Design of a third generation real-time cellular neural network emulator
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Dosyalar
Tarih
2014
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, the features of the next generation Real-Time Cellular Neural Network Processor (RTCNNP-v3) are discussed. The RTCNNP-v2 structure is the only CNN implementation that is reported to be capable of processing full-HD 1080p@60 (1920 x 1080 resolution at 60 Hz frame rate) video images in real-time, due to its fully-pipelined architecture, however, it has some weaknesses like the inability to divide the processing in spatial domain, record and recall intermediate results to an external memory and has some issues in its internal memory coding. Those shortcomings are to be addressed in the next design of our CNN emulator - RTCNNP-v3, which will increase the range of applications and enable the implementation to match the requirements of the cutting-edge movie production technologies like UHD (4K) and the future FUHD (8K).
Açıklama
Anahtar Kelimeler
Cellular neural networks, Field programmable gate arrays, Next generation networking, Educational institutions, Computed tomography, Arrays, Cellular neural nets, Image resolution, Next generation networks, Pipeline processing, Real-time systems, Video signal processing, Third-generation real-time cellular neural network emulator design, Next generation real-time cellular neural network processor, RTCNNP-v3 structure, RTCNNP-v2 structure, CNN implementation, Full-HD video image processing, Pipelined architecture, Spatial domain, External memory, Internal memory coding, Movie production technologies, FUHD
Kaynak
WoS Q Değeri
N/A
Scopus Q Değeri
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Cilt
Sayı
Künye
Yıldız, N., Cesur, E. & Tavşanoğlu, A. V. (2014). Design of a third generation real-time cellular neural network emulator. Paper presented at the 2014 14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA), 1-2. doi:10.1109/CNNA.2014.6888621
