Title :
Generating binary Bernoulli sequences based on a class of even-symmetric chaotic maps
Author :
Sang, Tao ; Wang, Ruli ; Yan, Yixun
Author_Institution :
Inst. of Tech. Phys., Acad. Sinica, Shanghai, China
fDate :
4/1/2001 12:00:00 AM
Abstract :
If an even-symmetric chaotic map has a unique invariant measure density that is also even-symmetric, its generated analog signal sequences can be quantized into binary Bernoulli sequences by a certain symmetric binary function. This case includes some well-known chaotic maps, and the requirement of “equidistributivity property” is not necessary
Keywords :
binary sequences; chaos; analog signal sequences; binary Bernoulli sequences generation; even-symmetric chaotic maps; i.i.d. binary random variables; invariant measure density; quantization; symmetric binary function; Chaos; Chaotic communication; Chebyshev approximation; Communications Society; Density measurement; Logistics; Random variables; Signal generators; Spread spectrum communication; Sufficient conditions;
Journal_Title :
Communications, IEEE Transactions on