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Filter optimization for real time digital processing of radiofrequency signals: application to oscillator metrology.

08:00 EDT 1st October 2019 | BioPortfolio

Summary of "Filter optimization for real time digital processing of radiofrequency signals: application to oscillator metrology."

Software Defined Radio (SDR) provides stability, flexibility and reconfigurability to radiofrequency signal processing. Applied to oscillator characterization in the context of ultrastable clocks, stringent filtering requirements are defined by spurious signal or noise rejection needs. Since real time radiofrequency processing must be performed in a Field Programmable Array to meet timing constraints, we investigate optimization strategies to design filters meeting rejection characteristics while limiting the hardware resources required and keeping timing constraints within the targeted measurement bandwidths. The presented technique is applicable to scheduling any sequence of processing blocks characterized by a throughput, resource occupation and performance tabulated as a function of configuration characateristics, as is the case for filters with their coefficients and resolution yielding rejection and number of multipliers.

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This article was published in the following journal.

Name: IEEE transactions on ultrasonics, ferroelectrics, and frequency control
ISSN: 1525-8955
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