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Speaker Diarization Based on Intensity Channel Contribution
"... Abstract—The time delay of arrival (TDOA) between multiple microphones has been used since 2006 as a source of information (localization) to complement the spectral features for speaker diarization. In this paper, we propose a new localization feature, the intensity channel contribution (ICC) based ..."
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Cited by 5 (3 self)
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Abstract—The time delay of arrival (TDOA) between multiple microphones has been used since 2006 as a source of information (localization) to complement the spectral features for speaker diarization. In this paper, we propose a new localization feature, the intensity channel contribution (ICC) based
On the Capacity of Free-Space Optical Intensity Channels
, 2009
"... New upper and lower bounds are presented on the capacity of the freespace optical intensity channel. This channel is characterized by inputs that are nonnegative (representing the transmitted optical intensity) and by outputs that are corrupted by additive white Gaussian noise (because in free space ..."
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Cited by 9 (3 self)
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New upper and lower bounds are presented on the capacity of the freespace optical intensity channel. This channel is characterized by inputs that are nonnegative (representing the transmitted optical intensity) and by outputs that are corrupted by additive white Gaussian noise (because in free
Two-dimensional binary halftoned optical intensity channels
- IET Commun
, 2008
"... This paper considers the capacity of two-dimensional optical intensity channels in which transmit images are constrained to be binary-level. Examples of such links exist in holographic storage, page-oriented memories, optical interconnects, two-dimensional barcodes, as well as MIMO wireless optical ..."
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Cited by 2 (2 self)
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This paper considers the capacity of two-dimensional optical intensity channels in which transmit images are constrained to be binary-level. Examples of such links exist in holographic storage, page-oriented memories, optical interconnects, two-dimensional barcodes, as well as MIMO wireless optical
Upper and lower bounds on the capacity of wireless optical intensity channels
- in Proc. IEEE Int. Symp. Information Theory (ISIT
, 2007
"... Abstract — This paper finds asymptotically exact upper and lower bounds on the channel capacity of power and band-limited optical intensity channels corrupted by white Gaussian noise. This work differs from the oft investigated case of the Poisson photon counting channel in that not only are rectang ..."
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Cited by 5 (0 self)
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Abstract — This paper finds asymptotically exact upper and lower bounds on the channel capacity of power and band-limited optical intensity channels corrupted by white Gaussian noise. This work differs from the oft investigated case of the Poisson photon counting channel in that not only
Capacity bounds for power- and band-limited optical intensity channels corrupted by Gaussian noise
- IEEE TRANS. INFORM. THEORY
, 2004
"... We determine upper and lower bounds on the channel capacity of power- and bandwidth-constrained optical intensity channels corrupted by white Gaussian noise. These bounds are shown to converge asymptotically at high optical signal-to-noise ratios (SNRs). Unlike previous investigations on low-intens ..."
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Cited by 14 (1 self)
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We determine upper and lower bounds on the channel capacity of power- and bandwidth-constrained optical intensity channels corrupted by white Gaussian noise. These bounds are shown to converge asymptotically at high optical signal-to-noise ratios (SNRs). Unlike previous investigations on low-intensity
ACCEPTED IN THE IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING, JULY-2010 1 Speaker Diarization Based On Intensity Channel Contribution
"... The time delay of arrival (TDOA) between multiple microphones has been used since 2006 as a source of information (localization) to complement the spectral features for speaker diarization. In this paper we propose a new localization feature, the intensity channel contribution (ICC) based on the rel ..."
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The time delay of arrival (TDOA) between multiple microphones has been used since 2006 as a source of information (localization) to complement the spectral features for speaker diarization. In this paper we propose a new localization feature, the intensity channel contribution (ICC) based
Dark Image Enhancement through Intensity Channel Division and Region Channels using Savitzky-Golay Filter
"... Abstract — Principal objective of image enhancement is to process an image so that result is more suitable than original image for specific application. Digital image enhancement techniques provide a multitude of choices for improving the visual quality of images. The existing contrast enhancement a ..."
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contrast based on Intensity Channel Division and Region Channels. We analyze the contrast of the image in the boundary and textured regions, and group the information with common characteristics. These groups model the relations within the image, from which we extract the transformation functions. We
Avrora: Scalable Sensor Network Simulation With Precise Timing
- IN PROC. OF THE 4TH INTL. CONF. ON INFORMATION PROCESSING IN SENSOR NETWORKS (IPSN
, 2005
"... Simulation can be an important step in the development of software for wireless sensor networks and has been the subject of intense research in the past decade. While most previous efforts in simulating wireless sensor networks have focused on protocol-level issues utilizing models of the software i ..."
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Cited by 270 (5 self)
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Simulation can be an important step in the development of software for wireless sensor networks and has been the subject of intense research in the past decade. While most previous efforts in simulating wireless sensor networks have focused on protocol-level issues utilizing models of the software
Coil sensitivity encoding for fast MRI. In:
- Proceedings of the ISMRM 6th Annual Meeting,
, 1998
"... New theoretical and practical concepts are presented for considerably enhancing the performance of magnetic resonance imaging (MRI) by means of arrays of multiple receiver coils. Sensitivity encoding (SENSE) is based on the fact that receiver sensitivity generally has an encoding effect complementa ..."
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Cited by 193 (3 self)
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indicates the transposed complex conjugate, and ⌿ is the n C ϫ n C receiver noise matrix (see Appendix A), which describes the levels and correlation of noise in the receiver channels. Using the unfolding matrix, signal separation is performed by where the resulting vector v has length n P and lists
Single image haze removal using dark channel prior
- In CVPR
, 2009
"... Abstract In this paper, we propose a simple but effective image prior- dark channel prior to remove haze from a single input image. The dark channel prior is a kind of statistics of the haze-free outdoor images. It is based on a key observation- most local patches in haze-free outdoor images contain ..."
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Cited by 130 (4 self)
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contain some pixels which have very low intensities in at least one color channel. Using this prior with the haze imaging model, we can directly estimate the thickness of the haze and recover a high quality haze-free image. Results on a variety of outdoor haze images demonstrate the power of the proposed
Results 1 - 10
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3,347