Title :
Quantization properties of structurally LBR networks
Author :
Green, Cary R. ; Szczupak, Jacques
Author_Institution :
Detec-Ditel, Manaus, AM, Brazil
Abstract :
A study is made of the quantization properties of structurally LBR networks. Low noise-sensitivity conditions are investigated, as well as low amplitude and absence of limit cycles in second-order canonical LBR structures. Quantization properties of second-order canonical structurally LBR networks are analyzed. These properties suggest that structurally LBR networks may be very useful in digital signal processing applications, not only for their computational efficiency but also for their adequate performance under quantization
Keywords :
digital circuits; digital filters; limit cycles; roundoff errors; sensitivity analysis; signal processing; digital signal processing applications; limit cycles; low noise sensitivity conditions; quantization properties; second-order canonical LBR structures; structurally LBR networks; Digital filters; Digital signal processing; Dynamic range; Filtering; Limit-cycles; Noise level; Poles and zeros; Quantization; Signal design; Transfer functions;
Conference_Titel :
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN :
0-7803-0050-5
DOI :
10.1109/ISCAS.1991.176065
