Polar Codes Are Optimal For Lossy Source Coding
Di: Zoey
Abstract— We consider lossy source compression of a binary symmetric source using polar codes and the low-complexity successive encoding algorithm. It was recently shown by Arıkan
Double Polar Codes for Joint Source and Channel Coding
We consider lossy source compression of a binary symmetric source with Hamming distortion function. We show that polar codes combined with a low-complexity successive cancellation The encoding as well as the decoding operation of polar codes can be implemented with O(N log N) complexity, where N is the blocklength of the code. We show that polar codes are suitable
Abstract—In this work, we investigate the simultaneous goodness of polar codes and polar lattices. The simultaneous goodness of a lattice or a code means that it is optimal for Polar codes have strongly entered into action within the standardization of the next generation 5G mobile communication systems, which are expected to be an enabling Abstract— We consider lossy source compression of a binary symmetric source using polar codes and the low-complexity successive encoding algorithm. It was recently shown by Arıkan
IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 56, NO. 4, APRIL 2010 1751 Polar Codes are Optimal for Lossy Source Coding Satish Babu Korada and Rüdiger L. Urbanke We consider lossy source compression of a binary symmetric source using polar codes and a low-complexity using polar codes and the successive encoding algorithm. It was recently shown by Arikan Abstract— We consider lossy source compression of a binary symmetric source with Hamming distortion function. We show that polar codes combined with a low-complexity successive can
Notes For more details, see Refs. [17, 18]. See Kaiserslautern database [19] and the pretty-good-codes database [20] for explicit representatives and benchmarking. Codes have been We explore other polar-like code constructions with better rates of decay. With this generalization, we show that close to exponential decays can be obtained for both channel and source coding.
- "Polar Codes are Optimal for Lossy Source Coding"
- Polar Codes and Polar Lattices for the Heegard-Berger Problem
- Polar Codes are Optimal for Lossy Source Coding
We consider lossy source compression of a binary symmetric source using polar codes and a low-complexity successive encoding algorithm. It was recently shown by Arikan that polar codes
Polar Codes for Channel and Source Coding
We consider lossy source compression of a binary symmetric source using polar codes and the O N log low-complexity successive encoding algorithm. It was recently shown by Arikan that polar
We consider lossy source compression of a binary symmetric source using polar codes and a low-complexity successive encoding algorithm. It was recently shown by Arikan We consider lossy source compression of a binary symmetric source using polar codes and a low-complexity symmetric source using polar successive encoding algorithm. It was recently shown by Arikan that polar codes We consider lossy source compression of a binary symmetric source using polar codes and a low-complexity successive encoding algorithm. It was recently shown by Arikan that polar codes
Abstract Classical source polar codes require the construction of frozen sets for given sources. While this scheme offers excellent theoretical performance, it faces challenges We for Lossy Source consider lossy source compression of a binary symmetric source using polar codes and the low-complexity successive encoding algorithm. It was recently shown by Arikan that polar
We consider lossy source compression of a binary symmetric source with Hamming distortion on Polar Codes are Optimal function. We show that polar codes combined with a low-complexity successive cancellation
Polar codes are optimal for lossy source coding
Supporting: 3, Mentioning: 228 – Abstract-We consider lossy source compression of a binary symmetric source with Hamming distortion function. We show that polar codes combined with Polar codes, proposed by Arıkan in [5], have been widely studied due to their achievability of source with Hamming distortion the Shannon bounds in both channel and source coding problems, with low complex-ity. Polar We consider lossy source compression of a binary symmetric source using polar codes and the low-complexity successive encoding algorithm. It was recently shown by Arikan that polar
Bibliographic details on Polar Codes are Optimal for Lossy Source Coding
We consider lossy source compression of a binary symmetric source with Hamming distortion codes We function. We show that polar codes combined with a low-complexity successive cancellation
Since the polarization phenomenon also exists in the source, polar codes are applied in the field of source coding, including lossless source polar coding [14], [15] and lossy Abstract— Polar codes, introduced recently by Arıkan, are the first family of codes known to achieve capacity of symmetric channels using a low complexity successive cancellation Polar codes, combined with successive cancellation algorithms, are known to be asymptotically optimal for both the channel as well as the lossy source coding problem. The
We consider lossy source compression of a binary symmetric source using polar codes and the low-complexity successive encoding algorithm. It was recently shown by Arikan that polar We lossy source compression of a consider lossy source compression of a binary symmetric source using polar codes and a low-complexity successive encoding algorithm. It was recently shown by Arikan that polar codes
We consider lossy source compression of a binary symmetric source using polar codes and a low-complexity successive encoding algorithm. It was recently shown by Arikan that polar codes source using polar We consider lossy source compression of a binary symmetric source using polar codes and the low-complexity successive encoding algorithm. It was recently shown by Arikan that polar
Abstract-We consider lossy source compression of a binary symmetric source with Hamming distortion function. We show that polar codes combined with a low-complexity successive In this paper lossless compression with polar codes is considered. A polar encoding algorithm is developed and a method to design the code and compute the average