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1
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0034187786
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Underwater target classification using wavelet packets and neural network
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May
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M. R. Azimi-Sadjadi, D. Yao, Q. Huang, and G. J. Dobeck, "Underwater target classification using wavelet packets and neural network," IEEE Trans. Neural Networks, vol. 11, pp. 784-794, May 2000.
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(2000)
IEEE Trans. Neural Networks
, vol.11
, pp. 784-794
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Azimi-Sadjadi, M.R.1
Yao, D.2
Huang, Q.3
Dobeck, G.J.4
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2
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0038780087
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Comparison of different classification paradigms for underwater target discrimination
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D. Li, M. R. Azimi-Sadjadi, and G. J. Dobeck, "Comparison of different classification paradigms for underwater target discrimination," To Appear In IEEE Trans. Neural Networks.
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IEEE Trans. Neural Networks
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Li, D.1
Azimi-Sadjadi, M.R.2
Dobeck, G.J.3
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3
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0036740286
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Underwater target classification in changing environments using an adaptive feature mapping
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Sept.
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M. R. Azimi-Sadjadi, D. Yao, A. Jamshidi, and G. J. Dobeck, "Underwater target classification in changing environments using an adaptive feature mapping," IEEE Trans. Neural Networks, vol. 13, pp. 1099-1111, Sept. 2002.
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(2002)
IEEE Trans. Neural Networks
, vol.13
, pp. 1099-1111
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Azimi-Sadjadi, M.R.1
Yao, D.2
Jamshidi, A.3
Dobeck, G.J.4
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4
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0036662058
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Comparison of effects of sonar bandwidth for underwater target classification
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July
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M. R. Azimi-Sadjadi, D. Yao, D. Li, A. Jamshidi, and G. J. Dobeck, "Comparison of effects of sonar bandwidth for underwater target classification," IEEE J. Oceanic Engineering, vol. 27, pp. 619-627, July 2002.
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(2002)
IEEE J. Oceanic Engineering
, vol.27
, pp. 619-627
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Azimi-Sadjadi, M.R.1
Yao, D.2
Li, D.3
Jamshidi, A.4
Dobeck, G.J.5
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5
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0038648167
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A biologically inspired adaptive underwater target classification using a multi-aspect decision feedback unit
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Oct.
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M. R. Azimi-Sadjadi, M. Robinson, A. Jamshidi, and G. J. Dobeck, "A biologically inspired adaptive underwater target classification using a multi-aspect decision feedback unit," Oceans 2002 MTS/IEEE, vol. 1, pp. 38-45, Oct. 2002.
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(2002)
Oceans 2002 MTS/IEEE
, vol.1
, pp. 38-45
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Azimi-Sadjadi, M.R.1
Robinson, M.2
Jamshidi, A.3
Dobeck, G.J.4
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6
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0037633619
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A canonical correlation-based feature extraction method for underwater target classification
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Oct.
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A. Pezeshki, M. R. Azimi-Sadjadi, L. L. Scharf, and M. Robinson, "A canonical correlation-based feature extraction method for underwater target classification," Oceans 2002 MTS/IEEE, vol. 1, pp. 29-36, Oct. 2002.
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(2002)
Oceans 2002 MTS/IEEE
, vol.1
, pp. 29-36
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Pezeshki, A.1
Azimi-Sadjadi, M.R.2
Scharf, L.L.3
Robinson, M.4
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7
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1542775949
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Different multi-aspect fusion systems for underwater target classification
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Master Thesis, Colorado State University, Fort Collins, CO 80523-1373, USA. Feb.
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M. Robinson, "Different multi-aspect fusion systems for underwater target classification," Master Thesis, Colorado State University, Fort Collins, CO 80523-1373, USA. Feb. 2002.
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(2002)
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Robinson, M.1
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8
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0033886042
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Canonical coordinates and the geometry of inference, rate, and capacity
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March
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L. L. Scharf and C. T. Mullis, "Canonical coordinates and the geometry of inference, rate, and capacity," IEEE Trans. on Signal Processing, vol. 48, pp. 824-831, March 2000.
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(2000)
IEEE Trans. on Signal Processing
, vol.48
, pp. 824-831
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Scharf, L.L.1
Mullis, C.T.2
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9
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0032023788
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Wiener filters in canonical coordinates for transform coding, filtering, and quantizing
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March
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L. L. Scharf and J. T. Thomas, "Wiener filters in canonical coordinates for transform coding, filtering, and quantizing," IEEE Trans. on Signal Processing, vol. 46, pp. 647-654, March 1998.
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(1998)
IEEE Trans. on Signal Processing
, vol.46
, pp. 647-654
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Scharf, L.L.1
Thomas, J.T.2
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11
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1542461151
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Two-channel constrained least squares problems: Solutions using power methods and connections with canonical coordinates
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April
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A. Pezeshki, L. L. Scharf, M. R. Azimi-Sadjadi, and Y. Hua. "Two-channel constrained least squares problems: Solutions using power methods and connections with canonical coordinates," Submitted to IEEE Trans. Signal Processing, April 2003.
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(2003)
IEEE Trans. Signal Processing
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Pezeshki, A.1
Scharf, L.L.2
Azimi-Sadjadi, M.R.3
Hua, Y.4
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13
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0141577169
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Applied Research Lab, University of Texas, Austin, USA, Manual
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ARL-UT, "Target data acquisition setup," Applied Research Lab, University of Texas, Austin, USA, Manual.
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Target Data Acquisition Setup
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15
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0003408420
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Cambridge, MA: MIT Press
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B. Schölkopf and A. J. Smola, Learning with Kernels, Support Vector Machines, Regularization, Optimization, and Beyond. Cambridge, MA: MIT Press, 2002.
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(2002)
Learning with Kernels, Support Vector Machines, Regularization, Optimization, and Beyond
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Schölkopf, B.1
Smola, A.J.2
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