PROJECT TITLE :

Robust Modulation of PWM-Based Multi-Level Perpendicular Magnetic Recording for Conventional Media - 2018

ABSTRACT:

During this letter, we propose a sturdy 3-ary modulation for a pulse width modulation (PWM)-based mostly multi-level perpendicular magnetic recording. In the proposed three-ary modulation, slim-width pulses are restrained in PWM signal equivalent to resolution of magnetic media. We have a tendency to evaluate a user bit density (UBD) gain in our proposal using a low-density parity-check (LDPC) coded frame error rate performance. An occasional-resolution media is assumed as scan/write (R/W) channel within the evaluation. Our simulation results show the proposed modulation has strong UBD gain compared with the traditional binary R/W systems within the low-resolution media. Similarly, our proposed 7B6T modulation with non-binary LDPC codes over GF(128) has more than 6percent density gain from the practical binary systems.


Did you like this research project?

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


PROJECT TITLE : Accurate and Robust Video Saliency Detection via Self-Paced Diffusion ABSTRACT: In order to estimate video saliency in the short term, traditional video saliency detection algorithms usually follow the common
PROJECT TITLE : Robust Lane Detection from Continuous Driving ScenesUsing Deep Neural Networks ABSTRACT: For autonomous vehicles and sophisticated driver assistance systems, lane recognition in driving scenes is a critical element.
PROJECT TITLE : Robust Unsupervised Multi-view Feature Learning with Dynamic Graph ABSTRACT: By modeling the affinity associations with a graph to lower the dimension, graph-based multi-view feature learning algorithms learn a
PROJECT TITLE : A Spatially Constrained Probabilistic Model for Robust Image Segmentation ABSTRACT: In probabilistic model based segmentation, the hidden Markov random field (HMRF) is used to describe the class label distribution
PROJECT TITLE : An Adaptive and Robust Edge Detection Method Based on Edge Proportion Statistics ABSTRACT: One of the most important preprocessing steps for high-level tasks in the field of image analysis and computer vision is

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

Project Enquiry