA

Orthogonal frequency division multiplexing (OFDM) is a modulation scheme purported to be insensitive to the multipath effects of a mobile communication channel as well as exhibiting immunity to narrow-band interference via hole punching in the OFDM spectrum. We examine and verify the OFDM bit error rate sensitivity to low level interference and introduce and demonstrate a spectrum spreading technique to reduce the effect of the narrow-band interferer.

关键词： Interference OFDM modulation Pulse modulation Pulse shaping methods Frequency domain analysis signal processing Narrowband Bit error rate Demodulation Fast Fourier transforms

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Study of various symmetries in the frequency response of two-dimensional delta operator formulated discrete-time systems

Study of various symmetries in the frequency response of two...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： H.C. Reddy P.K. Rajan G.S. Moschytz A.R. Stubberud Department of Electrical and Computer Engineering University of California Irvine CA USA Department of Electrical Engineering California State University Long Beach CA USA Tennessee Technological University Cookeville TN USA Institute for Signal and Information Processing Zurich Switzerland

This paper deals with the definitions and the testing for the presence of various symmetries in the magnitude response of two-dimensional (2-D) delta operator formulated discrete-time systems. The symmetry constraints defined provide a unification with the analog 2-D case. With the sampling period=0, the results correspond to the conditions on analog polynomial magnitude symmetry.

关键词： Frequency response Filters Discrete time systems Two dimensional displays Polynomials Sampling methods signal processing Information processing System testing Discrete transforms

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Path planning the processing of titanium matrix composites

Path planning the processing of titanium matrix composites

引用

IEEE Conference on Control Technology and Applications (CCTA)

作者： R. Vancheeswaran D.G. Meyer H.N.G. Wadley Intelligent Processing of Materials Laboratory Materials Science and Engineering University of Virginia Charlottesville VA USA Electrical and Computer Engineering Department University of Colorado Boulder CO USA

The high temperature consolidation of fiber reinforced titanium matrix composites (TMCs) seeks to reduce the concentration of matrix pores (i.e. increase relative density) while simultaneously minimizing fiber microbending/fracture and the growth of reaction product layers at the fiber-matrix interface. These three goals have conflicting dependencies upon the consolidation processes variables (temperature and pressure), and "trial and error" has had difficulty in identifying optimal process pathways that lead to composites with the least fiber damage, reaction layer thickness and matrix porosity. Here, model predictive control (MPC) concepts have been combined with dynamic consolidation models to investigate the design of locally optimal process cycles that minimize fiber damage, reaction product layer thickness and pore concentration. The approach is used to path plan the input process schedules for a Ti-6Al-4V/SCS-6 TMC system. We then show how useful process windows (i.e. an approximation to the domain of the reachable goals) can be computed by varying the goal and repeating the path planning procedure.

关键词： Path planning Titanium Thermal spraying Hip Plasma temperature Fatigue Plasma materials processing Composite materials Creep Pressing

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Hierarchical neural network for multiresolution image analysis

Hierarchical neural network for multiresolution image analys...

引用

IEEE International Conference on Image processing

作者： M.S. Pereira E.S. Manolakos Communications and Digital Signal Processing (CDSP) Center for Research and Graduate Studies Department of Electrical and Computer Engineering Northeastern University Boston MA USA Northeastern University Boston MA US

We propose an architecture for multiresolution classification based on a wavelet decomposition and a hierarchical neural network. Each layer of the neural network is a "frequency expert" associated with a single frequency channel. Higher layers in the hierarchy integrate the information provided by the layers below, leading to a network where different "experts" cooperate to explain the input data. We illustrate the performance of this architecture on edge detection, a problem which is well known to be best addressed in a multiresolution framework.

关键词： Neural networks Image resolution Image analysis Image edge detection Frequency signal resolution Image motion analysis Image texture analysis signal processing algorithms Pixel

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