We propose a new joint multiple matrix diagonalization algorithm for robust blind beamforming. This new algorithm Is based on the iterative elgen-decomposition of cumulant matrices. Therefore It can avoid the stabilit...
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Phase noise may be regarded as the most severe cause of performance degradation in OFDM systems. Hot-carriers (HCs), found in the CMOS synchronization circuits, are highmobility charge carriers that degrade the MOSFET...
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We propose a new joint multiple matrix diagonalization algorithm for robust blind beamforming. This new algorithm is based on the iterative eigen-decomposition of cumulant matrices. Therefore it can avoid the stabilit...
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Channel state information (CSI) is crucial at the MAC layer for wireless mobile networks. Therefore, fast channel estimation is in demand for high scalability communication networks. Least-square channel estimation te...
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This paper describes a platform-independent system which adds spatial auditory feedback to the icons of a computer interface in order to assist visually impaired individuals during icon location and selection. In this...
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ISBN:
(纸本)9806560531
This paper describes a platform-independent system which adds spatial auditory feedback to the icons of a computer interface in order to assist visually impaired individuals during icon location and selection. In this enhanced system, icons have 3D sound properties, in addition to their graphical properties. Each icon has a specific sound associated with it. As the cursor is moved throughout the interface, the user is able to hear, spatially, in which direction and at what distance each icon is located, with respect to the cursor.
In this paper three image quality metrics are compared: mean-square error (MSB), noise quality measure (NQM), and structural information metric (SIM). Such a comparison is made in order to evaluate the performance of ...
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Principal components analysis (PCA) has been widely used in many applications, particularly, data compression. Independent component analysis (ICA) has been also developed for blind source separation along with many o...
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Principal components analysis (PCA) has been widely used in many applications, particularly, data compression. Independent component analysis (ICA) has been also developed for blind source separation along with many other applications such as channel equalization, speech processing. Recently, it has been shown that the ICA can be also used for hyperspectral data compression. This paper investigates these two transforms in hyperspectral data compression and further evaluates their strengths and weaknesses in applications of target detection, mixed pixel classification and abundance quantification. In order to take advantage of the strengths of both transform, a new transform, called mixed PCA/ICA transform is developed in this paper. The idea of the proposed mixed PCA/ICA transform is derived from the fact that it can integrate different levels of information captured by the PCA and ICA. In doing so, it combines m principal components (PCs) resulting from the PCA and n independent components (ICs) generated by the ICA to form a new set of (m+n) mixed components used for hyperspectral data compression. The resulting transform is referred to as mixed (m,n)-PCA/ICA transform. In order to determine the total number of components, p needed to be generated for the mixed (m,m)-PCA/ICA transform, a recently developed virtual dimensionality (VD) is introduced to estimate the p where p = m + n. If m = p and n = 0, then mixed (m,n)-PCA/ICA transform is reduced to PCA transform. On the other hand, if m = 0 and n = p, then mixed (m,n)-PCA/ICA transform is reduced to ICA. Since various combinations of m and n have different impacts on the performance of the mixed PCA/ICA spectral/spatial compression in applications, experiments based on subpixel detection and mixed pixel quantification are conducted for performance evaluation.
In this paper, we propose a scheme intended for low bit-rate motion-compensated interpolation to improve the quality of low bit-rate video encoded in conjunction with the frame dropping technique. We develop a two-mod...
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In this paper, the cyclostationarity of over-sampled signal in orthogonal frequency division multiplexing (OFDM) communication systems is studied. A blind symbol timing and carrier frequency offset estimation algorith...
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The acoustics of Patras' Odeion, a well-preserved open-air ancient Roman theatre, have been investigated via computer model simulation and a novel set of acoustic measurements. These tests were aiming at verifying...
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ISBN:
(纸本)9638241683
The acoustics of Patras' Odeion, a well-preserved open-air ancient Roman theatre, have been investigated via computer model simulation and a novel set of acoustic measurements. These tests were aiming at verifying the accuracy of the modelling procedure, optimising its parameters, and investigating the various means for describing the 3-D sound field for acoustic analysis and auralization. The detailed computer simulation of the theatre and acoustic measurements were made for 5 identical listener / receiver positions, respectively. The measurements consisted of single-channel impulse responses, 8- channel microphone array responses and 2-channel binaural responses. From the analysis of the singlechannel response measurements and the simulation results, comparisons are drawn related to various acoustic parameters (RASTI, D-50, C-80, etc). The microphone array responses were processed to generate detailed spatial results for the theatre's sound field. Finally, the binaural response measurements were employed for comparisons via psychoacoustical tests, between computer simulation-generated auralizations and binaural audio signals.
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