The diversity and multiplexing tradeoff (DMT) has been extensively applied in the literature to compare the high-SNR outage performance of relaying techniques and to propose new design guidelines. The problem with thi...
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The diversity and multiplexing tradeoff (DMT) has been extensively applied in the literature to compare the high-SNR outage performance of relaying techniques and to propose new design guidelines. The problem with this approach is that the DMT provides only a coarse measure of performance and, hence, it is more convenient to adopt the diversity, multiplexing, and array gain (DMA) framework, in which the error probability is characterized by two parameters: the diversity gain (associated with the SNR exponent) and the array gain (related to the SNR offset). In this paper, we derive the DMA tradeoff associated with the cut-set bound outage probability of the static half-duplex MIMO relay under uncorrelated/semicorrelated Rayleigh fading and uncorrelated Rician fading. This provides an upper bound to the DMA tradeoff achievable by any relaying scheme.
Following the seminal work of Zheng and Tse on the diversity and multiplexing tradeoff (DMT) of MIMO channels, in this paper we introduce the array gain to investigate the fundamental relation between transmission rat...
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Following the seminal work of Zheng and Tse on the diversity and multiplexing tradeoff (DMT) of MIMO channels, in this paper we introduce the array gain to investigate the fundamental relation between transmission rate and reliability in MIMO systems. The array gain gives information on the power offset that results from exploiting channel state information at the transmitter or as a consequence of the channel model. Hence, the diversity, multiplexing, and array gain (DMA) analysis can be directly translated into a parameterized characterization of its associated outage probability performance. In this paper we derive the fundamental DMA tradeoff achievable by any scheme in uncorrelated Rayleigh, semicorrelated Rayleigh, and uncorrelated Rician block-fading MIMO channels. We use these results to analyze the effect of important channel parameters in the outage performance at different points of the DMT curve.
Reliability and accuracy in personal identification system is a dominant concern to the security world. Biometric has gained much attention in this subject recently. Many types of personal identification systems have ...
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Reliability and accuracy in personal identification system is a dominant concern to the security world. Biometric has gained much attention in this subject recently. Many types of personal identification systems have been developed, and palmprint identification is one of the emerging technologies. This paper presents a novel biometric technique to automatic personal identification system using multispectral palmprint technology. In this method, each of spectrum images are aligned and then used to extract palmprint features using 1D log-Gabor filter. These features are then examined for their individual and combined performances. Finally, the hamming distance is used for matching of palmprint features. The experimental results showed that the proposed method achieve an excellent identification rate and provide more security.
In this paper the structure and properties investigations results of the cast magnesium alloys in the as cast state, after heat treatment and laser surface treatment are presented. The aim of this work was to improve ...
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In this paper the structure and properties investigations results of the cast magnesium alloys in the as cast state, after heat treatment and laser surface treatment are presented. The aim of this work was to improve the surface layer properties of the Mg-Al-Zn cast magnesium alloys by melting and feeding of TiC, VC, WC, SiC, NbC and Al2O3 particles onto the surface. Laser processing was carried out using high diode power laser (HDPL). A series of experiments was carried out with varying scan rates and laser power. The resulting surface layers were examined using metallographic optical microscopy, scanning electron microscopy, X-ray diffraction, microhardness measurements and corrosion resistance tests. Mg-Al-Zn alloys after laser treatment are characterized by two zones: alloyed zone (AZ) and heat affected zone (HAZ) with different thickness and shape depending on laser power and ceramic powder used. Alloyed zone is composed mostly of dendrites with the Mg17Al12 lamellar eutectic and Mg in the interdendritic areas. The increase of microhardness from about 50 HV0,1 to about 200 HV0,1 in alloyed zone were observed.
Current graphics processing units (GPUs) are massively parallel computing environments offering remarkable performance boosts in parallelizable tasks. Audio signal processing is a potential application area. Three dif...
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Current graphics processing units (GPUs) are massively parallel computing environments offering remarkable performance boosts in parallelizable tasks. Audio signal processing is a potential application area. Three different cases for GPU implementation are studied: additive synthesis, fast Fourier transforms (FFT), and time-domain convolution. For additive synthesis nearly two million sine waves were computable in real time on the GPU, giving a factor of 250-3000 performance gain over CPU implementation. Similarly, the GPU was able to perform an FFT eight times longer than the CPU version in the same time. For a stereo signal the GPU was able to compute a two-million-point FFT and inverse FFT in real time with an input buffer size of 1024 samples at a sampling rate of 48 kHz with 50% overlap. Finally the GPU could compute approximately 130 times longer FIR filters than the CPU in the same time. For stereo input and output, requiring four filters altogether, the GPU processing was able to implement FIR filters of length 376 000 taps in real time. The latency in all these tasks is tolerable, since the performance is nearly optimal with a hundred-sample buffer, which corresponds to a few milliseconds. In summary the results show that GPUs are highly useful for computationally intensive audio signal processing tasks.
In this paper, a new visual saliency detection method is proposed based on the spatially weighted dissimilarity. We measured the saliency by integrating three elements as follows: the dissimilarities between image pat...
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In this paper, a new visual saliency detection method is proposed based on the spatially weighted dissimilarity. We measured the saliency by integrating three elements as follows: the dissimilarities between image patches, which were evaluated in the reduced dimensional space, the spatial distance between image patches and the central bias. The dissimilarities were inversely weighted based on the corresponding spatial distance. A weighting mechanism, indicating a bias for human fixations to the center of the image, was employed. The principal component analysis (PCA) was the dimension reducing method used in our system. We extracted the principal components (PCs) by sampling the patches from the current image. Our method was compared with four saliency detection approaches using three image datasets. Experimental results show that our method outperforms current state-of-the-art methods on predicting human fixations.
作者:
Joonas PaalasmaaLasse LeppakorpiMarkku Partinen*** Ltd
Espoo Finland with Department of Computer Science University of Helsinki Helsinki Finland and with Department of Signal Processing Tampere University of Technology *** LtdHelsinki Sleep Clinic
Vitalmed Research Center Helsinki Finland and with Department of Clinical Neurosciences Helsinki University Central Hospital
Measuring the variation of the respiratory rate makes it possible to analyze the structure of sleep. The variation is high when awake or in REM sleep, and decreases in deep sleep. With sleep apnea, the respiratory var...
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ISBN:
(纸本)9781424441211
Measuring the variation of the respiratory rate makes it possible to analyze the structure of sleep. The variation is high when awake or in REM sleep, and decreases in deep sleep. With sleep apnea, the respiratory variation is disturbed. We present a novel method for extracting respiratory rate variation from indirect measurements of respiration. The method is particularly suitable for force sensor signals, because, in addition to the respiratory phenomenon, they typically contain also other disturbing features, which makes the accurate detection of the respiratory rate difficult. Respiratory variation is calculated by low-pass filtering a force sensor signal at different cut-off frequencies and, at every time instant, selecting one of them for the determination of respiration cycles. The method was validated with a single-night reference recording, which showed that the proposed method detects the respiratory variation accurately. Of the 3421 calculated respiration cycle lengths, 95.9% were closer than 0.5 seconds to the reference.
In this paper, we discuss the hybrid capacity region of a generic multicarrier multilayer broadcast and unicast cellular system with independent channel coding over subcarriers. In particular, we analytically derive t...
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In this paper, we discuss the hybrid capacity region of a generic multicarrier multilayer broadcast and unicast cellular system with independent channel coding over subcarriers. In particular, we analytically derive the capacity region and provide conditions to achieve its boundary. The simulation results show that the hybrid capacity regions are considerably higher than those of the traditional time division multiplexing scheme.
In this paper, a novel Sparsely Encoded Local Descriptor (SELD) is proposed for face recognition. Compared with K-means or Random-projection tree based previous methods, sparsity constraint is introduced in our dictio...
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In this paper, a novel Sparsely Encoded Local Descriptor (SELD) is proposed for face recognition. Compared with K-means or Random-projection tree based previous methods, sparsity constraint is introduced in our dictionary learning and sequent image encoding, which implies more stable and discriminative face representation. Sparse coding also leads to an image descriptor of summation of sparse coefficient vectors, which is quite different from existing code-words appearance frequency(/histogram)-based descriptors. Extensive experiments on both FERET and challenging LFW database show the effectiveness of the proposed SELD method. Especially on the LFW dataset, recognition accuracy comparable to the best known results is achieved.
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