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- Yeo-Sun Yoon, Lance M. Kaplan, James H. McClellan
- IEEE Transactions on Signal Processing
- 2006

This paper introduces a new direction-of-arrival (DOA) estimation algorithm for wideband sources called test of orthogonality of projected subspaces (TOPS). This new technique estimates DOAs by measuring the orthogonal relation between the signal and the noise subspaces of multiple frequency components of the sources. TOPS can be used with arbitrary shaped… (More)

- Lina J. Karamy, James H. McClellan
- 1995

| The alternation theorem is at the core of eecient real Chebyshev approximation algorithms. In this paper, the alternation theorem is extended from the real-only to the complex case. The complex FIR lter design problem is reformulated so that it clearly satisses the Haar condition of Chebyshev approximation. An eecient exchange algorithm is derived for… (More)

- Ali Cafer Gürbüz, James H. McClellan, Waymond R. Scott
- IEEE Transactions on Signal Processing
- 2009

A novel data acquisition and imaging method is presented for stepped-frequency continuous-wave ground penetrating radars (SFCW GPRs). It is shown that if the target space is sparse, i.e., a small number of point like targets, it is enough to make measurements at only a small number of random frequencies to construct an image of the target space by solving a… (More)

- Balu Santhanam, James H. McClellan
- IEEE Trans. Signal Processing
- 1996

- Ali Cafer Gürbüz, James H. McClellan, Volkan Cevher
- 2008 IEEE International Conference on Acoustics…
- 2008

Compressive sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compressible signals. This paper considers the direction-of-arrival (DOA) estimation problem with an array of sensors using CS. We show that by using random projections of the sensor… (More)

- Ali Cafer Gürbüz, James H. McClellan, Waymond R. Scott
- Signal Processing
- 2009

The theory of compressive sensing (CS) enables the reconstruction of sparse signals from a small set of non-adaptive linear measurements by solving a convex ‘1 minimization problem. This paper presents a novel data acquisition system for wideband synthetic aperture imaging based on CS by exploiting sparseness of pointlike targets in the image space. Instead… (More)

- Lina J. Karam, James H. McClellan
- Signal Processing
- 1999

- Balu Santhanam, James H. McClellan
- ICASSP
- 1995

- Lina J. Karam, James H. McClellan
- ISCAS
- 1994

- Volkan Cevher, Ali Cafer Gürbüz, James H. McClellan, Rama Chellappa
- 2008 IEEE International Conference on Acoustics…
- 2008

Joint processing of sensor array outputs improves the performance of parameter estimation and hypothesis testing problems beyond the sum of the individual sensor processing results. When the sensors have high data sampling rates, arrays are tethered, creating a disadvantage for their deployment and also limiting their aperture size. In this paper, we… (More)