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Showing 1 to 4 of 4 for “"Architectural Optimization"”.

  1. Advanced MIMO-CDMA receiver for interference suppression: Algorithms, system-on-chip architectures and design methodology

    … for joint algorithm and architecture optimization is proposed. To address the performance/complexity tradeoff, we propose two LMMSE equalizer algorithms and SoC architectures for different channel conditions. Both an FFT circulant MIMO equalizer and a frequency domain iterative …

    rice Repository record for Advanced MIMO-CDMA receiver for interference suppression: Algorithms, system-on-chip architectures and design methodology (opens in a new tab)

  2. Embedded hardware architecture for multi-parameter physiological signal monitoring

    … resources). Furthermore, use of algorithmic and architectural optimization techniques (reduction in precision of the fixed-point number representation and reuse of hardware components) allows reducing the hardware footprint by a factor of 4.4 and power consumption by a factor of 2.7 as compared …

    uiuc Repository record for Embedded hardware architecture for multi-parameter physiological signal monitoring (opens in a new tab)

  3. Advancing architecture optimizations with Bespoke Analysis and Machine Learning

    … is important to consider not only design-level optimizations but also architectural optimizations. That being said, architectural optimization presents several challenges. First, the symbolic simulation tool used to characterize gate-level behavior of an application must be written anew for each …

    umn Repository record for Advancing architecture optimizations with Bespoke Analysis and Machine Learning (opens in a new tab)

  4. Transforming Architectural Practice Through Computational Design and Machine Learning: A Decision-Support Framework for Energy and Daylight Optimization

    Architectural design requires balancing aesthetic goals, functional needs, and environmental performance, often involving complex trade-offs. This research integrates machine learning and computational design to optimize building enclosure design, focusing on energy efficiency and daylight …

    vt Repository record for Transforming Architectural Practice Through Computational Design and Machine Learning: A Decision-Support Framework for Energy and Daylight Optimization (opens in a new tab)