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We use classical stimulated four-wave mixing to directly characterize quantum spectral correlations generated in a silicon nanowire for two different pump durations. Signal to noise is increased and acquisition time reduced compared to coincidence detection.
The total DDR on-die AC power delivery noise can be decomposed into high pass filtered (HPF) Vppa and low pass filtered (LPF) Vppb. PI-SI co-simulation reveals that Vppa impacts timing (eye width) and Vppb impacts signal voltage amplitude (eye height), and they need to be budgeted in different manner. Consequently the Power Delivery Network (PDN) is optimized with significant Cpkg and Cdie reduction...
In this work, we investigate and explain the time-dependent behavior of shot noise in Silicon quantum dot-based double-tunnel junctions by means of a three-dimensional self-consistent simulation and a Monte-Carlo algorithm following the time evolution of the system. We demonstrate the strong link between autocorrelation functions and electron waiting time distributions, i.e, the time between two consecutive...
Assessing the I/O performance delta between dual-referencing and ground-referencing schemes is needed to enable a lower layer count on either board or package, thereby reducing the overall platform cost. Existing methodologies attempted in quantifying impact simultaneously on both PI (Power Integrity) and SI (Signal Integrity) [1], [2] although the work is usually focused on I/O power delivery impact...
Comprehensive studies on random telegraph signal (RTS) noise have been done to understand carrier trapping processes, with a main focus on the large variations of time constants. It is observed that time constant distributions, as well as thermal activation energy distributions, weakly depend on the substrate doping concentrations or surface orientations. For individual traps, time constants are quite...
The simulation of a double-tunnel junction with the SENS simulator gives access to the frequency-dependent and static behavior of shot noise. The concept of basic paths in a multi-state process provides a clear interpretation of the noise regimes, and allows locating cut-offs in autocorrelation functions and spectral densities.
The Distributed Video Coding (DVC) paradigm offers lightweight encoding capabilities which are suitable for devices with limited computational resources. Moreover, DVC techniques can theoretically achieve the same coding efficiency as the traditional video coding schemes which employ more complex encoders. However, the performance of practical DVC architectures is still far from such theoretical bounds,...
For single-ended signaling DDR4 channels at 3200Mbps, signal and power integrity issues become increasingly challenging with much smaller voltage and timing windows to balance the budget. As systems increase data rate and IO count, supply noise does not scale accordingly. We present a system level signal and power co-simulation analysis to optimize system performance under stringent timing requirement...
Microarrays represent a new technology for measuring expression levels of several genes under various biological conditions generating multiple data. These data can be analyzed by using biclustering method which aims to extract a maximum number of genes and conditions presenting a similar behavior. This paper proposes a new evolutionary approach to obtain maximal high-quality biclusters of highly-correlated...
The main purpose of this paper is to construct a data accuracy model for the maximal set of sensor nodes that sense a point event and forms a cluster with fully connected network between them. We determine the minimal set of sensor nodes that are sufficient to give approximately the same data accuracy achieve by the maximal set of sensor nodes.
In the context of low-cost video encoding, distributed video coding (DVC) has recently emerged as a potential candidate for uplink-oriented applications. This paper builds on a concept of correlation channel (CC) modeling, which expresses the correlation noise as being statistically dependent on the side information (SI). Compared with classical side-information-independent (SII) noise modeling adopted...
Wyner-Ziv video coding is a new compression paradigm based on two key Information Theory results: the Slepian-Wolf and Wyner-Ziv theorems. It shifts the complexity to the decoder, resulting in a low- complexity encoder suitable for mobile video communications and visual sensor networks. This paper presents an improved Wyner-Ziv video coding scheme for sensor network. An improved key frame encoding...
In this paper, we propose a new technique, referred to as Multi-Wafer Virtual Probe (MVP) to efficiently model wafer-level spatial variations for nanoscale integrated circuits. Towards this goal, a novel Bayesian inference is derived to extract a shared model template to explore the wafer-to-wafer correlation information within the same lot. In addition, a robust regression algorithm is proposed to...
We develop an analytic center approach to distributed estimation fusion when the cross-correlation of errors between local estimates is unknown. Based on a set-theoretic formulation of the problem, we seek an estimate that maximizes the complementary squared Mahalanobis “distance” between the local and the desired estimates in a logarithmic average form, and the optimal value turns out to be the analytic...
This paper investigates the impact of collector-base space charge region (CB SCR) transport on RF noise in bipolar transistor using compact modeling. A model applicable to any compact models is derived and implemented using Verilog-A. Comparison with noise measurement on a SiGe HBT technology shows that overall the noise modeling results are much improved. The imaginary part of optimum generator admittance...
Power delivery system noise, current and impedance are the key performance factors for successful chipsets/CPUs design. Power delivery noise is significantly affected by on-die impedance and current, i.e., on-die power grid equivalent resistance (Rdie), capacitance (Cdie), and Icc(t). Rdie and Cdie have been challenging in pre-silicon extraction and post-silicon measurement. This paper focuses on...
Present distributed video coding (DVC) approaches assume the correlation channel to be side-information independent (SII). We have recently demonstrated that in reality the correlation channel in video is side-information dependent (SID) and that DVC systems which make SII assumptions suffer a significant performance penalty, depending entirely on the correlation statistics of the video data. In this...
The paper addresses an essential problem in distributed video coding (DVC) which is modeling and estimation of the correlation channel. Current works assume the distribution of the correlation noise to be independent from the realization of the side-information. The paper demonstrates that this assumption is inaccurate and proposes a novel model which depends on the realization of the side-information...
The paper thoroughly validates the proposed SID model on a broad dataset, showing significant accuracy improvements over SII models. Additionally, it is theoretically demonstrated that DVC systems that make SII assumptions suffer a performance penalty depending entirely on the correlation statistics of the video data.
For several decades, the output from semiconductor manufacturers has been high volume products with process optimisation being continued throughout the lifetime of the product to ensure a satisfactory yield. However, product lifetimes are continually shrinking to keep pace with market demands. Furthermore there is an increase in dasiafoundrypsila business where product volumes are low; consequently...
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