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Vinay K. Ingle
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2010 – 2019
- 2019
- [j10]Dimitris Manolakis
, Nicholas Bosowski, Vinay K. Ingle
:
Count Time-Series Analysis: A Signal Processing Perspective. IEEE Signal Process. Mag. 36(3): 64-81 (2019) - 2017
- [c14]Nicholas Bosowski, Vinay K. Ingle, Dimitris G. Manolakis:
Generalized Linear Models for count time series. ICASSP 2017: 4272-4276 - 2016
- [j9]Rolando Herrero, Vinay K. Ingle:
Backward and forward linear prediction applied to ultraspectral image processing - Effects on rate-distortion. Signal Image Video Process. 10(4): 639-646 (2016) - [j8]Rolando Herrero, Vinay K. Ingle:
Ultraspectral image compression using two-stage prediction: Prediction gain and rate-distortion analysis. Signal Image Video Process. 10(4): 729-736 (2016) - 2015
- [j7]Rolando Herrero, Vinay K. Ingle:
Space-filling curves applied to compression of ultraspectral images - Performance evaluation and analytical modeling. Signal Image Video Process. 9(6): 1249-1257 (2015) - [c13]Eric Truslow, Michael Pieper, Vinay K. Ingle, Steven E. Golowich, Dimitris G. Manolakis:
Performance evaluation of a remote-sensing chemical identification algorithm. IGARSS 2015: 4448-4451 - 2014
- [j6]Rolando Herrero, Vinay K. Ingle:
Band ordering in compression of ultraspectral images - Performance improvement and comparative analysis. Signal Image Video Process. 8(2): 255-265 (2014) - [j5]Rolando Herrero, Vinay K. Ingle:
Lossy compression of ultraspectral images: integrating preprocessing and compression stages. Signal Image Video Process. 8(8): 1569-1580 (2014) - 2012
- [c12]Rolando Herrero, Vinay K. Ingle:
A New Preprocessing Stage for Compression of Ultraspectral Images. DCC 2012: 397 - 2010
- [c11]Sidi Niu, Vinay K. Ingle, Dimitris G. Manolakis, Thomas W. Cooley:
On the modeling of hyperspectral imaging data with elliptically contoured distributions. WHISPERS 2010: 1-4
2000 – 2009
- 2005
- [c10]Stephen Frechette, Vinay K. Ingle:
Gradient based multifocus video image fusion. AVSS 2005: 486-492
1990 – 1999
- 1993
- [j4]An-Loong Kok, Dimitris G. Manolakis, Vinay K. Ingle:
Symmetric noncausal spatial models for 2-D signals with applications in stochastic texture modeling. Multidimens. Syst. Signal Process. 4(2): 125-149 (1993) - [j3]Vassilios V. Digalakis
, Vinay K. Ingle, Dimitris G. Manolakis:
Three-dimensional linear prediction and its application to digital angiography. Multidimens. Syst. Signal Process. 4(4): 307-329 (1993) - [c9]Vassilis Digalakis, Dimitris G. Manolakis, Vinay K. Ingle, A. K. Kok:
Automatic adaptive constrast enhancement for radiological imaging. ISCAS 1993: 810-813 - 1992
- [j2]Vinay K. Ingle, John G. Proakis:
A DSP course based on lecture/lab integration. IEEE Signal Process. Mag. 9(4): 25-29 (1992) - [c8]Vinay K. Ingle, John G. Proakis:
A digital signal processing course based on lecture/laboratory integration. ICASSP 1992: 105-108 - 1991
- [c7]Mohamed Chellali, Vinay K. Ingle:
Adaptive image restoration using the multichannel recursive least squares algorithm. ICASSP 1991: 2521-2524
1980 – 1989
- 1989
- [c6]Xiancheng Yuan, Vinay K. Ingle:
An image coding algorithm based on a class of doubly stochastic image models. ICASSP 1989: 1838-1841 - 1988
- [j1]Mohamed Chellali, Vinay K. Ingle:
Multichannel approach to adaptive image restoration using the 2-D least squares algorithm. Neural Networks 1(Supplement-1): 485 (1988) - [c5]Xiancheng Yuan, Vinay K. Ingle, Dimitris G. Manolakis:
An adaptive image coding algorithm based on noncausal LPC and vector quantization. ICASSP 1988: 1172-1175 - 1987
- [c4]An-Loong Kok, Dimitris G. Manolakis, Vinay K. Ingle:
Efficient algorithms for 1-D and 2-D noncausal autoregressive system modelings. ICASSP 1987: 1977-1980 - 1980
- [c3]John W. Woods, Vinay K. Ingle, R. Hingorani, G. Juskovic:
Experimental comparison of reduced update Kalman filters and Wiener filters for two-dimensional LMMSE estimation. ICASSP 1980: 406-409
1970 – 1979
- 1979
- [c2]Vinay K. Ingle, John W. Woods:
Multiple model recursive estimation of images. ICASSP 1979: 642-645 - 1978
- [c1]John W. Woods, Vinay K. Ingle:
Two-dimensional processing of spectrogram data. ICASSP 1978: 39-42
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