The Experts below are selected from a list of 189 Experts worldwide ranked by ideXlab platform

L.m. Reyneri - One of the best experts on this subject based on the ideXlab platform.

  • Mixing analog and Digital Techniques for silicon neural networks
    IEEE International Symposium on Circuits and Systems, 1990
    Co-Authors: D. Del Corso, L.m. Reyneri
    Abstract:

    Some of the problems which arise during the design of dedicated implementations of artificial neural networks are described, with emphasis on the selection tradeoffs between analog and Digital circuits. It is shown that mixing both Techniques may result in an overall performance improvement. A cell based on this principle is described. The analysis of several implementation problems of silicon ANNs (artificial neural networks) shows that precision is not essential for adaptive networks and that pulse-stream circuits represent a good compromise between performance, size and speed. Pulse-stream methodologies are chosen because they allow a noise-insensitive, hence efficient, transmission of information. Although this has not been the selection criterion, it is worth noting that the use of pulse streams has a counterpart in natural neural networks, which use these Techniques heavily to transmit analog information in a noisy environment and to reduce the total power dissipation.

D. Del Corso - One of the best experts on this subject based on the ideXlab platform.

  • pulse stream vlsi neural networks mixing analog and Digital Techniques
    IEEE Transactions on Neural Networks, 1991
    Co-Authors: Alan F Murray, D. Del Corso, Lionel Tarassenko
    Abstract:

    The pulse-stream technique, which represents neural states as sequences of pulses, is reviewed. Several general issues are raised, and generic methods appraised, for pulsed encoding, arithmetic, and intercommunication schemes. Two contrasting synapse designs are presented and compared. The first is based on a fully analog computational form in which the only Digital component is the signaling mechanism itself-asynchronous, pulse-rate encoded Digital voltage pulses. In this circuit, multiplication occurs in the voltage/current domain. The second design uses more conventional Digital memory for weight storage, with synapse circuits based on pulse stretching. Integrated circuits implementing up to 15000 analog, fully programmable synaptic connections are described. A demonstrator project is described in which a small robot localization network is implemented using asynchronous, analog, pulse-stream devices. >

  • Mixing analog and Digital Techniques for silicon neural networks
    IEEE International Symposium on Circuits and Systems, 1990
    Co-Authors: D. Del Corso, L.m. Reyneri
    Abstract:

    Some of the problems which arise during the design of dedicated implementations of artificial neural networks are described, with emphasis on the selection tradeoffs between analog and Digital circuits. It is shown that mixing both Techniques may result in an overall performance improvement. A cell based on this principle is described. The analysis of several implementation problems of silicon ANNs (artificial neural networks) shows that precision is not essential for adaptive networks and that pulse-stream circuits represent a good compromise between performance, size and speed. Pulse-stream methodologies are chosen because they allow a noise-insensitive, hence efficient, transmission of information. Although this has not been the selection criterion, it is worth noting that the use of pulse streams has a counterpart in natural neural networks, which use these Techniques heavily to transmit analog information in a noisy environment and to reduce the total power dissipation.

Manuel Barragan - One of the best experts on this subject based on the ideXlab platform.

  • Statistical evaluation of Digital Techniques for Sigma-Delta ADC BIST
    2017
    Co-Authors: Matthieu Dubois, S. Mir, Haralampos-g. Stratigopoulos, Manuel Barragan
    Abstract:

    Digital Techniques for an embedded dynamic test of ∑Δ ADCs have been recently presented in the literature. These Techniques are based on the use of ∑Δ streams for the stimulation of the ADC. Binary and ternary test stimuli have been proposed. In this chapter, we aim at the validation of these embedded test Techniques, comparing the results obtained with the different types of Digital stimuli with a standard high-resolution analog sinusoidal stimulus. This validation is done in terms of the expected yield loss and test escapes of the proposed embedded Techniques. However, performing this validation at the design stage demands extensive computational resources, which may render electrical simulations infeasible. Thus, we propose an advanced simulation framework for this validation. The proposed simulation strategy relies on a combination of transistor-level simulations, behavioral simulations, and statistical tools.

  • Statistical Evaluation of Digital Techniques for Σ Δ ADC BIST
    2017
    Co-Authors: Matthieu Dubois, S. Mir, Haralampos-g. Stratigopoulos, Manuel Barragan
    Abstract:

    Digital Techniques for an embedded dynamic test of Σ Δ ADCs have been recently presented in the literature. These Techniques are based on the use of Σ Δ streams for the stimulation of the ADC. Binary and ternary test stimuli have been proposed. In this chapter, we aim at the validation of these embedded test Techniques, comparing the results obtained with the different types of Digital stimuli with a standard high-resolution analog sinusoidal stimulus. This validation is done in terms of the expected yield loss and test escapes of the proposed embedded Techniques. However, performing this validation at the design stage demands extensive computational resources, which may render electrical simulations infeasible. Thus, we propose an advanced simulation framework for this validation. The proposed simulation strategy relies on a combination of transistor-level simulations, behavioral simulations, and statistical tools.

Eleni Vlachonasiou - One of the best experts on this subject based on the ideXlab platform.

James B. Y. Tsui - One of the best experts on this subject based on the ideXlab platform.

  • Digital Techniques for Wideband Receivers, Second Edition
    Digital Techniques for Wideband Receivers, 2001
    Co-Authors: James B. Y. Tsui
    Abstract:

    From the Publisher: This newly updated, second edition of Digital Techniques for Wideband Receivers is a current, comprehensive design guide for your Digital processing work with today's complex receiver systems. Brand new material brings you up-to-date with the latest information on wideband electronic warfare receivers, the ADC testing procedure, frequency channelization and decoding schemes, and the operation of monobit receivers. The book shows you how to effectively evaluate ADCs, offers insight on building electronic warfare receivers, and describes zero crossing Techniques that are critical to new receiver design. From fundamental concepts and procedures... to recent technology advances in Digital receivers, you get practical solutions to all your demanding wideband receiver problems. This hands-on reference is packed with 1,103 equations and 315 illustrations that support key topics covered throughout the book.

  • Digital Techniques for wideband receivers
    1995
    Co-Authors: James B. Y. Tsui
    Abstract:

    From the Publisher: With the most comprehensive description available of Digital processing applicable to wideband receivers, this book helps you better understand the requirements of wideband Digital RF receivers, learn numerous solutions to receiver problems, and get an overview of future trends in receiver development.