Compression of correlated binary sources using turbo codes

By J. Garcia-Frías, Ying Zhao. IEEE Communications Letters, 2001

431 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/6e3da810748d174ccf2107591019ed318eaf6e40

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

Distributed source coding for sensor networks (2004, methodology): “was done in [28] for turbo and in [29] for LDPC codes, achieving performance better than in [ 14 , 26, 27]”
Efficient Compression of Encrypted Grayscale Images (2010, background): “, [5]–[9] (the reader is also referred to [10] for a comprehensive review).”
Information-Theoretically Secret Key Generation for Fading Wireless Channels (2009, methodology): “Considering the duality between Slepian-Wolf data compression and channel coding (e.g., [27], [35], [49], [20], [17], etc), the relationship between secrecy generation and data compression allows capacity-achieving channel codes, like Turbo codes or LDPC codes, to be used for the information…”
Compression of binary sources with side information at the decoder using LDPC codes (2002, methodology): “TABLE I COMPARISON OF [5] WITH OUR LEFT REGULAR LDPC CODE RESULTS”
Wyner-Ziv coding of motion video (2002, background): “Garcia-Frias and Zhao [4][5], Bajcsy and Mitran [6][7] and Aaron and Girod [8] showed that using turbo codes for compression can come close to the Slepian-Wolf bound.”
Distributed Video Coding (2005, positive): “This setting was considered, e.g., by Fleming, Zhao and Effros [48], who generalized the Lloyd algorithm [49] for locally optimal fixed-rate Wyner–Ziv vector quantization design.”
Compression with side information using turbo codes (2002, methodology): “We compare our results with those from [6] where a scheme using turbo codes was used for the symmetric distributed source coding scenario.”
Rate-adaptive codes for distributed source coding (2006, methodology): “The impressive potential of this approach has been demonstrated by various implementations of the system with turbo codes [8] [9] [10] and Low-Density Parity-Check (LDPC) codes [11].”