Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Flavio Lorenzelli"'
Autor:
Festus Gail Gray, Wayne D. Grover, Josephine C. Chang, Bing J. Sheu, Roland Priemer, Rung Yao, Flavio Lorenzelli
Publikováno v:
Analog and VLSI Circuits ISBN: 9781315219127
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a65fe3abffcd19285d06c160720d095a
https://doi.org/10.1201/9781315219127-9
https://doi.org/10.1201/9781315219127-9
Autor:
Kung Yao, Flavio Lorenzelli
Publikováno v:
Journal of Signal Processing Systems. 53:15-34
In this paper we survey a number of linear algebra algorithms that are used in many modern real-time high-throughput applications. We focus in particular on algorithms that are used in applications as diverse as adaptive filtering/beamforming, commun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52a032b665e889f440090077588e81e9
https://doi.org/10.1007/s11265-007-0108-z
https://doi.org/10.1007/s11265-007-0108-z
Autor:
Flavio Lorenzelli
The study of chaotic systems has become a major scientific pursuit in recent years, shedding light on the apparently random behaviour observed in fields as diverse as climatology and mechanics. InThe Essence of Chaos Edward Lorenz, one of the foundin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5db452af43f7df36ae87486a9e8ba01
https://doi.org/10.1201/9781482288988
https://doi.org/10.1201/9781482288988
Covering the fundamentals of detection and estimation theory, this systematic guide describes statistical tools that can be used to analyze, design, implement and optimize real-world systems. Detailed derivations of the various statistical methods ar
Publikováno v:
Detection and Estimation for Communication and Radar Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5934d72735feb4cea18b407312ee379
https://doi.org/10.1017/cbo9781139015615.005
https://doi.org/10.1017/cbo9781139015615.005
In Chapter 4, we considered the detection of known binary deterministic signals in Gaussian noises. In this chapter, we consider the detection and classification of M -ary deterministic signals. In Section 5.1, we introduce the problem of detecting M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b38eafd5eaaafcfb6c5b75a45951c36
https://doi.org/10.1017/cbo9781139015615.006
https://doi.org/10.1017/cbo9781139015615.006
Publikováno v:
Detection and Estimation for Communication and Radar Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b90ff8a4e7987e150da2f2ce3241f9
https://doi.org/10.1017/cbo9781139015615.003
https://doi.org/10.1017/cbo9781139015615.003
In this chapter we consider various analytical and simulation tools for system performance analysis of communication and radar receiver problems. In Section 8.1, we treat the analysis of receiver performance with Gaussian noise, first using the closu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e51cafd4cacf380b455938d62026dc0
https://doi.org/10.1017/cbo9781139015615.009
https://doi.org/10.1017/cbo9781139015615.009
Introduction The second half of the twentieth century experienced an explosive growth in information technology, including data transmission, processing, and computation. This trend will continue at an even faster pace in the twenty-first century. Ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b19f66ff5e72269b6e3b78b134a76acf
https://doi.org/10.1017/cbo9781139015615.002
https://doi.org/10.1017/cbo9781139015615.002