TY - GEN
T1 - Spectral estimation of digital signals by the orthogonal Kravchenko wavelets { ha(t)}
AU - Kravchenko, Victor
AU - Meana, Hector Perez
AU - Ponomaryov, Volodymyr
AU - Churikov, Dmitry
PY - 2009
Y1 - 2009
N2 - In this article, the approach based on the orthogonal Kravchenko wavelets { ha (t)} is proposed. There is shown that obtained structures have some advantages in comparison with spectral wave analysis of ultra wideband (UWB) signals that are widely used in the remote sensing. This approach based on application of wavelets as spectral kernels is considered in the problems of digital UWB signal processing. In communication theory, the signals are represented in the form of linear combination of elementary functions. Application of spectral analysis of UWB signals in basis of digital functions in comparison with the spectral harmonious analysis gives certain advantages which are defined by the physical nature of the signal representation. Optimal processing in spectral area in comparison with the time possesses has advantages on application of numerical algorithms. The physical characteristics and analysis of numerical experiment confirm efficiency of new wavelets in the spectral estimation and digital UWB signal processing.
AB - In this article, the approach based on the orthogonal Kravchenko wavelets { ha (t)} is proposed. There is shown that obtained structures have some advantages in comparison with spectral wave analysis of ultra wideband (UWB) signals that are widely used in the remote sensing. This approach based on application of wavelets as spectral kernels is considered in the problems of digital UWB signal processing. In communication theory, the signals are represented in the form of linear combination of elementary functions. Application of spectral analysis of UWB signals in basis of digital functions in comparison with the spectral harmonious analysis gives certain advantages which are defined by the physical nature of the signal representation. Optimal processing in spectral area in comparison with the time possesses has advantages on application of numerical algorithms. The physical characteristics and analysis of numerical experiment confirm efficiency of new wavelets in the spectral estimation and digital UWB signal processing.
KW - Atomic functions
KW - Digital ultra wideband signal processing
KW - Remote sensing
KW - Wavelets
UR - http://www.scopus.com/inward/record.url?scp=77954576567&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-10268-4_115
DO - 10.1007/978-3-642-10268-4_115
M3 - Contribución a la conferencia
SN - 3642102670
SN - 9783642102677
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 989
EP - 996
BT - Progress in Pattern Recognition, Image Analysis, Computer Vision and Applications - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Proceedings
T2 - 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009
Y2 - 15 November 2009 through 18 November 2009
ER -