Wyner-Ziv video coding presents a new paradigm which offers low-complexity video encoding. However, the Wyner-Ziv paradigm accumulates high complexity at the decoder side and this could involve difficulties for applic...
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Wyner-Ziv video coding presents a new paradigm which offers low-complexity video encoding. However, the Wyner-Ziv paradigm accumulates high complexity at the decoder side and this could involve difficulties for applications which have delay requisites. On the other hand, technological advances provide us with new hardware which supports parallel data processing. In this paper, a faster Wyner-Ziv video decoding scheme based on multicore processors is proposed. In this way, each frame is decoded by means of the collaboration between several processing units, achieving a time reduction up to 71% without significant rate-distortion drop penalty.
In this paper, we consider speaker identification for the co-channel scenario in which speech mixture from speakers is recorded by one microphone only. The goal is to identify both of the speakers from their mixed sig...
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In this paper, it is applied a method for parameter estimation of ship linear maneuvering models with a standard zig-zag maneuver. The parameter estimation is made based on prediction error methods, using the Kalman f...
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In this paper, it is applied a method for parameter estimation of ship linear maneuvering models with a standard zig-zag maneuver. The parameter estimation is made based on prediction error methods, using the Kalman filter for the states estimation. It is suggested two cases of study: one in simulation and another one with data acquired in open waters. Thus, it is posible to quantify the statistical properties of the estimator by means of Monte Carlo simulation and to validate the model with simulated and acquired data.
As one of the most important enabling technologies of cloud computing, virtualization brings to HPC good manageability, online system maintenance, performance isolation and fault isolation. Furthermore, previous study...
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This paper describes a novel approach to improve monoaural speaker identification where two speakers are present in a single-microphone recording. The goal is to identify both of the underlying speakers in the given m...
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The muscle is moved by muscle fiber contraction receiving command from the brain. But, energy that moves muscle is not infinity. If muscle get into energy shortage, no matter how send command from the brain, muscle is...
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The finger movement has the information about force, speed to bend and the combination of fingers. If these information is estimated, the many degrees of freedom interface can apply it. In this study, we aimed for the...
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In this paper, we consider speaker identification for the co-channel scenario in which speech mixture from speakers is recorded by one microphone only. The goal is to identify both of the speakers from their mixed sig...
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ISBN:
(纸本)9781424475421
In this paper, we consider speaker identification for the co-channel scenario in which speech mixture from speakers is recorded by one microphone only. The goal is to identify both of the speakers from their mixed signal. High recognition accuracies have already been reported when an accurately estimated signal-to-signal ratio (SSR) is available. In this paper, we approach the problem without estimating SSR. We show that a simple method based on fusion of adapted Gaussian mixture models and Kullback-Leibler divergence calculated between models, achieves an accuracy of 97% and 93% when the two target speakers enlisted as three and two most probable speakers, respectively.
Moore＇s law will grant computer architects ever more transistors for the foreseeable future, and the challenge is how to use them to deliver efficient performance and flexible programmability. We propose a many-core ...
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Moore＇s law will grant computer architects ever more transistors for the foreseeable future, and the challenge is how to use them to deliver efficient performance and flexible programmability. We propose a many-core architecture, Godson- T, to attack this challenge. On the one hand, Godson-T features a region-based cache coherence protocol, asynchronous data transfer agents and hardware-supported synchronization mechanisms, to provide full potential for the high efficiency of the on-chip resource utilization. On the other hand, Godson-T features a highly efficient runtime system, a Pthreadslike programming model, and versatile parallel libraries, which make this many-core design flexibly programmable. This hardware/software cooperating design methodology bridges the high-end computing with mass programmers. Experimental evaluations are conducted on a cycle-accurate simulator of Godson-T. The results show that the proposed architecture has good scalability, fast synchronization, high computational efficiency, and flexible programmability.
The finger movement has the information about force, speed to bend and the combination of fingers. If these information is estimated, the many degrees of freedom interface can apply it. In this study, we aimed for the...
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The finger movement has the information about force, speed to bend and the combination of fingers. If these information is estimated, the many degrees of freedom interface can apply it. In this study, we aimed for the many degrees of freedom finger movement classification. We tried each fingers classification and the estimate of the flexural finger force using surface-electromyogram signals. In the technique, amount of characteristic are a cepstral coefficient of EMG signals and an integral calculus EMG signals. A support vector machine performs learning and classification. Therefore, I propose the classification technique and inspected a classification each finger and the combination of fingers by offline data handling using surface EMG signals.
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