In this work, we firstly apply support vector machine (SVM) detector in 122-Gbps Multi-CAP system. It can de-map the rotated constellations directly without any correction. The concrete simulations indicate such a machine-learning based detector provides considerable BER reduction for high-density CAPs in low-frequency band, compared with hard decision
Support Vector Machine (SVM) is a statistical learning tool developed to a more complex concept of s...
With the rapid development of optical communication systems, more advanced techniques conventionally...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
The algorithm and the results of a nonlinear detector using a machine learning technique called supp...
A support vector machine (SVM)-based data detection for 8-superposed pulse amplitude modulation in v...
A support vector machine (SVM)-based data detection for 8-superposed pulse amplitude modulation and ...
We demonstrated a support vector machine (SVM) based machine learning method to mitigate modulation ...
Reducing Bit Error Ratio (BER) and improving performance of modern coherent optical communication sy...
The fiber optical network offers high speed, large bandwidth, and a high degree of reliability. Howe...
Modulation nonlinearity can severely distort multi-level modulation, and signal processing to mitiga...
Reduction of bit error rates in optical transmission systems is an important task that is difficult ...
In coherent optical communication systems, where multiple modulation formats are mixed and variable,...
Nowadays, underwater visible light communication (UVLC) has become one of the key technologies for h...
Free space optical (FSO) communication offers huge bandwidth, license-free spectrum and a more secur...
Based on the feature extraction of multidimensional asynchronous delay-tap plot entropy (ADTPE) and ...
Support Vector Machine (SVM) is a statistical learning tool developed to a more complex concept of s...
With the rapid development of optical communication systems, more advanced techniques conventionally...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...
The algorithm and the results of a nonlinear detector using a machine learning technique called supp...
A support vector machine (SVM)-based data detection for 8-superposed pulse amplitude modulation in v...
A support vector machine (SVM)-based data detection for 8-superposed pulse amplitude modulation and ...
We demonstrated a support vector machine (SVM) based machine learning method to mitigate modulation ...
Reducing Bit Error Ratio (BER) and improving performance of modern coherent optical communication sy...
The fiber optical network offers high speed, large bandwidth, and a high degree of reliability. Howe...
Modulation nonlinearity can severely distort multi-level modulation, and signal processing to mitiga...
Reduction of bit error rates in optical transmission systems is an important task that is difficult ...
In coherent optical communication systems, where multiple modulation formats are mixed and variable,...
Nowadays, underwater visible light communication (UVLC) has become one of the key technologies for h...
Free space optical (FSO) communication offers huge bandwidth, license-free spectrum and a more secur...
Based on the feature extraction of multidimensional asynchronous delay-tap plot entropy (ADTPE) and ...
Support Vector Machine (SVM) is a statistical learning tool developed to a more complex concept of s...
With the rapid development of optical communication systems, more advanced techniques conventionally...
Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-ov...