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pro vyhledávání: '"Shridhar Devamane"'
Autor:
Rajeshwari L. Itagi, Shridhar Devamane
Publikováno v:
Journal of King Saud University - Computer and Information Sciences. 34:2666-2679
Application of deep learning to error control coding is gaining special attention and neural network architectures on decoding are approached to compare with conventional ones. Turbo codes conventionally use BCJR algorithm for decoding. In this paper
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030876869
Recognizing activity specifically humans, plays a vital role in security alarm systems, elder, fall detection, gesture recognition, smart home systems, and many other fields. Many researchers are being carried out for device-free activity recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::445a940e43e1e24548552c7f3f95d1b0
https://doi.org/10.1007/978-3-030-87687-6_3
https://doi.org/10.1007/978-3-030-87687-6_3
Autor:
Rajeshwari L. Itagi, Shridhar Devamane
Publikováno v:
2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT).
Turbo codes performance depends on various components like encoder, decoder and interleaver. The variation lies in the components with metrics of complexity and bit error rate. Interleaver is an important component of turbo code that plays a key role
Publikováno v:
International Journal of Technical Research & Science. 3
Autor:
Shridhar Devamane
Publikováno v:
IJIREEICE.