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Asymmetric Distributed Source-Channel coding (DSC) is considered, where a pair of correlated sources are transmitting to a central node. The distributed scheme is based on Turbo Trellis Coded Modulation (TTCM), where the first source will be channel encoded and then compressed before it is sent over Nakagami-m fading channels. The second source signal, however, is assumed to be available flawlessly...
We consider the joint source-channel coding (JSCC) problem where the real valued outputs of two correlated memoryless Gaussian sources are scalar quantized, bit assigned, and transmitted, without applying any error correcting code, over a multiple access channel (MAC) which consists of two orthogonal point-to- point time-correlated Rayleigh fading sub-channels with soft- decision demodulation. At...
Considering the fact that when the signal-to-noise ratio (SNR) is less than a certain threshold, the bit error rate (BER) performance of joint source-channel decoding (JSCD) will become more vulnerable to channel noise. To further improve the performance of JSCD, a practical and efficient algorithm, named joint iterative source-channel decoding (JISCD), is proposed in this paper, in which the performance...
In this paper, we present an extension of the semi-definite programming formulation of the optimal rate code design in single link Binary Erasure Channel (BEC) proposed by the authors to the Binary Erasure Multiple Access Channel (BE-MAC) with two sources correlation. This new way can be easily extended to the multiple access senders. Simulation results show the efficiency and effectiveness of the...
Decoding the user intention from non-invasive EEG signals is a challenging problem. In this paper, we study the feasibility of predicting the goal for controlling the robot arm in self-paced reaching movements, i.e., spontaneous movements that do not require an external cue. Our proposed system continuously estimates the goal throughout a trial starting before the movement onset by online classification...
The statistical model of the bits to be encoded is crucial for the coding performance of distributed video coding (DVC). In this paper, a bit-level context-adaptive correlation model is proposed to exploit high-order statistical correlation for better channel coding performance, which consequently improves the video coding efficiency. In the proposed scheme, the wavelet domain DVC is considered and...
Stochastic resonance (SR), in which response of a system is optimized or enhanced by adding noise, is electronically caused using nonlinear electron devices, such as comparator, semiconductor nanowire FET, and their networks. The unique behavior of the phenomenon is analyzed and understood in terms of signal processing techniques. The positive role of the variation in the nanodevice network in terms...
It is strongly demanded to reduce power consumption in wiring such as data bus of Complementary Metal Oxide Semiconductor (CMOS) logic circuits, especially used in mobile devices. The power consumption in CMOS is proportional to transition rate between ‘0’ and ‘1’ of each bit, and a lot of methods to reduce the transition rate have been proposed. On the other hand, in band-limited data, such as audio...
A central question in neuroscience is how the brain reacts to real world sensory stimuli. Naturalistic and complex (e.g. movie) stimuli are increasingly used in empirical research but their analysis often relies on considerable human efforts to label or extract stimulus features. Here we present data-driven analysis strategies that help to obtain interpretable results from multisubject neuroimaging...
The application of multivariate approaches to neuroimaging data analysis is providing cognitive neuroscientists with a new perspective on the neural substrate of conceptual knowledge. In this paper we show how the combined use of decoding models and of representational similarity analysis (RSA) can enhance our ability to investigate the inter-categorical distinctions as well as the intra-categorical...
Vehicular wireless channels are highly time-varying and the pilot pattern in the 802.11p orthogonal frequency-division multiplexing frame has been shown to be ill suited for long data packets. The high frame error rate in off-the-shelf chipsets with noniterative receiver configurations is mostly due to the use of outdated channel estimates for equalization. This paper deals with improving the channel...
Interfering transmissions of independent sources is shown to provide benefits at a cost of complex receiver design. In this paper, we study the optimum transmission of correlated Gaussian sources by allowing opportunistic interference in order to minimize the expected distortion. We assume a successive interference cancellation decoder at the destination and consider a Wyner-Ziv type setup to transmit...
Channel quality parameters are needed to achieve efficient utilization of radio resources. These parameters include channel amplitude gain, channel frequency offset, channel random phase, channel multipath as well as channel noise variance. Usually, signal-to-noise ratio (SNR) at the demodulator output is used as channel quality indicator to link bit error rate (BER). In applications such as power...
Radio Frequency Identification (RFID) is mostly used in harsh environments were deep fades occur. Taking into account a small scale fading channel and the UHF RFID transmission specified by the the EPCglobal protocol a poor communication performance is observed. As the decoding process of the received information is not specified in this protocol, there is a significant potential of increasing the...
Recently, carrying control signals on passing data packets has emerged as a promising direction for efficient control information transmission. With control messages carried on data payload, the extra air time needed for control packets like RTS/CTS is eliminated and thus channel utilization is improved. However, carrying control signals on the data payload of a packet requires the data packet to...
Decoding mental states from task-related fMRI data has recently been the focus of much research. Nevertheless, high levels of acquisition and physiological noise still makes inter-subject decoding a difficult and quite unstable process. Since all of the existing decoding approaches are applied on a volume-by-volume basis, it would be sensible to ensure that sudden signal changes reflect a true change...
This paper presents alternative approaches to select the mixed channels during teleconferencing involving CELP CoDecs. The proposals address the problems related to complexity and delay when classical solutions based on PCM samples are used. The principle consists of avoiding total speech decoding and to extrapolate the speech audio level based on CELP parameters, before channels selection. Only the...
Radio Frequency Identification (RFID) is a wireless communication method mostly used in rough indoor environments. In such environments Forward Error Correction (FEC) is a popular method to improve the transmission quality. However, the common RFID protocol (EPCglobal) only provides error detection based on Cyclic Redundancy Check (CRC) codes. The replacement of this code with an arithmetically similar...
In this paper, we propose the Side Information refinement scheme for the Transform Domain Wyner-Ziv video codec. As the quality of Side Information affects the Rate-Distortion performance of the Wyner-Ziv coding scheme, recent schemes are based on the refinement of the Side Information in the Wyner-Ziv decoding loop to improve the Rate-Distortion performance. But the schemes are not competitive compared...
Lloyd-Max quantization (LMQ) is a widely used scalar non-uniform quantization approach targeting for the minimum mean squared error (MMSE). Once designed, the quantizer codebook is fixed over time and does not take advantage of possible correlations in the input signals. Exploiting correlation in scalar quantization could be achieved by predictive quantization, however, for the price of a higher bit...
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