TY - GEN
T1 - Adaptive median thresholding for the generation of high-data-rate random-like unpredictable binary sequences with chaos
AU - Callegari, Sergio
AU - Dondini, Mirko
AU - Setti, Gianluca
N1 - Generated from Scopus record by KAUST IRTS on 2023-02-15
PY - 2001/12/1
Y1 - 2001/12/1
N2 - Chaos represents an effective method for the generation of random-like values, combining the benefits of relying on simple, causal models with good unpredictability. Since chaotic systems are always continuous-valued while applications are often digital, a quantization step is generally required for interfacing, We propose an adaptive binary quantization scheme which allows a relaxation of the system accuracy requirements, permitting improved performance in terms of throughput, die area, design simplicity. © 2001 IEEE.
AB - Chaos represents an effective method for the generation of random-like values, combining the benefits of relying on simple, causal models with good unpredictability. Since chaotic systems are always continuous-valued while applications are often digital, a quantization step is generally required for interfacing, We propose an adaptive binary quantization scheme which allows a relaxation of the system accuracy requirements, permitting improved performance in terms of throughput, die area, design simplicity. © 2001 IEEE.
UR - http://ieeexplore.ieee.org/document/921287/
UR - http://www.scopus.com/inward/record.url?scp=0035014654&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2001.921287
DO - 10.1109/ISCAS.2001.921287
M3 - Conference contribution
SN - 0780366859
SP - 221
EP - 224
BT - ISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
ER -