-
3
-
-
6444240823
-
A line in the sand: a wireless sensor network for target detection, classification, and tracking
-
Arora A., et al. A line in the sand: a wireless sensor network for target detection, classification, and tracking. Computer Networks Journal 46 5 (2004) 605-634
-
(2004)
Computer Networks Journal
, vol.46
, Issue.5
, pp. 605-634
-
-
Arora, A.1
-
4
-
-
33645118754
-
-
A. Arora et al., ExScal: elements of an extreme scale wireless sensor network, in: Proceedings of the Eleventh IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, August 17-19, 2005, pp. 102-108.
-
-
-
-
5
-
-
34447264532
-
-
L. Gu et al., Lightweight detection and classification for wireless sensor networks in realistic environments, in: Proceedings of the Third ACM Conference on Embedded Networked Sensor Systems (SenSys'05).
-
-
-
-
7
-
-
34447256160
-
-
Crossbow Technology Inc., www.xbow.com.
-
-
-
-
9
-
-
0033697382
-
Problems in seismic detection and tracking
-
Succi G., Prado G., Gampert R., Pedersen T., and Dhaliwal H. Problems in seismic detection and tracking. Proceedings of the SPIE 4040 (2000) 165
-
(2000)
Proceedings of the SPIE
, vol.4040
, pp. 165
-
-
Succi, G.1
Prado, G.2
Gampert, R.3
Pedersen, T.4
Dhaliwal, H.5
-
10
-
-
0036438201
-
Detection and classification of time-critical targets using seismic sensors
-
Mayoral A., McCool I., and Gramann R. Detection and classification of time-critical targets using seismic sensors. Proceedings of the SPIE 4743 (2002) 80
-
(2002)
Proceedings of the SPIE
, vol.4743
, pp. 80
-
-
Mayoral, A.1
McCool, I.2
Gramann, R.3
-
12
-
-
2142761196
-
Application of micro-accelerometer in target recognition
-
Lan J., Nahavandi S., and Lan T. Application of micro-accelerometer in target recognition. Proceedings of the SPIE 5344 (2004) 175
-
(2004)
Proceedings of the SPIE
, vol.5344
, pp. 175
-
-
Lan, J.1
Nahavandi, S.2
Lan, T.3
-
13
-
-
13444309710
-
-
V. Porto, L. Fogel, D. Fogel, Using evolutionary computation for seismic signal detection: a homeland security application, in: IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, Venice, Italy, July 2004.
-
-
-
-
14
-
-
10044270950
-
A low-noise MEMS accelerometer for unattended ground sensor applications
-
Speller K., and Yu D. A low-noise MEMS accelerometer for unattended ground sensor applications. Proceedings of the SPIE 5417 (2004) 63-72
-
(2004)
Proceedings of the SPIE
, vol.5417
, pp. 63-72
-
-
Speller, K.1
Yu, D.2
-
15
-
-
34447281317
-
-
J. Scholl, J. Agre, L. Clare, Wavelet packet based target classification schemes, in: Proceedings of the 1998 Meeting of the IRIS Specialty Group on Acoustic and Seismic Sensing, APL/Johns Hopkins University, Laurel MD, 29-30 September and 1 October 1998.
-
-
-
-
17
-
-
0036288091
-
-
Y. Tian, H. Qi, Target detection and classification using seismic signal processing in unattended ground sensor systems, in: International Conference on Acoustics Speech and Signal Processing (ICASSP), vol. 4, Orlando, FL, May, 2002, pp. 4172.
-
-
-
-
18
-
-
85032751970
-
Detection, classification and tracking of targets
-
Li D., Wong K., Hu Y., and Sayeed A. Detection, classification and tracking of targets. IEEE Signal Processing Magazine 19 2 (2002) 17-29
-
(2002)
IEEE Signal Processing Magazine
, vol.19
, Issue.2
, pp. 17-29
-
-
Li, D.1
Wong, K.2
Hu, Y.3
Sayeed, A.4
-
19
-
-
34447262165
-
-
W. Roberts et al., Ground vehicle classification using hidden Markov Models, Report, 4 October 2001.
-
-
-
-
22
-
-
34447254080
-
-
A. Mitra, A. Banerjee, W. Najjar, D. Zeinalipour-Yazti, V. Kalogeraki, D. Gunopulos, High Performance, Low Power Sensor Platforms Featuring Gigabyte Scale Storage, SenMetrics 2005, July 2005, San Diego, CA.
-
-
-
-
23
-
-
34547378650
-
-
G. Mazarakis, J. Avaritsiotis, Lightweight Time Encoded Signal Processing for Vehicle Recognition in Sensor Networks, in: 2nd Conference Ph.D. Research in Microelectronics and Electronics - (PRIME 2006), Otranto, Italy, 12-15 June, 2006.
-
-
-
-
24
-
-
0017985855
-
Time Encoded Speech
-
King R., and Gosling W. Time Encoded Speech. Electronics Letters 14 15 (1978) 456-457
-
(1978)
Electronics Letters
, vol.14
, Issue.15
, pp. 456-457
-
-
King, R.1
Gosling, W.2
-
25
-
-
0022873193
-
-
J. Holbeche, R. Hughes, R. King, Time encoded speech (TES) descriptors as a symbol feature set for voice recognition systems, in: IEE International Conference On Speech Input/Output; Techniques And Applications, London, March 1986, pp. 310-315.
-
-
-
-
26
-
-
34447286258
-
-
R. King, TESPAR/FANN: An effective new capability for voice verification in the defense environment, Royal Aeronautical Society Conference on the Role of Intelligent Systems in Defense, London, March 1995, pp. 5.1-5.8.
-
-
-
-
27
-
-
34447250362
-
-
R. King, T. Phipps, Shannon, TESPAR and Approximation Strategies, ICSPAT 98, vol. 2, Toronto, Canada, September 1998, pp. 1204-1212.
-
-
-
-
28
-
-
34447268233
-
-
CASCADE Esprit Project EP8670 Data Sheet, 1995.
-
-
-
-
29
-
-
34447273854
-
-
T. Phipps, R. King, A low-power, low-complexity, low-cost, TESPAR-based architecture for the real-time classification of speech and other band-limited signals, in: Proceedings of the International Conference on Signal Processing Applications and Technology, Dallas, USA, 16-19 October 2000.
-
-
-
-
30
-
-
85067476356
-
-
L. Joubert et al., Speech recognition using TES symbols, in: Proceedings of the South African Symposium on Communications and Signal Processing, 1991, pp. 116-119.
-
-
-
-
31
-
-
0035245077
-
Speaker identification for security systems using reinforcement-trained pRAM neural network architectures
-
Clarkson T., et al. Speaker identification for security systems using reinforcement-trained pRAM neural network architectures. IEEE Transactions on Systems, Man, and Cybernetics; PART C: Applications & Reviews 31 1 (2001) 65-76
-
(2001)
IEEE Transactions on Systems, Man, and Cybernetics; PART C: Applications & Reviews
, vol.31
, Issue.1
, pp. 65-76
-
-
Clarkson, T.1
-
32
-
-
34447263348
-
-
Whee Kian Lee, Speech recognition using TESPAR and neural networks, Thesis, May 2003.
-
-
-
-
33
-
-
84869400286
-
-
E. Lupu et al., On the speaker verification using the TESPAR coding method, in: IEEE Proceedings of International Symposium on Signals, Circuits and Systems, Iassy, Romania, 10-11 July 2003, pp. 173-176.
-
-
-
-
35
-
-
34447279959
-
-
E. Lupu et al., Low complexity speaker recognition system developed on the DSP TMS320C541 Board, in: SPECOM' 2004: Ninth Conference Speech and Computer, Saint-Petersburg, Russia, September 20-22, 2004, SPIIRAS, ISCA Archive.
-
-
-
-
37
-
-
0012778209
-
Effects of differentiation, integration, and infinite peak clipping upon the intelligibility of speech
-
Licklidder J., and Pollack I. Effects of differentiation, integration, and infinite peak clipping upon the intelligibility of speech. Journal of the Acoustical Society of America 20 1 (1948) 42-51
-
(1948)
Journal of the Acoustical Society of America
, vol.20
, Issue.1
, pp. 42-51
-
-
Licklidder, J.1
Pollack, I.2
-
38
-
-
0027810749
-
Detection and location of internal defects in the insulation of power transformers
-
Fuhr J., Haessig M., Boss P., Tschudi D., and King R. Detection and location of internal defects in the insulation of power transformers. IEEE Transactions on Electrical Insulation 28 6 (1993) 1057-1067
-
(1993)
IEEE Transactions on Electrical Insulation
, vol.28
, Issue.6
, pp. 1057-1067
-
-
Fuhr, J.1
Haessig, M.2
Boss, P.3
Tschudi, D.4
King, R.5
-
39
-
-
0028733795
-
-
W. Lucking, M. Darnell, E. Chesmore, Acoustical condition monitoring of a mechanical gearbox using artificial neural networks, IEEE Conference on Neural Networks, Orlando, FL, 1994.
-
-
-
-
40
-
-
0035546670
-
Application of time domain signal coding and artificial neural networks to passive acoustical identification of animals
-
Chesmore E. Application of time domain signal coding and artificial neural networks to passive acoustical identification of animals. Journal of Applied Acoustics 62 (2001) 1359-1374
-
(2001)
Journal of Applied Acoustics
, vol.62
, pp. 1359-1374
-
-
Chesmore, E.1
-
41
-
-
3242655600
-
Automated identification of field-recorded songs of four British grasshoers using bioacoustic signal recognition
-
Chesmore E., and Ohya E. Automated identification of field-recorded songs of four British grasshoers using bioacoustic signal recognition. Bulletin of Entomological Research 94 4 (2004) 319-330
-
(2004)
Bulletin of Entomological Research
, vol.94
, Issue.4
, pp. 319-330
-
-
Chesmore, E.1
Ohya, E.2
-
42
-
-
33745809855
-
Musical instrument recognition and classification using time encoded signal processing and fast artificial neural networks
-
Mazarakis G., Tzevelekos P., and Kouroupetroglou G. Musical instrument recognition and classification using time encoded signal processing and fast artificial neural networks. Lecture Notes in Computer Science 3955 (2006) 246-255
-
(2006)
Lecture Notes in Computer Science
, vol.3955
, pp. 246-255
-
-
Mazarakis, G.1
Tzevelekos, P.2
Kouroupetroglou, G.3
-
43
-
-
34447269742
-
-
S. Nissen, Implementation of a Fast Artificial Neural Network Library (FANN), Report, Department of Computer Science University of Copenhagen (DIKU), 31 October 2003.
-
-
-
-
44
-
-
34447268232
-
-
Fast Artificial Neural Network Library (fann): http://sourceforge.net/projects/fann/.
-
-
-
-
45
-
-
20844436880
-
-
S. Bhatti et al., MANTIS OS: An Embedded Multithreaded Operating System for Wireless Micro Sensor Platforms, ACM/Kluwer Mobile Networks and applications (MONET), Special Issue on Wireless Sensor Networks, vol. 10, no. 4, August 2005 pp. 563-579.
-
-
-
-
46
-
-
0036440892
-
-
Merrill, W., Sohrabi, K., Girod, L., Elson, J., Newberg, F., Kaiser, W., open standard development platforms for distributed sensor networks, Proceedings of SPIE - Unattended Ground Sensor Technologies and Applications IV, vol. 4743, 2002, pp. 327-337.
-
-
-
-
48
-
-
34447274542
-
-
Atmel Corporation: www.atmel.com.
-
-
-
-
49
-
-
34447258202
-
-
Maxim/Dallas Semiconductor: www.maxim-ic.com.
-
-
-
|