Instructor:
Shayan G. Srinivasa,
[Wednesday, Friday 11 am – 12.30 pm, DESE auditorium]
Pre-requisities:
A strong undergraduate foundation in electrical sciences/electronics engineering or consent of the instructor. M.Sc students in physics/mathematics are strongly encouraged to enroll.
Co-requisites: None
Catalog: A lecture type treatment of the principles and techniques in magnetic recording and optical recording systems.
Grading Policy:
Home works, Mid-term exam, course projects, Final exam.
Description:
This course is a comprehensive treatment of signal processing and coding for data recording channels.
Introduction: Review of basic principles behind the physics of magnetic recording, super paramagnetic limits, technological trends in magnetic storage/optical systems, recording schemes in magnetic and optical devices.
Signal Modeling: Communication theoretic framework of read/write channels. Models for analog read back signal with inter-symbol interference, noise and distortion sources, notion of channel and user bit densities towards SNR definition.
Signal Processing Methods: Equalization and timing recovery, PLLs, ML based timing recovery methods, Detection techniques based on the BCJR algorithm and its low complexity variations, turbo-equalization methods.
Coding Techniques: Introduction to constrained modulation codes, review of algebraic and graphical coding techniques, interleaving mechanisms and analysis of the code performance.
Some hardware related aspects for realizing signal processing algorithms towards high speed Silicon will be covered towards the end of the course.
Text Book:
There is no text book for this course. Lecture notes, papers and on-line materials will be supplied.
Reference Materials:
[1] J. W. M. Bergmans, Digital Baseband Transmission and Recording, Kluwer Academic Press, 1996
[2] B. Vasic and E. Kurtas, Coding and Signal Processing for Magnetic Recording Systems, CRC Press, 2004.
Homeworks
Exams
Project