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arXiv 2017年

作者： Edirisuriya, A. Madanayake, A. Cintra, R.J. Dimitrov, V.S. Rajapaksha, N.T. Departament of Electrical and Computing Engineering University of Akron AkronOH United States Signal Processing Group Departamento de Estatística Universidade Federal de Pernambuco PE50740-540 Brazil Department of Electrical and Computer Engineering University of Calgary CalgaryABT2M 4S7 Canada

An area efficient row-parallel architecture is proposed for the real-time implementation of bivariate algebraic integer (AI) encoded 2-D discrete cosine transform (DCT) for image and video processing. The proposed architecture computes 8×8 2-D DCT transform based on the Arai DCT algorithm. An improved fast algorithm for AI based 1-D DCT computation is proposed along with a single channel 2-D DCT architecture. The design improves on the 4-channel AI DCT architecture that was published recently by reducing the number of integer channels to one and the number of 8-point 1-D DCT cores from 5 down to 2. The architecture offers exact computation of 8×8 blocks of the 2-D DCT coefficients up to the FRS, which converts the coefficients from the AI representation to fixed-point format using the method of expansion factors. Prototype circuits corresponding to FRS blocks based on two expansion factors are realized, tested, and verified on FPGA-chip, using a Xilinx Virtex-6 XC6VLX240T device. Post place-and-route results show a 20% reduction in terms of area compared to the 2-D DCT architecture requiring five 1-D AI cores. The area-time and area-time2 complexity metrics are also reduced by 23% and 22% respectively for designs with 8-bit input word length. The digital realizations are simulated up to place and route for ASICs using 45 nm CMOS standard cells. The maximum estimated clock rate is 951 MHz for the CMOS realizations indicating 7.608·109 pixels/seconds and a 8×8 block rate of 118.875 MHz. Copyright © 2017, The Authors. All rights reserved.

关键词： Discrete cosine transforms

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A robust null-steering beamformer for acoustic feedback cancellation for a multi-microphone earpiece

A robust null-steering beamformer for acoustic feedback canc...

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12. ITG-Fachtagung Sprachkommunikation - 12th ITG Conference on Speech Communication

作者： Schepker, Henning Tran, Linh T.T. Nordholm, Sven Doclo, Simon Signal Processing Group Department of Medical Physics and Acoustics Cluster of Excellence Hearing4All University of Oldenburg Oldenburg26111 Germany Department of Electrical and Computer Engineering Curtin University BentleyWA Australia

ISBN: (纸本)9783800742752

To reduce acoustic feedback in hearing aids, adaptive filters are commonly used to estimate the feedback contribution in the microphone(s). While theoretically allowing for perfect feedback cancellation, in practice the solution is typically biased due to the closed-loop acoustical system. For an earpiece with multiple integrated microphones and loudspeakers, we propose to use a fixed beamformer to cancel the acoustic feedback. By steering a spatial null in the direction of the hearing aid loudspeaker we show that theoretically perfect feedback cancellation can be achieved. To increase the robustness, the null-steering beamformer is computed based on multiple measured acoustic feedback paths. Experimental results using an earpiece with two microphones in the vent and a third microphone in the concha show that the proposed robust null-steering beamformer substantially and robustly increases the added stable gain while maintaining a high perceptual quality. © 2016 VDE VERLAG GMBH.

关键词： Microphones

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Development of Prototypical Portable Radio Communication Range Extender System Using Simplex Repeater Technique

Development of Prototypical Portable Radio Communication Ran...

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Asian Conference on Defence Technology

作者： Watchara Amasiri Quantum based Engineering and Signal Processing Research Group Department of Electrical and Computer Engineering Faculty of Engineering Thammasat University

ISBN: (纸本)9781509022595

Creating a system to extend the range for two-way land mobile radio communication (for emergency, business, private, and military purposes) is a priority, especially if it is easy to install, rapidly deployed, and lightweight. Military services widely use a simplex repeater technique to retransmit signals with a design based on VHF range, compatible with existing communication systems. The prototype implemented contains a repeater unit, power supply, and antenna capable of extending communication range as designed. Actual communication and radio wave propagation simulation are compared.

关键词： Simplex repeater Radio communications Range extender VHF

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GENERALIZED COPRIME SAMPLING OF TOEPLITZ MATRICES

GENERALIZED COPRIME SAMPLING OF TOEPLITZ MATRICES

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IEEE International Conference on Acoustics, Speech and signal processing

作者： Si Qin Yimin D. Zhang Moeness G. Amin Abdelhak Zoubir Center for Advanced Communications Villanova University Villanova PA 19085 USA Department of Electrical and Computer Engineering Temple University Philadelphia PA 19122 USA Signal Processing Group Technische Universit?t Darmstadt Darmstadt Germany

ISBN: (纸本)9781479999897

Increased demand on spectrum sensing over a broad frequency band requires a high sampling rate and thus leads to a prohibitive volume of data samples. In some applications, e.g., spectrum estimation, only the second-order statistics are required. In this case, we may use a reduced data sampling rate by exploiting a low-dimensional representation of the original high-dimensional signals. In particular, the covariance matrix can be reconstructed from compressed data by utilizing its specific structure, e.g., the Toeplitz property. In this paper, we propose a general coprime sampling concept that implements effective compression of Toeplitz covariance matrices. Given a fixed number of data samples, we examine different schemes on covariance matrix acquisition, based on segmented data sequences. The effectiveness of the proposed technique is verified using simulation results.

关键词： Compressive covariance sampling structured matrix coprime sampling overlapping segmented data Structured matrices Data sampling Covariance matrix variance covariance matrix Frequency bands Toeplitz matrices Data compression Spectrum Analysis dies matrices Toeplitz

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MediaEval 2015 Drone Protect Task: Privacy protection in surveillance systems using false coloring

MediaEval 2015 Drone Protect Task: Privacy protection in sur...

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multimedia Benchmark Workshop, MediaEval 2015

作者： Çiftçi, Serdar Korshunov, Pavel Akyüz, Ahmet Oǧuz Ebrahimi, Touradj Department of Computer Engineering Middle East Technical University Ankara Turkey Multimedia Signal Processing Group Ecole Polytechnique Fedéralé de Lausanne Switzerland Idiap Research Institute Switzerland

This paper describes privacy protection method based on a false coloring approach for Drone Protect Task of MediaEval 2015. The aim is to obscure regions of a video that are privacy sensitive without sacrificing intelligibility and pleasantness. False coloring transforms the original colors of pixels using a color palette into a different set of colors in which private information is harder to recognize. The method can be applied globally to an entire frame of the video or to a specific region of interest (ROI). The privacy protected output is expected to remain pleasant, and when needed, a close approximation of the original input can be recovered. Benchmarking evaluations on the mini-drone dataset show promising results, especially, for intelligibility and pleasantness criteria.

关键词： Drones

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Recognition of voiced speech from the bispectrum 8

Recognition of voiced speech from the bispectrum

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8th European signal processing Conference, EUSIPCO 1996

作者： Delopoulos, Anastasios Rangoussi, Maria Andersen, Janne Division of Computer Science Department of Electrical Engineering National Technical University of Athens AthensGR-15780 Greece Digital Signal Processing Group Institute for Electronic Systems Aalborg University AalborgDK-9220 Denmark

Recognition of voiced speech phonemes is addressed in this paper using features extracted from the bispectrum of the speech signal. Voiced speech is modeled as a superposition of coupled harmonics, located at frequencies that are multiples of the pitch and modulated by the vocal tract. For this type of signal, nonzero bispectral values are shown to be guaranteed by the estimation pro-cedure employed. The vocal tract frequency response is reconstructed from the bispectrum on a set of frequency points that are multiples of the pitch. An AR model is next fitted on this transfer function. The AR coefficients are used as the feature vector for the subsequent classification step. Any finite dimension vector classifier can be employed at this point. Experiments using the LVQ neural classifier give satisfactory classification scores on real speech data, extracted from the DARPA/TIMIT speech corpus. © 2015 European signal processing Conference, EUSIPCO. All rights reserved.

关键词： Frequency response

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Control configuration selection for integrating processes using graphs

Control configuration selection for integrating processes us...

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IEEE Conference on Control Technology and Applications (CCTA)

作者： Miguel Castaño Arranz Wolfgang Birk Petter Asplund Department of Computer science Electrical and Space Engineering Luleå University of Technology Luleå Sweden Signal Processing Group Control Engineering Group Optimation AB Luleå Sweden

Recently, methods for Control Configuration Selection (CCS) using weighted graphs have been introduced. These methods were integrated in a software tool which allows systematic CCS in industry processes by choosing a simplified model with a reduced structure on which control will be based. This paper addresses the extension of these graph-based methods to be applied to integrating systems, which often appear in industry processes, e.g. at storage vessels. The extension is based on restricting the analysis to a set of frequencies of interest which omits the infinite DC-gain. The results are validated and illustrated using a real-life case, namely the secondary heating system of a pulp & paper mill.

关键词： Field effect transistors Heating Process control Actuators Valves Systematics

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A modified region growing based algorithm to vessel segmentation in magnetic resonance angiography

A modified region growing based algorithm to vessel segmenta...

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IEEE Long Island Systems, Applications and Technology Conference (LISAT)

作者： Muder M. Almi'ani Buket D. Barkana Department of Computer Information Systems Al-Hussein Bin Talal University Signal Processing Research Group Laboratory University of Bridgeport Bridgeport CT USA Department of Electrical Engineering Signal Processing Research Group Laboratory University of Bridgeport Bridgeport CT USA

The progress of medical imaging instrumentation has stirred the development of new computer-aided methods of image processing and analysis for better understanding and interpretation of medical images for differential diagnosis, intervention, and treatment monitoring. Image processing and analysis methods have been used to help physicians to make important medical decisions through physician-computer interaction. A modified region growing algorithm is proposed to extract cerebral vessels using a magnetic resonance angiography (MRA) database. To improve the performance of the image segmentation method, as a pre-processing step, image enhancement methods are applied by the gamma correction technique and spatial operations. This step improves the detection of gray-level discontinuities in MRA images. The traditional region growing method is modified by extending the neighborhood as 24 pixels and by defining a filling protocol to label vascular structure. The performance of the proposed algorithm is compared with that of the traditional region growing method and four other segmentation methods. Our proposed method outperformed the other methods. The minimum and maximum errors of the modified region growing method is calculated as zero and 0.82, respectively while the traditional region growing method has 1.85 and 21.91.

关键词： Image segmentation Blood vessels Angiography Filling Magnetic resonance Protocols

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Sum-Rate and Power Scaling of Massive MIMO Systems with Channel Aging

Sum-Rate and Power Scaling of Massive MIMO Systems with Chan...

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作者： Kong, Chuili Zhong, Caijun Papazafeiropoulos, Anastasios K. Matthaiou, Michail Zhang, Zhaoyang Institute of Information and Communication Engineering Zhejiang University Hangzhou310027 China National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Department of Communications and Signal Processing Group Imperial College London London United Kingdom School of Electronics Electrical Engineering and Computer Science Queen's University Belfast Belfast United Kingdom

This paper investigates the achievable sum-rate of massive multiple-input multiple-output (MIMO) systems in the presence of channel aging. For the uplink, by assuming that the base station (BS) deploys maximum ratio combining (MRC) or zero-forcing (ZF) receivers, we present tight closed-form lower bounds on the achievable sum-rate for both receivers with aged channel state information (CSI). In addition, the benefit of implementing channel prediction methods on the sum-rate is examined, and closed-form sum-rate lower bounds are derived. Moreover, the impact of channel aging and channel prediction on the power scaling law is characterized. Extension to the downlink scenario and multicell scenario is also considered. It is found that, for a system with/without channel prediction, the transmit power of each user can be scaled down at most by 1/√M (where M is the number of BS antennas), which indicates that aged CSI does not degrade the power scaling law, and channel prediction does not enhance the power scaling law;instead, these phenomena affect the achievable sum-rate by degrading or enhancing the effective signal to interference and noise ratio, respectively. © 2015 IEEE.

关键词： Channel state information

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Foreword

Proceedings of the 2016 International Conference on Image Pr...

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Proceedings of the 2016 International Conference on Image processing, computer Vision, and Pattern Recognition, IPCV 2016 2016年

作者： Abd-Wahab, Mohd Helmy Al-Bakry, Abbas Al-Holou, Nizar Arabnia, Hamid R. Bhattacharya, Mahua Martinez Castillo, Juan Jose Daimi, Kevin Deligiannidis, Leonidas Djoudi, Lamia Atma Duong, Trung Eshaghian-Wilner, Mary Mehrnoosh Gravvanis, George A. Huang, Ruizhu Jandieri, George Kim, Byung-Gyu Kim, Tai-hoon Korovin, Iakov Lai, Guoming Lee, Hyo Jong Bin Mansor, Muhammad Naufal Marsh, Andrew Mostafaeipour, Ali Park, James J. Patil, Shashikant Ponalagusamy, R. Schaefer, Gerald Singh, Akash Solo, Ashu M.G. Swee, Sim Kok Thomas, Jaya Tinetti, Fernando G. Vladimir, Hahanov Wang, Shiuh-Jeng Yang, Mary Yoe, Hyun You, Jane Zhao, Wenbing Department of Computer Engineering University Tun Hussein Onn Malaysia Malaysia University of IT and Communications Baghdad Iraq Electrical and Computer Engineering Department IEEE/SEM-Computer Chapter University of Detroit Mercy DetroitMI United States University of Georgia United States ABV Indian Institute of Information Technology and Management MHRD Government of India India Acantelys Alan Turing Nikola Tesla Research Group and GIPEB Universidad Nacional Abierta Venezuela Computer Science and Software Engineering Programs Department of Mathematics Computer Science and Software Engineering University of Detroit Mercy DetroitMI United States Department of Computer Information Systems Wentworth Institute of Technology BostonMA United States Synchrone Technologies France Rutgers University State University of New Jersey New Jersey United States University of Southern California California United States Electrical Engineering University of California Los Angeles Los Angeles [UCLA CA United States Advanced Scientific Computing Applied Math and Applications Research Group Applied Mathematics and Numerical Computing and Department of ECE School of Engineering Democritus University of Thrace Xanthi Greece Texas Advanced Computing Center University of Texas AustinTX United States Georgian Technical University Tbilisi Georgia Institute of Cybernetics Georgian Academy of Science Georgia Multimedia Processing CommunicationsLab.[MPCL Department of Computer Science and Engineering College of Engineering SunMoon University Korea Republic of School of Information and Computing Science University of Tasmania Australia Southern Federal University Russia Computer Science and Technology Sun Yat-Sen University Guangzhou China Center for Advanced Image and Information Technology Division of Computer Science and Engineering Chonbuk National University Korea Republic of Faculty of Engineering Technology Kampus Uniciti Alam Universiti Malaysia Perlis UniMAP Malaysi

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