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Digital alias-free signal processing tolerance to data and sensor faults

Ivars Bilinskis

Open publisher page 4 citations

Abstract

A possible approach to the problem of lessening the impact of DSP system faults (partial loss of input signal sample values) on their normal performance is considered. It is suggested to improve the DSP system fault tolerance by using the techniques of digital alias-free signal processing (DASP) which are shown to be substantially more fault tolerant than the techniques of traditional DSP, at least for many basic signal digital processing procedures.

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What this paper is about

A possible approach to the problem of lessening the impact of DSP system faults (partial loss of input signal sample values) on their normal performance is considered. It is suggested to improve the DSP system fault tolerance by using the techniques of digital alias-free signal processing (DASP) which are shown to be substantially more fault tolerant than the techniques of traditional DSP, at least for many basic signal digital processing procedures.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

A possible approach to the problem of lessening the impact of DSP system faults (partial loss of input signal sample values) on their normal performance is considered. It is suggested to improve the DSP system fault tolerance by using the techniques of digital alias-free signal processing (DASP) which are shown to be substantially more fault tolerant than the techniques of traditional DSP, at least for many basic signal digital processing procedures.

Key concepts: Alias, Computer science, Signal processing, Fault tolerance, Digital signal processing, Computer hardware, Database, Distributed computing

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