Results 121 to 130 of about 805 (178)
Impact of Detailed Versus Generic Instructions on Fine-Tuned Language Models for Patient Discharge Instructions Generation: Comparative Statistical Analysis. [PDF]
Alqahtani M +4 more
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Bit-Level Construction for Multiplicative-Repetition-Based Non-Binary Polar Codes. [PDF]
Xu R, Chen P, Liu L, Zhu M, Bai B.
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Advancements in Radiology Report Generation: A Comprehensive Analysis. [PDF]
Mamdouh D +7 more
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Decoding of polar-coded OFDM systems over multipath fading channels with interleaving and channel state information. [PDF]
Wu M, Yu Y, Wan F, Lin Y, Li Y, Zheng Z.
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ClinicSum: Utilizing Language Models for Generating Clinical Summaries from Patient-Doctor Conversations. [PDF]
Neupane S +6 more
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GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270), 2002
We propose a new turbo code noncoherent detection scheme based on a novel a-priori probability processor (APP). Using this method, many turbo encoders can be used without a change in the code or in the modulation, and without a significant change in the structure of the iterative decoder.
J. Vainappel, E. Hardy, D. Raphaeli
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We propose a new turbo code noncoherent detection scheme based on a novel a-priori probability processor (APP). Using this method, many turbo encoders can be used without a change in the code or in the modulation, and without a significant change in the structure of the iterative decoder.
J. Vainappel, E. Hardy, D. Raphaeli
openaire +1 more source
Proceedings of IEEE International Symposium on Information Theory, 2002
The turbo-decoding algorithm can be viewed as a message passing procedure on a graph. We contrast the standard "forward-backward" turbo-decoding algorithm with a new "concurrent" algorithm that is suited to parallel implementation.
B.J. Frey, F.R. Kschischang, P.G. Gulak
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The turbo-decoding algorithm can be viewed as a message passing procedure on a graph. We contrast the standard "forward-backward" turbo-decoding algorithm with a new "concurrent" algorithm that is suited to parallel implementation.
B.J. Frey, F.R. Kschischang, P.G. Gulak
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2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512), 2004
Turbo codes are one of the most powerful error correcting codes. The VLSI implementation of Turbo codes for higher decoding speed requires use of parallel architectures. This paper explores the design spaces of both serial and parallel MAP decoders using graphical analysis.
null Yuping Zhang, K.K. Parhi
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Turbo codes are one of the most powerful error correcting codes. The VLSI implementation of Turbo codes for higher decoding speed requires use of parallel architectures. This paper explores the design spaces of both serial and parallel MAP decoders using graphical analysis.
null Yuping Zhang, K.K. Parhi
openaire +1 more source
Seamless Interconnection for Universal Services. Global Telecommunications Conference. GLOBECOM'99. (Cat. No.99CH37042), 2003
Noncoherent sequence detection schemes for any coded modulation format have been previously proposed by the authors, which deliver hard decisions by means of a Viterbi algorithm. The current trend in digital transmission towards iterative decoding algorithms motivates an extension of these schemes.
G. Colavolpe, G. Ferrari, R. Raheli
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Noncoherent sequence detection schemes for any coded modulation format have been previously proposed by the authors, which deliver hard decisions by means of a Viterbi algorithm. The current trend in digital transmission towards iterative decoding algorithms motivates an extension of these schemes.
G. Colavolpe, G. Ferrari, R. Raheli
openaire +1 more source
2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484), 2003
The memory requirement for the uniform quantization turbo decoder is very large. The nonuniform quantization provides better or identical performance than the uniform scheme. But it is inconvenient for the latter to implement with the hardware circuits.
null Kai Niu, null Wei Ling Wu
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The memory requirement for the uniform quantization turbo decoder is very large. The nonuniform quantization provides better or identical performance than the uniform scheme. But it is inconvenient for the latter to implement with the hardware circuits.
null Kai Niu, null Wei Ling Wu
openaire +1 more source

