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This paper presents a collaborative beamforming design under imperfect channel state information (CSI) assumption for a multiple single-antenna two-way relay network with reciprocal channels. In practical scenario, the channel estimation is always inaccurate at relay nodes. Aiming to tackle the performance degradation caused by the imperfect CSI, we propose a robust beamforming scheme with hypothesis...
Voice conversion system modifies a speaker's voice to be perceived as another speaker uttered, and now it is widely used in many real applications. However, most research only focuses on one aspect performance of voice conversion system, rare theoretical analysis and experimental comparison on the whole source-target speaker voice conversion process has been introduced. Therefore, in this paper, a...
A hearing aid, worn in or around a wearer's ear, is an electroacoustic device to block noise and enhance target sound signal for the wearer. However, there is no method in traditional hearing aids that can automatically separate noise from a received signal mixture. Especially when the backing round is complex, amplified sound by a traditional hearing aid is still a multi-source mixture, and its wearer...
Considering that expert's demonstrations are usually sub optimal and failed demonstrations often have some useful guidance, in this paper, a Discriminative Apprenticeship Learning algorithm is proposed, where the apprentice is taught with the join of failed attempts to acquire the ability that could discriminate the preference and non-preference cases so that to actively take a corresponding action...
Recent studies on queue-length-based randomized link scheduling algorithms have shown their throughput-optimality. But simulation results indicate that the packet delay in such algorithms can be quite large, even when the traffic intensity is low compared with the network capacity. The reason can be traced to the fact that these algorithms need the queues to be sufficiently large before the links...
This paper presents a novel method to extract dominant motion patterns (MPs) and the main entry/exit areas from a surveillance video. The method first computes motion histograms for each pixel and then converts it into orientation distribution functions (ODFs). Given these ODFs, a novel particle meta-tracking procedure is launched which produces meta-tracks, i.e. particle trajectories. As opposed...
In wireless sensor networks, various applications involve learning one or multiple functions of the measurements observed by sensors, rather than the measurements themselves. This paper focuses on the computation of type-threshold functions which include the maximum, minimum, and indicator functions as special cases. Previous work studied this problem under the collocated collision network model and...
The Named Data Networking (NDN) is proposed recently as a promising paradigm for the future Internet due to its built-in caching and name-based routing for ef??cient content distribution. For the time being, the research on NDN caching is still a preliminary topic, especially for the scenario of an ISP with multiple gateways. For more in-depth excavation, we have studied the effective intra-ISP caching...
This paper introduces a new method for enhancing highway safety and efficiency by coordinated control of vehicle platoons. One of our aims is to understand influence of communication network topologies and uncertainties on control performance. Vehicle deployment is formulated as a weighted and constrained consensus control problem. Algorithms are introduced and their convergence properties are established...
With CMOS device into the stage of very deep-submicron, testing power has been an important problem in the VLSI design. In this paper, sources of power consumption for CMOS devices are analyzed and the low power consumption test vector generator of the COMS device is introduced. In order to reduce the switching activity rate of internal nodes in circuit-under-test (CUT), and raise the correlation...
ART2 is a kind of self-organizing neural network which is based on adaptive resonance theory. It carries out the recognition by using competive learning and self-steady mechanism, and can learn by itself in dynamic environment with noise and without supervision. Its learning process can recognize learned models fastly and be adapted to new unknown objects rapidly. SAR ATR (Synthetic Aperture Radar...
This paper introduces a new method for enhancing robustness against communication uncertainties in consensus control by using a state and sampling-interval dependent dither in signal transmission. This method is based on the principle of Itô's formula for stochastic differential equation in which the diffusion term introduces a quadratic term in stability analysis. It is revealed that this feature...
In wireless packet-forwarding networks, selfish nodes always want to maximize their utilities and do not like to help others forward data streams, thus causing severe network performance degradation. To solve the packet-forwarding problem, a novel coalitional game approach based on the selective decode-and-forward (SDF) relaying scheme is proposed. In the game-theoretic analysis, we study the properties...
We study a 2-user 2-hop network with 2 relays in which channel coefficients are independently drawn from continuous distributions and vary over time. For a broad class of channel distributions, we characterize the ergodic sum capacity within a constant number of bits/sec/Hz, independent of signal-to-noise ratio. Specifically, we characterize the ergodic sum capacity within 4 bits/sec/Hz for independent...
This paper proposes a new flux-weakening control strategy for Interior Permanent Magnet Synchronous Motor (IPMSM) drives. The difference of reference voltage vector action time using over-modulation technique in SVPWM is used to modify d-axis current to realize the flux-weakening control strategy. Automatic transition between the constant torque region and the constant power region can be achieved...
This paper proposes a new manifold entropy function based on local tangent space (LTS). With this entropy function, we further propose a framework for image retrieval. The retrieval is treated as searching for ordered cycles by categories in image datasets. The optimal cycles can be found by minimizing our manifold entropy of images.
A novel 2-dimensional DOA estimation algorithm is proposed based on the signal phase matching (SPM) principle using an acoustic vector-sensor, which a reference virtual-point is inducted to the center of the vector-sensors for deriving the representation of the time delay equation (TDE) in the SPM principle. Then, according to the TDE and the singular value decomposition (SVD) theory, we can implement...
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