Practical considerations in the design of multisine test signals for system identification

Rees, D.; Jones, David Lee; Evans, D.C.

doi:10.1109/imtc.1992.245155

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…A multisine signal with a low crest factor is used for efficient system identification, reducing the time required for this process while providing comprehensive insights into the frequency domain, as suggested by literature [38], [39]. The whisker sensor, resembling a cantilever beam, is approximated with a black box model ( Ĝ(s) in ( 15)) of the 2 nd order or higher, as proposed in [40].…”

Section: System Identification From Simulationmentioning

confidence: 99%

Novel Techniques for Separating Intrinsic and Extrinsic Responses of Whisker Sensors

Routray,

Subudhi,

Sakcak

et al. 2024

Preprint

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Rodents and Felidae whiskers are highly sensitive, detecting extrinsic inputs like airflow or contact and intrinsic inputs such as base vibrations or self-induced motion. Building effective artificial whisker sensors faces a challenge due to the intricate coupling of responses at the whisker base. There’s a research gap in understanding whisker sensors’ responses to intrinsic and extrinsic inputs. To address this, we propose two methods, using base acceleration as a reference input, 1) employing frequency domain adaptive filtering (FDAF) and 2) introducing the base vibration response model (BVRM), mathematically representing the whisker sensor’s behavior as a linear time-invariant (LTI) system. Validation of FDAF and BVRM is conducted through simulation and experimentation. The BVRM excels in both simulation and experiment with an SNR value of 35.63, proving superior. BVRM also shows potential in filtering sensor responses for independent use in terrain identification, flow sensing, and surface profile identification. Separating responses to extrinsic and intrinsic inputs without discarding either makes whisker sensors more versatile and multipurpose.

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Section: System Identification From Simulationmentioning

confidence: 99%

Novel Techniques for Separating Intrinsic and Extrinsic Responses of Whisker Sensors

Routray,

Subudhi,

Sakcak

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The choice of input excitation signal is critical in determining the speed and accuracy with which the response of a system is obtained. 8,9 Multi-frequency input test signals are commonly used for estimation of transfer functions. These test signals have a well defined spectrum hence are useful to determine spectral measurements at several frequencies simultaneously in a time efficient manner.…”

Section: Multisine Excitationmentioning

confidence: 99%

“…C ¼ jsj peak s rms (8) which is equal to the peak to root-mean-square average ratio. For a single sinusoid, the crest factor is ffiffi ffi 2 p .…”

Section: Multisine Excitationmentioning

confidence: 99%

Label-free detection of protein binding with multisine SPR microchips

2011

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Label-free techniques such as surface plasmon resonance (SPR) have used a step-response excitation method to characterize the binding of two biochemical entities. A major drawback of the step response technique is its high susceptibility to thermal drifts and noise which directly determine the minimum detectable binding mass. In this paper we present a new frequency-domain method based on the use of multisine chemical excitation that is much less sensitive to these disturbances. The multisine method was implemented in a PDMS microfluidic chip using a dual channel, dual multiplug chemical signal generator connected to functionalized and reference SPR binding spots. Kinetic constants for the reaction are extracted from the characteristics of the sense spot response versus frequency. The feasibility of the technique was tested using a model system of Carbonic Anhydrase-II analyte and amino-benzenesulfonamide ligand. The experimental signal to noise ratio (SNR) for the multisine measurement is about 32 dB; 7 dB higher than that observed with the single step-response method, while the overall measurement time is twice as long as the step method.

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“…This section compares some general properties of spread-spectrum periodic signals for frequency response function measurements (Pintelon et al, 1997;Godfrey et al, 1999;. The studied excitations are chirp (Min et al, 2007(Min et al, , 2008, Maximum Length Binary Sequences (Godfrey, 1991;Rees et al, 1992;Tan and Godfrey, 2002;Godfrey et al, 2005), Discrete Interval Binary Sequences (van den Bos and Krol, 1979) and multisine signals (Schroeder, 1970;Horner and Beauchamp, 1996;Simon and Schoukens, 2000;Vanhoenacker et al, 2001).…”

Section: Strengths and Weaknesses Of Periodic Broadband Signals For I...mentioning

confidence: 99%

Broadband electrical impedance spectroscopy for dynamic electrical bio-impedance characterization

Sánchez Terrones

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The electrical impedance of biological samples is known in the literature as Electrical Bioimpedance (EBI). The Electrical Bioimpedance enables to characterize physiological conditions and events that are interesting for physiological research and medical diagnosis. Although the Electrical Bioimpedance weakness is that it depends on many physiological parameters, on the other hand, it is suitable for many medical applications where minimally invasive and real-time measurements with simple and practical implementations are needed. The Electrical Impedance Spectroscopy (EIS) techniques based on broadband excitations are expected to help to understand various unsolved problems in biomedical applications. Broadband EIS opens up the possibility to reduce drastically the measuring time for acquiring EBI time-variations but, at the same time, measuring in a short time compromises the EBI accuracy. The way to overcome this intrinsic loss of accuracy relies on the design of the appropriate time/frequency input excitation properties and the use of the suitable spectral analysis processing techniques. The presented thesis covers the topics related to study of broadband excitations for Impedance Spectroscopy in biomedical applications and, more specific, the influence of the multisine excitation time/frequency properties on the impedance spectrum accuracy and its optimization. Furthermore, an advanced fast signal processing method has been implemented to process in real-time EBI data corrupted by transients, a common situation when measuring in a short measuring time. Despite being the goal to apply all this knowledge for myocardial tissue regeneration monitoring, at the moment of drafting the thesis, any of the research projects that have supported this thesis have issued functional beating tissue. For that reason, the theory presented has been validated by a set of experimental measurements over animals and patients where the impedance spectrum time-varying properties were pretended to be characterized. The thesis presents novel findings of relevance of a successful application of broadband EIS in two different measurement campaigns where it has been put in practice: (1) within the collaboration of the pneumology and cardiology service from Hospital Santa Creu i Sant Pau for in-vivo human lung tissue characterization, and (2), within the measurement of animal healthy myocardium tissue electrical impedance including its dynamic behavior during the cardiac cycle.

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Practical considerations in the design of multisine test signals for system identification

Cited by 6 publications

References 13 publications

Novel Techniques for Separating Intrinsic and Extrinsic Responses of Whisker Sensors

Novel Techniques for Separating Intrinsic and Extrinsic Responses of Whisker Sensors

Label-free detection of protein binding with multisine SPR microchips

Broadband electrical impedance spectroscopy for dynamic electrical bio-impedance characterization

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