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检索条件"机构=Lab. of Signal Processing and Computer Technology"

共 868 条记录，以下是361-370 订阅

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Multi-Cell Cooperative Scheduling for Uplink SC-FDMA Systems

Multi-Cell Cooperative Scheduling for Uplink SC-FDMA Systems

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications

作者： Jinping Niu Daewon Lee Tao Su Geoffrey Y. Li Zhihua Tang Yusun Fu National Lab of Radar Signal Processing Xidian University Xi'an Shaanxi China School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta Georgia USA Huawei Shanghai Research Institute Shanghai China

ISBN: (纸本)9781467362337

In LTE uplink systems, single-carrier frequency-division multiple access (SC-FDMA) has been employed. In SCFDMA, orthogonal frequency resources are assigned to different users to avoid intra-cell interference. However, inter-cell interference (ICI) caused by the users in neighboring cells significantly deteriorates the performance. Cooperation among base stations must be used to deal with ICI for multi-cell systems. In this paper, we investigate multi-cell scheduling in SC-FDMA for LTE uplink. We propose a novel cooperative scheduling algorithm that takes inter-cluster and intra-cluster interference into account. We first perform coordinated scheduling and then link adaptation to select modulation and coding scheme (MCS). Simulation results show that the proposed algorithm has significant gains over the single-cell proportional fair (PF) scheduling algorithm on both cell-edge and average throughput. It also outperforms the existing cooperative algorithm under full pathloss compensation and fractional open-loop power control (OLPC).

关键词： SC-FDMA ICI OLPC

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Distributed delay and sum beamformer in regular networks based on synchronous randomized gossip

Distributed delay and sum beamformer in regular networks bas...

引用

International Workshop on Acoustic signal Enhancement, IWAENC 2012

作者： Zeng, Yuan Hendriks, Richard C. Delft University of Technology The Netherlands Signal and Information Processing Lab. Netherlands

ISBN: (纸本)9783800734511

In this paper, we review and propose an improvement on an earlier proposed distributed delay and sum beamformer (DDSB). In the original DDSB, each pair of neighboring nodes updates their estimates asynchronously, which may yield a relatively slow convergence, especially when the size of network is large. When multiple pairs of neighboring nodes update simultaneously, the algorithm converges potentially faster. We propose an improved synchronous DDSB in a regular network based on synchronous randomized gossip. Moreover, we provide a comparison of the convergence rate of the asynchronous DDSB with the original and with the improved synchronous DDSB. The simulation results show the faster convergence results and show that the DDSB using the different updating schemes converges to the centralized beamformer. © 2012, Institute of Electrical and Electronics Engineers Inc. All rights reserved.

关键词： Sensor networks

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Distributed MVDR beamforming for (wireless) microphone networks using message passing

Distributed MVDR beamforming for (wireless) microphone netwo...

引用

International Workshop on Acoustic signal Enhancement, IWAENC 2012

作者： Heusdens, Richard Zhang, Guoqiang Hendriks, Richard C. Zeng, Yuan Kleijn, W. Bastiaan Signal and Information Processing Lab. Delft University of Technology Delft Netherlands

ISBN: (纸本)9783800734511

In this paper we present a distributed algorithm for MVDR beamforming which is based on message passing. The message-passing algorithm performs generalized linear-coordinate descent (GLiCD) operations to exchange messages between neighboring microphone nodes, which converges increasingly fast as the noise correlation matrix becomes more and more diagonal. The algorithm makes use of a trade-off parameter which controls the off-diagonal energy of the noise correlation matrix. For the case the noise correlation matrix is truly diagonal, the performance of the GLiCD algorithm is equivalent to that of the delay-and-sum beamformer (DSB). The algorithm does not require any constraint on the network topology, is fully scalab.e and can exploit sparse network geometries, thereby making it suitable for distributed signal processing in large scale networks. © 2012, Institute of Electrical and Electronics Engineers Inc. All rights reserved.

关键词： Beamforming

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AN UNCERTAINTY DECODING APPROACH TO NOISE- AND REVERBERATION-ROBUST SPEECH RECOGNITION

AN UNCERTAINTY DECODING APPROACH TO NOISE- AND REVERBERATION...

引用

IEEE International Conference on Acoustics, Speech, and signal processing

作者： Roland Maas Akshaya Thippur Armin Sehr Walter Kellermann Multimedia Communications and Signal Processing University of Erlangen-Nuremberg Erlangen Germany Computer Vision and Active Perception Lab School of Computer Science and Communication KTH Royal Institute of Technology Stockholm Sweden Beuth University of Applied Sciences Berlin Department VII Berlin Germany

ISBN: (纸本)9781479903573

The generic REMOS (Reverberation Modeling for robust Speech recognition) concept is extended in this contribution to cope with additional noise components. REMOS originally embeds an explicit reverberation model into a hidden Markov model (HMM) leading to a relaxed conditional independence assumption for the observed feature vectors. During recognition, a nonlinear optimization problem is to be solved in order to adapt the HMMs' output probability density functions to the current reverberation conditions. The extension for additional noise components necessitates a modified numerical solver for the nonlinear optimization problem. We propose an approximation scheme based on continuous piecewise linear regression. Connected-digit recognition experiments demonstrate the potential of REMOS in reverberant and noisy environments. They furthermore reveal that the benefit of an explicit reverberation model, overcoming the conditional independence assumption, increases with increasing signal-to-noise-ratios.

关键词： automatic speech recognition reverberation robustness noise robustness uncertainty decoding piecewise linear regression Speech recognition Hidden Markov models Noise robustness Linear Regression Reverberation DECODING Additive noise Conditional Independence Uncertainty

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Recognition impact of JPEG2000 Part 2 wavelet packet subband structures in polar iris image compression

Recognition impact of JPEG2000 Part 2 wavelet packet subband...

引用

2012 19th International Conference on Systems, signals and Image processing, IWSSIP 2012

作者： Hammerle-Uhl, Jutta Karnutsch, Michael Uhl, Andreas Multimedia Signal Processing and Security Lab. Department of Computer Sciences University of Salzburg Austria

ISBN: (纸本)9783200023284

The impact of using wavelet subband stuctures as allowed in JPEG2000 Part 2 in polar iris image compression is investigated. The recognition performance of two different feature extraction schemes applied to correspondingly compressed images is compared to the usage of the dyadic decomposition structure of JPEG2000 Part 1 in the compression stage. © 2012 Institute of Telecommunica.

关键词： Image compression

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A PLL based adaptive power line interference filtering from ECG signals

A PLL based adaptive power line interference filtering from ...

引用

16th CSI International Symposium on Artificial Intelligence and signal processing, AISP 2012

作者： Zeinali Zadeh, M.M. Niketeghad, S. Amirfattahi, R. Digital Signal Processing Research Lab. Department of Electrical and Computer Engineering Isfahan University of Technology 84156-83111 Iran

ISBN: (纸本)9781467314794

One of the challenges for electrocardiogram (ECG) signals extraction is additive power line interference (PLI) which contains 50Hz or 60Hz base frequency and several harmonics. Variety of fixed-frequency and adaptive notch filter structures are proposed for power line interference suppression. Because of frequency varying behavior of power line interference, fixed frequency filters suffer from the problem of low noise attenuation rate when the interference frequencies drift from their nominal values, and also signal amplitude and phase destruction around interference frequencies due to relatively high notching bandwidth. On the other hand adaptive filters are given high calculation costs. In this paper we propose a real-time, low calculation cost adaptive notch filter, using phase-locked loop (PLL). Experimental results show that in extremely noisy environments where input SNR is around 20dB, average SNR enhancement of proposed method is approximately 40dB. This value is also as good as 35dB for 10dB input SNR. © 2012 IEEE.

关键词： Phase locked loops

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Adaptive image compression using sparse dictionaries

Adaptive image compression using sparse dictionaries

引用

2012 19th International Conference on Systems, signals and Image processing, IWSSIP 2012

作者： Horev, Inbal Bryt, Ori Rubinstein, Ron Signal and Image Processing Lab. Department of Electrical Engineering Technion Haifa Israel Geometric Image Processing Lab. Department of Computer Science Technion Haifa Israel

ISBN: (纸本)9783200023284

Transform coding is a widely used image compression technique, where entropy reduction can be achieved by decomposing the image over a dictionary which provides compaction. Existing algorithms, such as JPEG and JPEG2000, utilize fixed dictionaries which are shared by the encoder and decoder. Recently, works utilizing content-specific dictionaries show promising results by focusing on specific classes of images and using highly specialized dictionaries. However, such approaches lose the ability to compress arbitrary images. In this paper we propose an input-adaptive compression approach, which encodes each input image over a dictionary specifically trained for it. The scheme is based on the sparse dictionary structure, whose compact representation allows relatively low-cost transmission of the dictionary along with the compressed data. In this way, the process achieves both adaptivity and generality. Our results show that although this method involves transmitting the dictionary, it remains competitive with the JPEG and JPEG2000 algorithms. © 2012 Institute of Telecommunica.

关键词： Image compression

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The dual channel sinewave model: Co-prime sparse sampling, parameter estimation, and the Cramér-Rao Bound

The dual channel sinewave model: Co-prime sparse sampling, p...

引用

作者： Negusse, Senay Händel, Peter Signal Processing Lab. ACCESS Linnaeus Center Royal Institute of Technology Stockholm Sweden

The seven-parameter sine fit algorithm for a dual channel signal model with common frequency has been considered in a prior work as an accurate procedure for parameter estimation. In this paper, we investigate an approach in the dual channel sine fit where the signals from both channels are uniformly subsampled with coprime pair of sparse samplers and present analysis of the frequency estimation problem from undersampled measurements thereby relaxing the demand on devices and instruments by lowering the required sampling frequency as well as bandwidth. The Cramér-Rao Bound based on the coprime subsampled data set is derived and numerical illustrations are given showing the relation between the cost in performance based on the mean squared error and the employed coprime factors for a given measurement time. © 2012 Elsevier Ltd. All rights reserved.

关键词： Compressed sensing

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Cross-pose facial expression recognition

Cross-pose facial expression recognition

引用

International Conference on Automatic Face and Gesture Recognition

作者： Fatma Güney Nuri Murat Arar Mika Fischer Hazim Kemal Ekenel Computer Engineering Department Bogazici University Istanbul Turkey Signal Processing Lab (LTS5) École Polytechnique Fédérale de Lausanne Lausanne Switzerland Institute for Anthropomatics Karlsruhe Institute of Technology Karlsruhe Germany Computer Engineering Department Istanbul Technical University Istanbul Turkey

ISBN: (纸本)9781467355452

In real world facial expression recognition (FER) applications, it is not practical for a user to enroll his/her facial expressions under different pose angles. Therefore, a desirable property of a FER system would be to allow the user to enroll his/her facial expressions under a single pose, for example frontal, and be able to recognize them under different pose angles. In this paper, we address this problem and present a method to recognize six prototypic facial expressions of an individual across different pose angles. We use Partial Least Squares to map the expressions from different poses into a common subspace, in which covariance between them is maximized. We show that PLS can be effectively used for facial expression recognition across poses by training on coupled expressions of the same identity from two different poses. This way of training lets the learned bases model the differences between expressions of different poses by excluding the effect of the identity. We have evaluated the proposed approach on the BU3DFE database and shown that it is possible to successfully recognize expressions of an individual from arbitrary viewpoints by only having his/her expressions from a single pose, for example frontal pose as the most practical case. Overall, we achieved an average recognition rate of 87.6% when using frontal images as gallery and 86.6% when considering all pose pairs.

关键词： Face recognition Face Mouth Vectors Feature extraction Databases Image recognition

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Iris-biometric fuzzy commitment schemes under signal degradation

Iris-biometric fuzzy commitment schemes under signal degrada...

引用

5th International Conference on Image and signal processing, ICISP 2012

作者： Rathgeb, C. Uhl, A. Multimedia Signal Processing and Security Lab. Department of Computer Sciences University of Salzburg Salzburg A-5020 Austria

ISBN: (纸本)9783642312533

Low intra-class variability at high inter-class variability is considered a fundamental premise of biometric template protection, i.e. it is believed that biometric traits need to be captured under favorable conditions in order to provide practical recognition rates. In this work the impact of blur and noise to fuzzy commitment schemes is investigated and is compared to the impact observed on the accuracy of the underlying recognition scheme. Iris textures are successively blurred and noised in order to measure the robustness of iris-biometric fuzzy commitment schemes. © 2012 Springer-Verlag.

关键词： Biometrics

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