Abstract
Wavelets provide a new tool employing digital signal process. The purpose of this paper is to introduce wavelet transform and its construction, partial characteristics and to describe new results from the application of the wavelet transform in forestry.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
1992
1994
1993: (7)
1991, Vol. 20, No.3
Maric Farge. 1992,Vol.22, No.3; No.4
I. Daubechies. 1990. IEEE Trans. IT. 36(5): 961–1005.
I. Daubechies. 1992. Philadelphia, Pennsylvania, Ten Lectures on Wavelets. Society for Industrial and Applied Mathematics
D. Newland. 1993. An Introduction to Random Vibration, Spectral and Wavelet Analysis. Longman Scientific & Technical
Mallat S. 1991. Zero-Crossings of a Wavelet Transform. IEEE Trans. on Information Theory, 37(4): 1019–1033
Stephane G. Mallat. 1989. Multifrequency Channel Decompositions of Images and Wavelet Models. IEEE Transaction on Acoustics. Speech and Signal Processing, Vol. 37. No. 12
David E. 1993. Newlad. Structural Dynamics and Vibration. PD-Vol. 52
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Yuanhu, D. Wavelet analysis and its application in forestry. J. Northeast For. Univ. 7, 81–84 (1996). https://doi.org/10.1007/BF02843063
Issue Date:
DOI: https://doi.org/10.1007/BF02843063