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- Darel A. Linebarger, Ronald D. DeGroat, Eric M. Dowling
- IEEE Trans. Signal Processing
- 1994

In this paper, we develop a general approach for reducing the computational complexity of any direction finding method implemented with forwardhackward (FB) averaging. We develop simplified FB data matrices in a manner paralleling previous work related to centrohermitian (correlation) matrices. Based on these simplified data matrices, efficient constructionâ€¦ (More)

- David T. Harper, Darel A. Linebarger
- IEEE Trans. Computers
- 1991

- Stephen Oh, Darel A. Linebarger, Bill Priest, Balaji Raghothaman
- ICASSP
- 1997

We present an empirical analysis of the fast affine projection (FAP) algorithm to be used in an acoustic echo cancellation application using a fixed point DSP processor. We also introduce a modified FAP algorithm that was developed based on our FAP study. Our analysis study shows that the modified FAP algorithm is more robust and provides more consistentâ€¦ (More)

- Darel A. Linebarger, Ivan Hal Sudborough, Ioannis G. Tollis
- IEEE Trans. Information Theory
- 1993

- M. S. McCorquodale, Badarinath Gupta, +11 authors D. Senderowicz
- 2010 IEEE International Frequency Controlâ€¦
- 2010

A monolithic and unpackaged silicon die is presented as a frequency source suitable for quartz crystal resonator (XTAL) and oscillator (XO) replacement. The frequency source is referenced to a free-running, frequency-trimmed and temperature-compensated 3GHz RF LC oscillator. A programmable divider array enables the device to provide frequencies ranging fromâ€¦ (More)

- Darel A. Linebarger, Ronald D. DeGroat, Eric M. Dowling, Petre Stoica, Gerald L. Fudge
- Signal Processing
- 1995

Constrained MUSIC and beamspace MUSIC are similar algorithms in that they both require a priori information about signal directions and they both involve linear transformations on the data. Constrained MUSIC uses precise information regarding the directions of a subset of the signal directions to improve the direction estimates for the remaining signals.â€¦ (More)

- Ronald D. DeGroat, Eric M. Dowling, Darel A. Linebarger
- IEEE Trans. Signal Processing
- 1993

- Neil J. Bershad, Darel A. Linebarger, Steve McLaughlin
- ICASSP
- 2001

This paper studies the statistical behavior of the Affine Projection (AP) algorithm for Î¼ = 1 for Gaussian Autoregressive inputs. This work extends the theoretical results of Rupp [3] to the numerical evaluation of the MSE learning curves for the adaptive AP weights. The MSE learning behavior of the AP(P+1) algorithm with an AR(Q) input (Q â‰¤ P) is shown toâ€¦ (More)

- Gerald L. Fudge, Darel A. Linebarger
- IEEE Trans. Signal Processing
- 1994

- Douglas Johnson, Chiyeko Tsuchitani, Darel A. Linebarger, Model Jay Johnson
- Hearing research
- 1986

A general point process theory is developed to describe discharges recorded from lateral superior olivary units of the cat responding to ipsilaterally presented tone bursts and continuous tones. Statistical analysis of the stationary portion of the sequence of interspike intervals demonstrated that, for most units, the duration of each interval isâ€¦ (More)