Compressive Signal Processing
- Date: 01/14/2008
Lecturer(s):
Richard Baraniuk (Rice University)
Location:
University of British Columbia
Topic:
Sensors, signal processing hardware, and algorithms are under
increasing pressure to accommodate ever larger and higher-dimensional
data sets; ever faster capture, sampling, and processing rates; ever
lower power consumption; communication over ever more difficult
channels; and radically new sensing modalities. Fortunately, over the
past few decades, there has been an enormous increase in computational
power and data storage capacity, which provides a new angle to tackle
these challenges. We could be on the verge of moving from a
Other Information:
IAM - PIMS - MITACS DISTINGUISHED COLLOQUIUM SERIES