Sciweavers

Share
210 search results - page 1 / 42
» An Introduction to Convex Optimization for Communications an...
Sort
View

Book
361views
10 years 9 months ago
Introduction to Statistical Signal Processing
"A random or stochastic process is a mathematical model for a phenomenon that evolves in time in an unpredictable manner from the viewpoint of the observer. The phenomenon m...
R.M. Gray
ICIP
2010
IEEE
8 years 10 months ago
Gradient projection for linearly constrained convex optimization in sparse signal recovery
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
Zachary T. Harmany, Daniel Thompson, Rebecca Wille...
SIAMJO
2008
104views more  SIAMJO 2008»
8 years 12 months ago
A Minimax Theorem with Applications to Machine Learning, Signal Processing, and Finance
This paper concerns a fractional function of the form xT a/ xT Bx, where B is positive definite. We consider the game of choosing x from a convex set, to maximize the function, an...
Seung-Jean Kim, Stephen P. Boyd
DAC
2004
ACM
10 years 1 months ago
Automated fixed-point data-type optimization tool for signal processing and communication systems
A tool that automates the floating-point to fixed-point conversion (FFC) process for digital signal processing systems is described. The tool automatically optimizes fixed-point d...
Changchun Shi, Robert W. Brodersen
books