G
Gianluca Setti
Researcher at University of Bologna
Publications - 290
Citations - 5185
Gianluca Setti is an academic researcher from University of Bologna. The author has contributed to research in topics: Compressed sensing & Signal. The author has an hindex of 36, co-authored 276 publications receiving 4727 citations. Previous affiliations of Gianluca Setti include Polytechnic University of Turin & Alstom.
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Chaotic complex spreading sequences for asynchronous DS-CDMA. I. System modeling and results
TL;DR: In this paper, the authors evaluated the impact of chaotic spreading codes on communication systems with asynchronous code division multiple access (CDMA) using a truncated and quantized chaotic time series.
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Embeddable ADC-based true random number generator for cryptographic applications exploiting nonlinear signal processing and chaos
TL;DR: A true random number generator which is not based on the explicit observation of complex micro-cosmic processes but on standard signal processing primitives, freeing the designer from the need for dedicated hardware and increasing the system security for cryptographic applications.
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Chaotic complex spreading sequences for asynchronous DS-CDMA. Part II. Some theoretical performance bounds
TL;DR: Mazzini et al. as discussed by the authors evaluated the impact of chaotic spreading codes on communication systems with asynchronous Code Division Multiple Access (CDMA) and provided analytical bounds on the expected partial cross correlation between spreading sequences obtained by quantizing and repeating a chaotic time series.
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Low-Complexity Multiclass Encryption by Compressed Sensing
TL;DR: This paper applies simple encoding to define a general private-key encryption scheme in which a transmitter distributes the same encoded measurements to receivers of different classes, which are provided partially corrupted encoding matrices and are thus allowed to decode the acquired signal at provably different levels of recovery quality.
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Statistical modeling of discrete-time chaotic processes-basic finite-dimensional tools and applications
TL;DR: Experimental evidence shows that the availability of statistical tools enables the design of chaos-based systems which favorably compare with analogous nonchaos-based counterparts.