My Account | Careers | Downloads | Blog

PROJECT TITLE :

Performance Analysis of a New Calibration Method for Fiber Nonlinearity Compensation - 2018

ABSTRACT:

Digital Signal Processing for fiber nonlinearity compensation could be a key enabler for the ever-increasing demand for higher information rates in coherent optical transmissions. A major challenge of existing techniques is that the fiber nonlinear coefficient wants to be scaled properly throughout compensation in order to achieve the achievable signal quality increase. We have a tendency to solve this downside employing a low-complexity algorithm adaptively optimizing a metric based on the soft-call bitwise demodulator used for modern forward error correction decoders. An analytical model shows that the proposed theme converges to the optimal scaling factor with a predictable precision that is validated by numerical results.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Comparing Different Resampling Methods in Predicting Students Performance Using Machine Learning Techniques ABSTRACT: Predicting students' performance is one of the most valuable and important research areas in
PROJECT TITLE : Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification ABSTRACT: The problem of unbalanced data is common in network intrusion detection, spam filtering,
PROJECT TITLE : Deep Neural Networks Improve Radiologists Performance in Breast Cancer Screening ABSTRACT: To classify mammograms for breast cancer screening, we developed a deep convolutional neural network that was trained and
PROJECT TITLE : Predicting Detection Performance on Security X-Ray Images as a Function of Image Quality ABSTRACT: Research into how image quality impacts work performance is a hot topic in many industries. The security X-ray
PROJECT TITLE : A Novel Control Scheme for Enhancing the Transient Performance of an Islanded Hybrid AC-DC Microgrid ABSTRACT: In this research, we present an innovative supplementary feature for increasing the transient performance

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry