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In this paper, we investigate the impact of relative distance and large-scale fading of legitimate user and eavesdropper on the artificial noise (AN) assisted secrecy scheme in a multiple-input single-output (MISO) wiretap channel. We show that AN does not always improve the achievable ergodic secrecy rate (ESR), and provide an exact signal-to-noise ratio (SNR) threshold below which AN does not work...
Owing to the decline of recognition rate of speech recognition system in noisy environments. In signal space, the speech enhancement algorithm which combines the Priori Signal-to-Noise Ratio (SNR) with Auditory Masking Effect can effectively remove the noise of the speech signal. In feature space, improved non-uniform spectral perceptual compression feature extraction algorithm can effectively compress...
Endpoint detection is a typical classification problem, which means the signal will be divided into two types of speech and background noise. Under the environment with low SNR, in order to better enhance the discrimination of noise and improve the accuracy of speech endpoint detection system, this paper proposes a new type of voice parameter — sub-band energy-entropy-ratio by combining the sub-band...
With the large expected demand of wireless network communication, Device-to-Device (D2D) communication has been proposed as a promising technology to enhance network performance. The selfish nature of potential D2D users, may impale the performance of D2D-enabled network. In this paper, we consider a D2D-enabled cellular network framework, which supports both divided and shared D2D modes, under overlay...
With worldwide deployment of 100Gbps coherent DP-QPSK, beyond 100G optical communication technology, which is featured by high-order modulation, spectral compression, flex grid, and super-channel, has become one focus of industry. The new features of physical interface lead new challenge on the system performance test and evaluation. Based on the discussion of test results of two kinds of typical...
Spectral data across energy bins are highly correlated but the signal to noise ratio is generally poor for each energy bin due to the narrow bin width and resultant quantum noise. To address this problem, in this paper we propose a spectral CT reconstruction approach that simultaneously reconstructs x-ray attenuation coefficients in all the energy bins, aided by intra-image sparsity and inter-image...
In this paper, a weighted sparse Bayesian learning algorithm for off-grid direction of arrival (DOA) estimation is proposed. By utilizing the relationship between the noise subspace and the overcomplete basis matrix, the weights are designed and treated as the hyperprior knowledge of the signals, which changes the variance of the Laplace distribution of the signal, i.e., the average power of the signal,...
Load imbalance is a serious damage to an efficient cooperative network. To cope with this problem, firstly, a mathematical analysis of such imbalance problem from the point of view of relay selections in the cooperative communications is given. Secondly, a load balancing fuzzy scheme is proposed to distribute the load over the relays as uniformly as possible. The fuzzy scheme considers both instantaneous...
We consider signal detection in amplify-and forward wireless relay networks when we have an imperfect partial channel estimate available at the destination. Channel state information is required when coherent distributed space-time coding is employed at the relays. For the case of maximum a posteriori signal detection, we propose a modified detector formulation that takes the variance of channel estimation...
With the excellent ability of anti-interference, the conventional Transform Domain Communication System (TDCS) is conditioned in extensive application for its weak anti-fading ability in fading channel between the transmitter and the receiver. This paper presents a Multiple-input Multiple-output Transform Domain Communication System (MIMO-TDCS) by adding vertical Bell Labs layered space-time (V-BLAST)...
In this paper, we propose a novel phase preserving spectral subtraction method for enhancing speech in noise. Instead of the conventional approach of carrying out subtraction on the magnitude spectrum in the acoustic frequency domain, we propose to perform subtraction on the real and imaginary spectra separately in the modulation frequency domain. By doing so, we are able to enhance magnitude as well...
Relaying is expected to be one key element of the future cellular networks. This paper focuses on 3GPP LTE-Advanced network incorporated with Type I relay nodes. We first present the required radio resource management (RRM) framework which includes routing, resource partition and scheduling functions. Then two RRM strategies are suggested: one with the conventional cellular settings, the other with...
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