Add to ORKGImproving bit error rates in optical communication systems is a difficult and important problem. The error correction must take place at high speed and be extremely accurate. We show the feasibility of using hardware implementable machine learning techniques. This may enable some error correction at the speed required
This paper presents an adaptive background compensation technique designed to address analog impairm...
Optical data communication systems are prone to a variety of processes that modify the transmitted s...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
Improving bit error rates in optical communication systems is a difficult and important problem. The...
“The original publication is available at www.springerlink.com”. Copyright Springer [Full text of th...
Abstract. Improving bit error rates in optical communication systems is a difficult and important pr...
Machine learning techniques have proven very efficient in assorted classification tasks. Nevertheles...
Reduction of bit error rates in optical transmission systems is an important task that is difficult ...
In the current development of coherent optical communication systems, nonlinear noise is considered ...
Reducing Bit Error Ratio (BER) and improving performance of modern coherent optical communication sy...
The future demand for digital information will exceed the capabilities of current optical communicat...
In this paper, a post processing scheme is suggested for improvement of Bit Error-Rate (BER) in opti...
“The original publication is available at www.springerlink.com”. Copyright Springer [Full text of th...
A data augmentation technique to improve performance and decrease complexity of the supervised learn...
The fiber optical network offers high speed, large bandwidth, and a high degree of reliability. Howe...
This paper presents an adaptive background compensation technique designed to address analog impairm...
Optical data communication systems are prone to a variety of processes that modify the transmitted s...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
Improving bit error rates in optical communication systems is a difficult and important problem. The...
“The original publication is available at www.springerlink.com”. Copyright Springer [Full text of th...
Abstract. Improving bit error rates in optical communication systems is a difficult and important pr...
Machine learning techniques have proven very efficient in assorted classification tasks. Nevertheles...
Reduction of bit error rates in optical transmission systems is an important task that is difficult ...
In the current development of coherent optical communication systems, nonlinear noise is considered ...
Reducing Bit Error Ratio (BER) and improving performance of modern coherent optical communication sy...
The future demand for digital information will exceed the capabilities of current optical communicat...
In this paper, a post processing scheme is suggested for improvement of Bit Error-Rate (BER) in opti...
“The original publication is available at www.springerlink.com”. Copyright Springer [Full text of th...
A data augmentation technique to improve performance and decrease complexity of the supervised learn...
The fiber optical network offers high speed, large bandwidth, and a high degree of reliability. Howe...
This paper presents an adaptive background compensation technique designed to address analog impairm...
Optical data communication systems are prone to a variety of processes that modify the transmitted s...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...