PROJECT OBJECTIVE:
The objective of this proposal is to research and develop error-correction
techniques and error-resilience approaches that will allow multimedia data, such
as speech and video, to be transmitted with high reliability over wireless
channels.
GENERAL DESCRIPTION:
When multimedia data such as images, video, speech and music are transmitted
over wireless channels, some information can be lost or received in error.
Error-correction methods try to selectively add redundancy to the transmitted
bit-stream so that the received data stream can be corrected if errors occur.
Error-resilience approaches try to mitigate the damage caused by an error. We
propose to conduct research on several error correction and error resilience
approaches. We will also study and implement them in two specific applications:
video compression and speech recognition, both of which are expected to be
significant applications of emerging wireless devices. The methods we propse to
study offer useful trade-offs in complexity, delay, and error-handling
performance. This research is expected to yield both theoretical insights as
well as practical algorithms for reliable transmission of multimedia sources
such as video, images and speech.
TECHNICAL ABSTRACT:
We propose a systematic study of several aspects of multimedia transmission
over noisy channels with the goal of improved robustness to errors. Since the
channels we will consider are not only noisy, but also suffer from
multipath/fading as well as interference, our research will focus on
combinations of techniques that result in error-resilient reception. These
techniques will include spread spectrum signaling as well as new
error-correction techniques (such as algebraic soft-decoding of Reed-Solomon
codes, turbo and LDPC codes with fast convergence, and iterative decoding of
analog codes on graphs) and new error-resilience approaches (such as optimal
index assignments for various sources and channels, and multiple frame
prediction for video compression). In addition, to ensure efficient transmission
over channels that experience multipath and/or multiple access interference, we
propose to investigate the optimal bandwith allocation between source coding,
channel coding, and spreading in CDMA systems. The particular applications on
which we will focus are video compression and speech recognition, which are
expected to be of paramount significance in emerging wireless devices.
PARTICIPATING FACULTY:
The following CWC faculty are participating in this research project: Pamela Cosman(lead PI),
Alon Orlitsky, Kenneth Zeger, Alexander Vardy, and Larry Milstein.
Affiliated Faculty
CoRe Research Projects