Documentos de Gabriel Moreno

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Mostrando 10 resultados de: 89

4 Achieving Predictable Performance in Multicore Embedded Real-Time Systems

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Abstract: 4.1 Purpose The community at large has already recognized the risk involved in the trend to base the

5 Achieving Predictable Performance in Multi-Core Embedded Real-Time Systems—2 nd Year

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Abstract: 5.1 Purpose The community at large has already recognized the risk involved in the trend to base the

A PCI AER Co-Processor Evaluation Based on CPUs Performance Counters

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Abstract: Image processing in digital computer systems usually considers the visual information as a sequence

A binaural neuromorphic auditory sensor for FPGA: a spike signal processing approach

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Abstract: This paper presents a new architecture, design flow, and field-programmable gate array (FPGA) implem

A bio-inspired implementation of a sparse-learning spike-based hippocampus memory model

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Abstract: The nervous system, more specifically, the brain, is capable of solving complex problems simply and

A neuro-inspired spike-based PID motor controller for multi-motor robots with low cost FPGAs

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Abstract: In this paper we present a neuro-inspired spike-based close-loop controller written in VHDL and impl

A spiking neural network for real-time Spanish vowel phonemes recognition

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Abstract: This paper explores neuromorphic approach capabilities applied to real-time speech processing. A spi

AER building blocks for multi-layer multi-chip neuromorphic vision systems

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Abstract: A 5-layer neuromorphic vision processor whose components communicate spike events asychronously usin

AER spiking neuron computation on GPUs: The Frame-to-AER generation

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Abstract: Neuro-inspired processing tries to imitate the nervous system and may resolve complex problems, such

Chrono-Scheduling: A Simplified Dynamic Scheduling Algorithm For Timing Predictable Processors

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Abstract: We propose a simpler and latency-reduced instruction scheduler, called chrono-scheduling algorithm,

Mostrando 10 resultados de: 89

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4 Achieving Predictable Performance in Multicore Embedded Real-Time Systems

5 Achieving Predictable Performance in Multi-Core Embedded Real-Time Systems—2 nd Year

A PCI AER Co-Processor Evaluation Based on CPUs Performance Counters

A binaural neuromorphic auditory sensor for FPGA: a spike signal processing approach

A bio-inspired implementation of a sparse-learning spike-based hippocampus memory model

A neuro-inspired spike-based PID motor controller for multi-motor robots with low cost FPGAs

A spiking neural network for real-time Spanish vowel phonemes recognition

AER building blocks for multi-layer multi-chip neuromorphic vision systems

AER spiking neuron computation on GPUs: The Frame-to-AER generation

Chrono-Scheduling: A Simplified Dynamic Scheduling Algorithm For Timing Predictable Processors