SIGNAL DELAY FOR GENERALLY INTERCONNECTED DISTRIBUTED STRUCTURES

The stop-signal paradigm, a primary experimental paradigm for understanding cognitive control and response inhibition, rests upon the theoretical foundation of race models, which assume that a go process races independently against a stop process that occurs after a stop-signal delay (SSD). We show that severe violations of this independence assumption at short SSDs occur systematically across a wide range of conditions, including fast and slow reaction times, auditory and visual stop signals, manual and saccadic responses, and especially in selective stopping. We also reanalyze existing data and show that conclusions can change when short SSDs are excluded. Last, we suggest experimental and analysis techniques to address this violation, and propose adjustments to extant models to accommodate this finding.

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Development of distortion product emissions in the gerbil: “Filter” response and signal delay

The Journal of the Acoustical Society of America ◽

10.1121/1.417985 ◽

1997 ◽

Vol 101 (1) ◽

pp. 395-411 ◽

Cited By ~ 13

Author(s):

David M. Mills ◽

Edwin W Rubel

Keyword(s):

Signal Delay ◽

Distortion Product ◽

Filter Response

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TDC Implementation Based on Internal Delay Module of FPGA

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.816-817.1063 ◽

2013 ◽

Vol 816-817 ◽

pp. 1063-1068

Author(s):

Rou Gang Zhou ◽

Yun Fei Zhou ◽

Guang Dou Liu ◽

Xiao Tu

Keyword(s):

Nuclear Physics ◽

Measurement Accuracy ◽

Laser Interferometer ◽

Interpolation Method ◽

Time Measurement ◽

Clock Signal ◽

Signal Delay ◽

Digital Conversion ◽

Sampling Points ◽

Stable Performance

Currently the time to digital converter (TDC) integrated in FPGA performs time-to-digital conversion in the carry chain mode and inter-slot offset is caused to be severe by internal wiring in the FPGA. Based on the carry chain interpolation method, this paper proposes the method for using a delay module in FPGA to achieve accurate signal delay. By calculating the phase difference of multi-clock signal between two latch sampling points, the interval between two sampling points was obtained. Experimental results indicate a measurement accuracy of 78ps or 52ps can be reached by precisely collecting time through the delay module in FPGA. Compared to the carry chain interpolation method, this method is significantly advantageous in small inter-slot offset, stable performance and convenient design and can meet the requirement for time measurement or requirement by laser interferometer with a nm-level accuracy in nuclear physics.

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INTELLIGENT DISTRIBUTED DYNAMIC FOG COMPUTING FRAMEWORK

Электросвязь ◽

10.34832/elsv.2021.20.7.004 ◽

2021 ◽

Author(s):

А.Н. ВОЛКОВ

Keyword(s):

Fog Computing ◽

Computing System ◽

Limited Resources ◽

Swarm Optimization ◽

Communications Networks ◽

Software Migration ◽

Distributed Structures ◽

Computing Framework ◽

Distributed Computing Infrastructure ◽

New Framework

Одним из направлений развития сетей связи 5G и сетей связи 2030 является интегрирование в сеть распределенных вычислительных структур, таких как системы пограничных и туманных вычислений (Fog), которые призваны выполнить децентрализацию вычислительной части сетей. В связи с этим необходимо исследовать и определить принципы предоставления услуг на основе распределенной вычислительной инфраструктуры, в том числе в условиях ограниченности ресурсов отдельно взятых составных частей (Fog-устройства). Предлагается новый фреймворк распределенной динамической вычислительной системы туманных вычислений на основе микросервисного архитектурного подхода к реализации, развертыванию и миграции программного обеспечения предоставляемых услуг. Исследуется типовая архитектура микросервисного подхода и ее имплементация в туманные вычисления, а также рассматриваются два алгоритма: алгоритм K-средних для нахождения центра пользовательской нагрузки и алгоритм роевой оптимизации для определения устройства тумана с необходимыми характеристиками для последующей миграции микросервиса. One of the directions of 5G and 2030 communications networks development is the network-integrated distributed structures, such as edge computing (MEC) and Fog computing, which are designed to decentralize the computing part of networks. In this regard, it is necessary to investigate and determine the principles of providing services based on a distributed computing infrastructure, including in conditions of limited resources of individual components (Fog devices). This article proposes a new framework for a distributed dynamic computing system of fog computing based on a microservice architectural approach to the implementation, deployment, and software migration of the services. The article examines the typical architecture of the microservice approach and its implementation in fog computing, and also investigates two algorithms: K-means for finding the center of user load, swarm optimization (PSO) to determine the fog device with the necessary characteristics for the subsequent migration of the microservice.

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Generalized filter-bank equalizer for noise reduction with reduced signal delay

10.21437/interspeech.2005-686 ◽

2005 ◽

Author(s):

Heinrich W. Lollmann ◽

Peter Vary

Keyword(s):

Noise Reduction ◽

Filter Bank ◽

Signal Delay

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BOC signals processing by two traditional correlator channels

Radioengineering ◽

10.18127/j00338486-202109-01 ◽

2021 ◽

pp. 5-17

Author(s):

O.K. Mikhaylova ◽

I.V. Korogodin

Keyword(s):

Direct Method ◽

Tracking System ◽

Practical Importance ◽

Reference Signal ◽

Processing Algorithm ◽

Statistical Characteristics ◽

Navigation Systems ◽

Signal Delay ◽

Signal Processing Algorithm ◽

To Receive

Problem statement. With the development of satellite navigation systems, new navigation BOC signals are being introduced. Since the structure of BOC signals differs from traditional BPSK signals, this complicates their processing, which may require hardware changes and often leads to the need to develop new ones. Objective. Synthesis and analysis of the BOC signal processing algorithm using two BPSK correlators, comparable in accuracy to the direct method. Results. The synthesis and analysis of the BOC signal delay tracking system using two correlators, originally designed to receive only BPSK-conducting signals, are carried out. The statistical characteristics of the delay discriminator are obtained. It is shown how the accuracy and sensitivity of the obtained delay tracking algorithm are correlated with respect to the reference algorithm, which assumes the use of a signal with a digital subcarrier in the reference signal of the correlator. The pull-in characteristic are obtained. Practical relevance. The processing algorithm BOC signals that doesn't require modification of the traditional correlators of the navigation receiver is presented. This algorithm is of great practical importance, since it allows for high-precision reception of modern BOC and AltBOC signals, despite the limitations characteristic of modern navigation equipment. For example, this algorithm allows to receive Galileo E5 signals using the popular NTLab NT1065 chip. A new signal pull-in algorithm is proposed. This algorithm allows to avoid abnormal tracking errors caused by the operation of the tracking system in the side zones of the s-curve. The pull-in characteristics for various receive conditions are given.

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