Practical stimulus design for a multi-tone fit |
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Author: | Neitola, Marko1 |
Organizations: |
1CAS research unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, Finland |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.3 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2019121748437 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2019
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Publish Date: | 2019-12-17 |
Description: |
AbstractA multi-tone measurement can be used to characterize the noise and distortion of a device or a system. Such assessment can be accomplished by a least-squares sinusoidal fit, which is widely analyzed in the prior art. The IEEE standard sinusoidal least-squares fit (sinefit) can be quite easily expanded to multiple tones, real or complex. From a designer point-of-view, the challenge is to generate a proper stimulus. The design questions in such case are the following: ”How do I design the tone spacing?”, ”What is the minimum record length of the stimulus with n tones?”, ”Can I use the 3-parameter fit (known frequencies)?”, ”How many iterations do I need in the 4-parameter fit (unknown frequencies)?” and ”How accurate the initial guess of the frequencies have to be for the 4-parameter fit?”. This study strives to answer the aforementioned questions with reflections to the analytical results from prior art. see all
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ISBN: | 978-1-7281-2769-9 |
ISBN Print: | 978-1-7281-2770-5 |
Pages: | 1 - 7 |
DOI: | 10.1109/NORCHIP.2019.8906952 |
OADOI: | https://oadoi.org/10.1109/NORCHIP.2019.8906952 |
Host publication: |
2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC) 29-30 Oct 2019 Helsinki, Finland |
Conference: |
IEEE Nordic Circuits and Systems Conference |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Copyright information: |
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