Title :
Detection of signals with a fractal model
Author_Institution :
IBM Federal Syst. Co., Manassas, VA, USA
Abstract :
A common problem in signal processing is the detection of signals in noisy environments. The author presents a fractal model to detect signals where detection is linked to the geometric complexity of the signal. He illustrates the utility of this approach to different signal types such as sinusoids and speech. It is shown that this approach is extendible to detection of two-dimensional data, such as images, sonar, and radar
Keywords :
fractals; noise; signal detection; signal processing; fractal model; geometric complexity; images; noisy environments; radar; signal detection; signal processing; sinusoids; sonar; speech; two-dimensional data; Data mining; Fractals; Frequency domain analysis; Interpolation; Radar detection; Radar signal processing; Signal detection; Signal processing; Sonar detection; Working environment noise;
Conference_Titel :
Telesystems Conference, 1993. 'Commercial Applications and Dual-Use Technology', Conference Proceedings., National
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-1325-9
DOI :
10.1109/NTC.1993.292984
