The Karhunen-Loeve Transform, Digital Signal Analysis and the Information Theory
- Paper number
IAC-14,A4,1,6,x20613
- Author
Mr. Stephane Dumas, SETI League, Canada
- Year
2014
- Abstract
The field of Digital Signal Processing (DSP) is governed by the Fourier Analysis (FFT) in which each signal is assumed to be the summation of sine functions. The Karhunen-Loeve Transform (KLT) can also be used in analysis signal and removing noise from it. It is a more powerful method than FFT. This paper will illustrate the use of KLT in DSP. The eigenvalues associated to a stream of data can reveal the level of information contains in it. This paper will also present some results of the use of the KL Transform in field of the Information Theory.
- Abstract document
- Manuscript document
IAC-14,A4,1,6,x20613.pdf (🔒 authorized access only).
To get the manuscript, please contact IAF Secretariat.