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    Information Processing and Assessment for Improved Computational Energy Modelling by Zuhair A Nasar

    Published 2021-09-01
    Subjects: “…Information Processing, Building Informational Modelling, Computational Model, Parametric Design…”
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    Structures of processors for calculating the instant Walsh spectrum by A. A. Budzko, T. N. Dvornikova

    Published 2021-11-01
    “…The class of processors for computing the instantaneous spectrum according to Walsh is called serialparallel processors. …”
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    Empirical Learning of Dynamical Decoupling on Quantum Processors by Christopher Tong, Helena Zhang, Bibek Pokharel

    Published 2025-08-01
    “…Despite extensive work in DD design, finding pulse sequences that optimally decouple computational qubits is not well understood. Using IBM’s superconducting-qubit-based quantum processors, we demonstrate how to empirically tailor DD strategies for an arbitrary quantum circuit and device. …”
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    A FAST ALGORITHM FOR COMPUTING SHORT AND LONG –LENGTH LINEAR AND CIRCULAR DISCRETE CONVOLUTION by Ali K. Nahar, Hussein K. Khleaf

    Published 2025-07-01
    “…However, Convolution:-(Issues and Applications) is necessary for addressing many scientific and technical cases, including partial differential equations, signal processing, and image processing. Traditional problem resolution is complicated and has several drawbacks. …”
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    Multimode Flex-Interleaver Core for Baseband Processor Platform by Rizwan Asghar, Dake Liu

    Published 2010-01-01
    “…Algorithmic level optimizations like 2D transformation and realization of recursive computation are applied, which appear to be the key to reach to an efficient hardware multiplexing among different interleaver implementations. …”
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    Analog Implementation of a Spiking System for Performing Arithmetic Logic Operations on Mixed‐Signal Neuromorphic Processors by Alvaro Ayuso‐Martinez, Daniel Casanueva‐Morato, Juan P. Dominguez‐Morales, Giacomo Indiveri, Angel Jimenez‐Fernandez, Gabriel Jimenez‐Moreno

    Published 2025-04-01
    “…Previous work has shown the feasibility of implementing spiking neural networks that operate in a Boolean manner on digital platforms, such as SpiNNaker, using basic logic gates and a spiking memory, which suggests the potential for constructing a low‐power consumption spiking computer. This work takes a first step in the implementation of a spiking central processing unit by developing an arithmetic logic unit, which is an essential block for instruction execution, demonstrating its correct operation on Dynap‐SE1. …”
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