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Showing 1 to 8 of 8 for “"Digital architectures"”.

  1. Digital Hardware Architectures for Exact and Approximate DCT Computation Using Number Theoretic Techniques

    … for exact and approximate DCT computation. Novel digital hardware architectures that utilize these techniques to obtain, a) improvements in accuracy b) reductions in area and power consumption, are proposed. Review of the utilized number theoretic techniques, mathematical derivations of the …

    ohiolink Repository record for Digital Hardware Architectures for Exact and Approximate DCT Computation Using Number Theoretic Techniques (opens in a new tab)

  2. Combining RF Machine Learning and RF Photonics to Enable New Analog Communications Architectures

    … circuit designing to quickly evaluate ONN architectures. The LTI Toolkit interprets the electromagnetic (EM) waves as LTI inputs into a transfer function that obeys the analytical solutions of the photonic components. Thus, this LTI toolkit was a stepping stone to designing the primary …

    mit Repository record for Combining RF Machine Learning and RF Photonics to Enable New Analog Communications Architectures (opens in a new tab)

  3. Optimal Hybrid MIMO Beamforming Designs for Energy-Efficient Communication Systems

    … hybrid MIMO a practical alternative to fully digital architectures. This thesis presents optimal hybrid MIMO beamforming designs as a key strategy to enhance energy efficiency in communication systems. The technical chapters are structured to address three critical aspects of hybrid …

    unsw Repository record for Optimal Hybrid MIMO Beamforming Designs for Energy-Efficient Communication Systems (opens in a new tab)

  4. Radio frequency direct-digital QPSK modulators in CMOS technology

    In this thesis, novel direct-digital Quadrature Phase Shift Keying (QPSK) modulators are proposed in low-cost Complimentary Metal Oxide Semiconductor (CMOS) technology for radio frequency (RF) wireless applications. Direct-digital architectures have attracted much attention recently as they …

    queens Repository record for Radio frequency direct-digital QPSK modulators in CMOS technology (opens in a new tab)

  5. Design and Analysis of Defect- and Fault-tolerant Nano-Computing Systems

    … One approach for developing robust digital systems from such unreliable nanodevices is to introduce defect- and fault-tolerance at the architecture level. Structurally redundant architectures, reconfigurable architectures and architectures that are a hybrid of the previous two have …

    vt Repository record for Design and Analysis of Defect- and Fault-tolerant Nano-Computing Systems (opens in a new tab)

  6. Ψηφιακές και υπολογιστικές συντεταγμένες : προς μια ερμηνεία της εισαγωγής της ψηφιακής σχεδίασης και του υπολογιστικού σχεδιασμού στην αρχιτεκτονική εκπαίδευση

    Η νέα χιλιετία βρίσκει το πεδίο της αρχιτεκτονικής να εισέρχεται σε μια “Ψηφιακή” εποχή, την οποία μπορούμε – τηρουμένων των αναλογιών – να παραλληλίσουμε με την “Νέα Εποχή” της Βιομηχανικής Επανάστασης των αρχών του 20ου αιώνα. Η εισαγωγή του Ψηφιακού Ηλεκτρονικού Υπολογιστή – ως φορέα του …

    patras-thes Repository record for Ψηφιακές και υπολογιστικές συντεταγμένες : προς μια ερμηνεία της εισαγωγής της ψηφιακής σχεδίασης και του υπολογιστικού σχεδιασμού στην αρχιτεκτονική εκπαίδευση (opens in a new tab)

  7. Cross-layer methods for energy-efficient inference using in-memory architectures

    … challenge. In conventional von Neumann architectures, the energy and latency cost of realizing ML algorithms is dominated by memory accesses. To address this issue, the deep in-memory architecture (DIMA) was proposed, which embeds mixed-signal computation as an integral part of the …

    uiuc Repository record for Cross-layer methods for energy-efficient inference using in-memory architectures (opens in a new tab)

  8. Deep in-memory computing

    … as compared to the conventional 8-b fixed-point digital implementation optimally designed for each algorithm. Then, DIMA also has been applied to more complex algorithms: (1) convolutional neural network (CNN), (2) sparse distributed memory (SDM), and (3) random forest (RF). System-level …

    uiuc Repository record for Deep in-memory computing (opens in a new tab)