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Identifying meaningful signal buried in noise is a problem of interest arising in diverse scenarios of data-driven modeling. We present here a theoretical framework for exploiting intrinsic geometry in data that resists noise corruption, and might be identifiable under severe obfuscation. Our approach is based on uncovering a valid complete inner product on the space of ergodic stationary finite valued...
The consensus error calculation of the multi-agent systems (MASs) with system noises and communication noises is considered in this paper. Each agent is modeled by a continuous-time linear time-invariant dynamics and the communication topology is described by an undirected graph. It is supposed that the agent can obtain its own state accurately and receive the state of the neighbor agent with noisy...
In this paper, the leader-following consensus of multi-agent system in noisy environment under fixed and switching topology is investigated. Based on the optimal regulator, a distributed consensus controller is designed, using the stochastic analysis and algebraic graph theory, a sufficient condition that under which the consensus error (disagreement vector) can be exponentially stable in mean square...
As is well known to all, the multi-agent systems (MASs) are not able to reach consensus with any protocol if the MASs contains system noise. The problem of consensus error calculation for MASs with both system and measurement noises is considered. The contributions of the paper are two aspects. The first one is to design a novel protocol based on the Kalman filtering and information fusion, so that...
Consider a set of agents implementing the discrete time consensus algorithm. At each time step, all agents also transmit their states to a central estimator that wishes to identify the underlying topology and eigenvalues of the network. It does so by using a nonlinear least squares (NLS) algorithm to identify the state evolution matrix used in the consensus algorithm. We present a mechanism to protect...
We present a CMOS differential neural amplifier with high input impedance, which topology is inspired by the instrumentation amplifier. The miniaturization of the MEAs goes with an increase of the electrodes impedance and necessitates high input impedance neural amplifiers; otherwise it results in a significant loss of signal and low SNR. The circuit presented here is designed on a 0.35 μm CMOS technology...
In today's large social and technological networks, since it is unfeasible to observe all the nodes, the source of diffusion is determined based on the observations of a subset of nodes. The probability of source localization error depends on the particular choice of observer nodes. We propose a criterion for observer node selection based on the minimal pairwise Chernoff distance between distributions...
This paper proposes a new continuous-time (CT) MASH delta sigma (ΔΣ) modulator topology in which dual VCO-based quantizers are incorporated. The nonlinearity of both voltage-controlled oscillators (VCOs) caused by their nonlinear voltage-to-frequency (V-to-F) transfer curve are systematically suppressed without any calibration schemes. After the input voltage is directly digitized by a VCO-based quantizer...
The measurement and analysis of low level vibrations and Acoustic Emissions in components, fabrications and structures, is often accomplished by the utilisation of multiple distributed piezoelectric sensors. The frequencies of interest usually commence in the upper audio range above 2 kHz, but are more typically ultrasonic frequencies (up to 1MHz). Such measurements are intrinsically limited in terms...
In this paper, an 8-channel low-power analog front-end amplifier (AFEA) with time-constant-enhanced topology is proposed for neural signal acquisition. The AFEA is composed of eight time-constant-enhanced amplifiers (TCEAs) and high-pass filters (HPFs), a multiplexed transconductor (MGM) and a transimpedance amplifier (TIA). The AFEA is designed and simulated in 65nm CMOS technology. The bandwidth...
Multi-agent systems (MASs) are universal in nature, including biological, physical, and engineering systems. This paper investigates the robust consensus of a class of linear MASs with transmission noise. In detail, we develop a new framework to design an observer-based consensus protocol utilizing sampled data. That is, some sufficient conditions are derived to guarantee the existence of sampled...
A noise improved Charge Sensitive Amplifier (CSA) topology for a gaseous detector readout front-ends is presented. The proposed topology is based on the traditional cascode topology with addition of a PMOS to partially cancel the channel thermal noise and the flicker noise of the CSA input transistor. A noise improvement of about 23% was obtained without increasing power consumption. Additionally,...
This paper presents IC design of Distributed Maximum Power Point Tracking (DMPPT) controller for Cascade and Mismatched Current Compensation Unit (MCCU) for photovoltaic systems. The Cascade part can handle the conventional DMPPT algorithm and the MCCU part can handle the differential power processing algorithm. This solution can mitigate mismatches in photovoltaic(PV) power system, while introducing...
In this paper, we examine the learning mechanism of adaptive agents over weakly-connected graphs and reveal an interesting behavior on how information flows through such topologies. The results clarify how asymmetries in the exchange of data can mask local information at certain agents and make them totally dependent on other agents. A leader-follower relationship develops with the performance of...
Non-negative matrix factorization (NMF) has been widely used for challenging single-channel audio source separation tasks. However, inference in NMF-based models relies on iterative inference methods, typically formulated as multiplicative updates. We propose “deep NMF”, a novel non-negative deep network architecture which results from unfolding the NMF iterations and untying its parameters. This...
This paper presents a PRIME subnetwork simulation model based on OMNeT++ that reproduces the behaviour of real networks. The developed simulation model uses the most common logical topology of a selected real network provided by a previous monitoring process. Thanks to the developed simulation model, different algorithms and utility applications can be tested in the simulation environment without...
A modeling of communication networks is often done in hierarchical way. So, in PLC there are multiple models of channel, physical, datalink and other layers, which are realized separately in multiple programming environments. Nevertheless it is often advantages to do a cross-layer optimization of communication protocols. For this purpose multiple separate models have to be unified in one simulation...
Power gating is a commonly used method to reduce subthreshold leakage current in nanoscale technologies. In through silicon via (TSV) based three-dimensional (3D) integrated circuits (ICs), power gating can significantly degrade system-wide power integrity since the decoupling capacitance associated with the power gated block/plane becomes ineffective for neighboring active planes, as demonstrated...
A two stage 3.2–6.3 GHz Ultra Wide-Band CMOS Low Noise Amplifier with out-band rejection topology by using modified low noise Active Inductor with 0.18μm CMOS technology is presented in this paper. Due to the Federal communication commission's power limitation on the transmitting signal at transmitter, the receiver signal power of the UWB system is very smaller than interferer narrow-band signals...
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