Babak Hassibi - AILBRY - Article Search

Results for 'Babak Hassibi' :

Compressed sensing : theory and applications

Publication Year: 2012

DOI: DOI not available

Abstract:

Authors:
- Yonina C. Eldar
- Gitta Kutyniok
Advances in neural information processing systems 7

Publication Year: 1996

DOI: https://doi.org/10.1016/s0898-1221(96)90463-0

Abstract:

Authors:
- Authors not available
Least-mean-square adaptive filters

Publication Year: 2003

DOI: DOI not available

Abstract:

Authors:
- S. Haykin
- Bernard Widrow
A Note on the Secrecy Capacity of the Multiple-Antenna Wiretap Channel

Publication Year: 2009

DOI: https://doi.org/10.1109/tit.2009.2018322

Abstract:

Authors:
- Tie Liu
- Shlomo Shamai
On an output feedback finite-time stabilization problem

Publication Year: 2001

DOI: https://doi.org/10.1109/9.905699

Abstract:

Authors:
- Yigwruang Hong
- Jie Huang
- Yangsheng Xu
On the sphere-decoding algorithm I. Expected complexity

Publication Year: 2005

DOI: https://doi.org/10.1109/tsp.2005.850352

Abstract:

Authors:
- Babak Hassibi
- Haris Vikalo
On the Reconstruction of Block-Sparse Signals With an Optimal Number of Measurements

Publication Year: 2009

DOI: https://doi.org/10.1109/tsp.2009.2020754

Abstract:

Authors:
- Mihailo Stojnic
- Farzad Parvaresh
- Babak Hassibi
FIR filter design via semidefinite programming and spectral factorization

Publication Year: 2002

DOI: https://doi.org/10.1109/cdc.1996.574313

Abstract:

Authors:
- Shao-Po Wu
- Stephen Boyd
- Lieven Vandenberghe
New Faculty - The Division gains new faculty members, Babak Hassibi, Oskar Painter, and Rob Phillips

Publication Year: 2001

DOI: DOI not available

Abstract:

Authors:
- Marionne Epalle
Correlated Jamming on MIMO Gaussian Fading Channels

Publication Year: 2004

DOI: https://doi.org/10.1109/tit.2004.833358

Abstract:

Authors:
- Akshay Kashyap
- Tamer Başar
- R. Srikant
H/sup ∞/ optimality of the LMS algorithm

Publication Year: 1996

DOI: https://doi.org/10.1109/78.485923

Abstract:

Authors:
- Babak Hassibi
- Ali H. Sayed
- T. Kailath
Branch Flow Model: Relaxations and Convexification—Part II

Publication Year: 2013

DOI: https://doi.org/10.1109/tpwrs.2013.2255318

Abstract:

Authors:
- Masoud Farivar
- Steven H. Low
Applied and Computational Control, Signals, and Circuits

Publication Year: 1999

DOI: https://doi.org/10.1007/978-1-4612-0571-5

Abstract:

Authors:
- Biswa Nath Datta
Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D &#x2265; 2) off-the-grid frequencies

Publication Year: 2014

DOI: https://doi.org/10.1109/ita.2014.6804267

Abstract:

Authors:
- Weiyu Xu
- Jian‐Feng Cai
- Kumar Vijay Mishra
- Myung Cho
- Anton Kruger
Efficient and Robust Compressed Sensing Using Optimized Expander Graphs

Publication Year: 2009

DOI: https://doi.org/10.1109/tit.2009.2025528

Abstract:

Authors:
- Sina Jafarpour
- Weiyu Xu
- Babak Hassibi
- Robert Calderbank

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AILBRY - Article Search

Results for 'Babak Hassibi' :

Compressed sensing : theory and applications

Advances in neural information processing systems 7

Least-mean-square adaptive filters

A Note on the Secrecy Capacity of the Multiple-Antenna Wiretap Channel

On an output feedback finite-time stabilization problem

On the sphere-decoding algorithm I. Expected complexity

On the Reconstruction of Block-Sparse Signals With an Optimal Number of Measurements

FIR filter design via semidefinite programming and spectral factorization

New Faculty - The Division gains new faculty members, Babak Hassibi, Oskar Painter, and Rob Phillips

Correlated Jamming on MIMO Gaussian Fading Channels

H/sup ∞/ optimality of the LMS algorithm

Branch Flow Model: Relaxations and Convexification—Part II

Applied and Computational Control, Signals, and Circuits

Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D &amp;#x2265; 2) off-the-grid frequencies

Efficient and Robust Compressed Sensing Using Optimized Expander Graphs

What is Boolean Searches

Example Search

Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D ≥ 2) off-the-grid frequencies