2012
DOI: 10.1109/mdt.2012.2192144
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Digital Signal Processing With Molecular Reactions

Abstract: This paper presents a methodology for implementing digital signal processing (DSP) operations such as filtering with molecular reactions. Molecular reactions that produce time-varying output quantities of molecules as a function of time-varying input quantities are designed according to a DSP specification. Unlike all previous schemes for molecular computation, the methodology produces designs that are dependent only on coarse rate categories for the reactions ("fast" and "slow"). Given such categories, the co… Show more

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Cited by 28 publications
(32 citation statements)
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References 13 publications
(19 reference statements)
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“…These works have shown CRNs to have eclectic computational abilities. Researchers have investigated the power of CRNs to simulate Boolean circuits [18], neural networks [14], and digital signal processing [15]. CRNs can simulate a bounded-space Turing machine efficiently, if the number of reactions is allowed to scale polynomially with the Turing machine’s space usage [26].…”
Section: Introductionmentioning
confidence: 99%
“…These works have shown CRNs to have eclectic computational abilities. Researchers have investigated the power of CRNs to simulate Boolean circuits [18], neural networks [14], and digital signal processing [15]. CRNs can simulate a bounded-space Turing machine efficiently, if the number of reactions is allowed to scale polynomially with the Turing machine’s space usage [26].…”
Section: Introductionmentioning
confidence: 99%
“…In biochemistry, Hill functions, of the form x n /(k + x n ), over R + are examples of sigmoid functions that have been shown to approximate the input/output response of, first historically, cooperative allosteric enzymatic reactions [44], and more recently of the MAPK signaling network [28] for instance. In this section we study the biochemical compilation of various sigmoid functions which is key to the implementation of digital logic with molecular reactions [32,31].…”
Section: Compilation Of Gpac-computable Functionsmentioning
confidence: 99%
“…Chemical and especially biomolecular computing, as well as other systems that involve (bio)chemical analytes constituting input signals and/or output, the latter being of interest in biosensing, forensics, and other applications, have become important fields of research as subfields of signal and information processing and unconventional computing . Extensive recent theoretical and experimental developments have laid out the foundations for design of novel systems and devices that involve conversion of biological and/or (bio)chemical signals into digital binary‐type YES/NO responses.…”
Section: Introductionmentioning
confidence: 99%