Low-complexity high-performance multiscale error diffusion technique for digital halftoning

2007 ◽  
Vol 16 (1) ◽  
pp. 013010 ◽  
Author(s):  
Yik-Hing Fung
Keyword(s):  
High Performance ◽  
Low Complexity ◽  
Error Diffusion ◽  
Digital Halftoning ◽  
Diffusion Technique

Row-oriented multiscale error diffusion technique for digital halftoning

2001 ◽  
Vol 37 (10) ◽  
pp. 626 ◽  
Author(s):  
Yuk-Hee Chan ◽  
Sin-Ming Cheung
Keyword(s):  
Error Diffusion ◽  
Digital Halftoning ◽  
Diffusion Technique

A multiscale error diffusion technique for digital halftoning

1997 ◽  
Vol 6 (3) ◽  
pp. 483-490 ◽  
Author(s):  
I. Katsavounidis ◽  
C.-C. Jay Kuo
Keyword(s):  
Error Diffusion ◽  
Digital Halftoning ◽  
Diffusion Technique

scholarly journals High Area-Efficient Parallel Encoder with Compatible Architecture for 5G LDPC Codes

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 700
Author(s):  
Yufei Zhu ◽  
Zuocheng Xing ◽  
Zerun Li ◽  
Yang Zhang ◽  
Yifan Hu
Keyword(s):  
High Performance ◽  
Ldpc Codes ◽  
Low Complexity ◽  
Cmos Technology ◽  
Area Efficiency ◽  
Prior Art ◽  
New Radio ◽  
High Area ◽  
Significant Area ◽  
Area Efficient

This paper presents a novel parallel quasi-cyclic low-density parity-check (QC-LDPC) encoding algorithm with low complexity, which is compatible with the 5th generation (5G) new radio (NR). Basing on the algorithm, we propose a high area-efficient parallel encoder with compatible architecture. The proposed encoder has the advantages of parallel encoding and pipelined operations. Furthermore, it is designed as a configurable encoding structure, which is fully compatible with different base graphs of 5G LDPC. Thus, the encoder architecture has flexible adaptability for various 5G LDPC codes. The proposed encoder was synthesized in a 65 nm CMOS technology. According to the encoder architecture, we implemented nine encoders for distributed lifting sizes of two base graphs. The eperimental results show that the encoder has high performance and significant area-efficiency, which is better than related prior art. This work includes a whole set of encoding algorithm and the compatible encoders, which are fully compatible with different base graphs of 5G LDPC codes. Therefore, it has more flexible adaptability for various 5G application scenarios.

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