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Networked control systems have attracted more and more attention in recent years. In such systems, sensors, controller and actuators could be geographically separated, and are linked by digital communication networks. This paper investigates the effects of limited network bandwidth and possible feedback dropouts on the system's stabilizability. Here we consider a system whose state cannot directly...
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...
Among the long-term goals of the fairly new area of brain decoding is the exploitation of the results for the creation of advanced brain-computer interfaces, which can potentially establish a solid communication channel with people in vegetative state. Recent attempts for large-scale brain decoding form a both powerful and promising foundation towards that goal, since they aim to extract accurate...
Most fMRI studies using Multi-Voxel Pattern Analysis (MVPA) restrict these analyses to merely one spatial scale. However, recently [1] used a multi-spatial scale method combining three levels of MVPA analysis on fMRI data from 16 subjects who performed a number comparison task: whole-brain MVPA, Regions Of Interest (ROI) based MVPA, and a small radius searchlight. The results of [1] clearly demonstrated...
We use a 2-dimensional (2-D) Vernier gated-ring-oscillator (GRO) time-to-digital-converter (TDC) in a cascade structure (MASH), so that a larger raw quantization step can be allowed without sacrificing the final resolution performance. The 2-D approach effectively reduces the latency time under a large input, while the MASH structure provides a 2nd-order noise shaping that produces a lower in-band...
We consider compressive sensing as a source coding method for signal transmission. We concatenate a convolutional coding system with 1-bit compressive sensing to obtain a serial concatenated system model for sparse signal transmission over an AWGN channel. The proposed source/channel decoder, which we refer to as turbo CS, is robust against channel noise and its signal reconstruction performance at...
Nanonetworking indicates new solutions for many applications in biomedical and industrial fields. In this paper, we examine the diffusion-based molecular communication for information transmission in nano-networks. Design of practical decoders for resource-limited nano-networks requires an understanding the fundamental performance limits of memory-limited decoders. While some existing works in the...
Remote stabilization of two noisy linear plants over a symmetric Gaussian interference channel with possibly noisy feedback from controllers to the plants is studied. Each plant is monitored by a separate sensor which communicates its observations to a separate controller over a Gaussian interference channel. The controllers aim at stabilizing the two plants in mean-square sense. The plant noise is...
It is of great value to study control systems employing sensors and actuators which are geographically separated. In this paper, we study a system with bounded noise and stabilize it under output quantized feedback. Some people have done research on full-state observable linear systems. Here we consider the general(not necessarily full-state observable) output feedback situation with system noise...
A 10-bit pipeline analog-to-digital converter is presented with the ability of converting small input peak-to-peak voltages of around 100mvolts. Two-Stage comparators in flash structure are cautiously scheduled for both pre-amplification and latch operations, applying a simple switching strategy to reduce the coupling noise effect of transferring digital signals into analog sections. Namely, the digital...
This paper proposes a user cooperation scheme to improve the achievable rate of a cell edge user in a two cell model. In the proposed user cooperation, one user helps decoding of the other user by either desired signal forwarding (SF) or interference forwarding (IF). We derive an achievable rate region of the proposed user cooperation and compare it with that of a conventional two-cell system without...
n this paper, we introduce a three-phase transmis- sion scheme for cloud radio networks against eavesdropper. We study the security and reliability performance of this scheme in the form of intercept probability and outage probability, respectively. Channel estimation error is considered in our study instead of assumption of perfect channel state information. It is found that the security-reliability...
We propose a low complexity graph-based linear minimum mean square error (LMMSE) equalizer which considers both the intersymbol interference (ISI) and the effect of non-white noise inherent in Faster-than-Nyquist (FTN) signaling. In order to incorporate the statistics of noise signal into the factor graph over which the LMMSE algorithm is implemented, we suggest a method that models it as an autoregressive...
Experimental measurements have shown that the noise in many communication channels is non-Gaussian. Bit interleaved coded modulation (BICM) is very popular for spectrally efficient transmission. Recent results have shown that the performance of BICM using convolutional codes in non-fading channels can be significantly improved if the coded bits are not interleaved at all. This particular BICM design...
802.11 WLANs suffer from high packet losses due to interference and noise. Packet retransmission is a fundamental way to recover a lost packet. To extract useful information from incorrect symbols and improve retransmission efficiency, we present MISC, a packet retransmission scheme that merges incorrect symbols from multiple transmissions to produce correct ones. MISC proactively creates constellation...
In recent years, intelligent network based Automation Systems are developed in industrial, commercial and residential sectors. The idea of managing the devices remotely can be implemented using various wireless technologies such as ZigBee, GSM/GPRS, Bluetooth, but these technologies require development of software, dedicated devices and network establishment schemes. Hence the implementation becomes...
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...
This paper investigates the behavior of the noisy Min-Sum decoder over binary symmetric channels. A noisy decoder is a decoder running on a noisy device, which may introduce errors during the decoding process. We show that in some particular cases, the noise introduce by the device can help the Min-Sum decoder to escape from fixed points attractors, and may actually result in an increased correction...
The prototypical brain-computer interface (BCI) algorithm translates brain activity into changes in the states of a computer program, for typing or cursor movement. Most approaches use neural decoding which learns how the user has encoded their intent in their noisy neural signals. Recent adaptive decoders for cursor movement improved BCI performance by modeling the user as a feedback controller;...
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