Multiple LDPC Code Combined with OVCDM to Improve Signal Coding Efficiency and Signal Transmission Effects

2021 ◽  
pp. 372-379
Author(s):  
Zhang Fan ◽  
Zhang Hong
Keyword(s):  
Signal Transmission ◽  
Ldpc Code ◽  
Coding Efficiency ◽  
Signal Coding

scholarly journals Joint Probabilistic-Nyquist Pulse Shaping for an LDPC-Coded 8-PAM Signal in DWDM Data Center Communications

2019 ◽  
Vol 9 (23) ◽  
pp. 4996 ◽  
Author(s):  
Han ◽  
Yang ◽  
Djordjevic ◽  
Yue ◽  
Wang ◽  
...  
Keyword(s):  
Wavelength Division Multiplexing ◽  
Spectral Efficiency ◽  
Data Center ◽  
Pulse Shaping ◽  
Direct Detection ◽  
Signal Transmission ◽  
Ldpc Code ◽  
Pulse Amplitude ◽  
Wavelength Division ◽  
Nyquist Pulse

M-ary pulse-amplitude modulation (PAM) meets the requirements of data center communication because of its simplicity, but coarse entropy granularity cannot meet the dynamic bandwidth demands, and there is a large capacity gap between uniform formats and the Shannon limit. The dense wavelength division multiplexing (DWDM) system is widely used to increase the channel capacity, but low spectral efficiency of the intensity modulation/direct detection (IM/DD) solution restricts the throughput of the modern DWDM data center networks. Probabilistic shaping distribution is a good candidate to offer us a fine entropy granularity and efficiently reduce the gap to the Shannon limit, and Nyquist pulse shaping is widely used to increase the spectral efficiency. We aim toward the joint usage of probabilistic shaping and Nyquist pulse shaping with low-density parity-check (LDPC) coding to improve the bit error rate (BER) performance of 8-PAM signal transmission. We optimized the code rate of the LDPC code and compared different Nyquist pulse shaping parameters using simulations and experiments. We achieved a 0.43 dB gain using Nyquist pulse shaping, and a 1.1 dB gain using probabilistic shaping, while the joint use of probabilistic shaping and Nyquist pulse shaping achieved a 1.27 dB gain, which offers an excellent improvement without upgrading the transceivers.

scholarly journals C-band PAM-4 signal transmission using soft-output MLSE and LDPC code

2019 ◽  
Vol 27 (1) ◽  
pp. 110 ◽  
Author(s):  
S.-R. Moon ◽  
H.-S. Kang ◽  
H. Y. Rha ◽  
J. K. Lee
Keyword(s):  
Signal Transmission ◽  
Ldpc Code

ECG SIGNAL CODING USING BIORTHOGONAL WAVELET-BASED BURROWS–WHEELER CODER

2011 ◽  
Vol 09 (02) ◽  
pp. 269-281 ◽  
Author(s):  
R. SHANTHA SELVA KUMARI ◽  
R. SURIYA PRABHA ◽  
V. SADASIVAM
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Ecg Signal ◽  
Biorthogonal Wavelet ◽  
Time Frequency ◽  
Ecg Signals ◽  
Coding Efficiency ◽  
Frequency Representation ◽  
Mean Square Difference ◽  
Signal Coding

Wavelets are the powerful tool for signal processing especially bio-signal processing. Wavelet transform is used to represent the signal to some other time frequency representation better suited for detecting and removing redundancies. In this paper, electrocardiogram (ECG) signal coding using biorthogonal wavelet-based Burrows–Wheeler Coder is discussed. Biorthogonal wavelet transform is used to decompose the ECG signal. Then the Burrows–Wheeler Coder is applied in order to compress the decomposed ECG signal. The Burrows–Wheeler Coder is the combination of Burrows–Wheeler Transformation (BWT), Move-to-Front (MTF) coder and Huffman coder. Compression Ratio (CR) and Percent Root mean square Difference (PRD) are used as performance measures. ECG signals/records from MIT-BIH arrhythmic database are used to evaluate the performance of this coder. This algorithm is tested with 25 different records from MIT-BIH arrhythmia database and obtained the average PRD as 0.0307% to 3.8706% for the average CR of 3.6362 : 1 to 280.48 : 1. For record 117, the CR of 8.1638 : 1 is achieved with PRD 0.1652%. This experimental results show that this coder outperforms other coders such as Djohn, EZW, SPIHT, Novel algorithm etc. that exist in the literature in terms of coding efficiency and computation.

Coding efficiency of multiring differential chain coding

1992 ◽  
Vol 139 (2) ◽  
pp. 224 ◽  
Author(s):  
A.B. Johannessen ◽  
R. Prasad ◽  
N.B.J. Weyland ◽  
J.H. Bons
Keyword(s):  
Coding Efficiency ◽  
Chain Coding

Performance Comparison between Turbo Code and Rate-Compatible LDPC Code for Evolved UTRA Downlink OFDM Radio Access

2009 ◽  
Vol E92-B (5) ◽  
pp. 1504-1515 ◽  
Author(s):  
Naoto OKUBO ◽  
Nobuhiko MIKI ◽  
Yoshihisa KISHIYAMA ◽  
Kenichi HIGUCHI ◽  
Mamoru SAWAHASHI
Keyword(s):  
Turbo Code ◽  
Ldpc Code ◽  
Performance Comparison ◽  
Radio Access
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