Event-triggered sampling using signal extrema for instantaneous amplitude and instantaneous frequency estimation

Sharma, Neeraj; Sreenivas, T.V.

doi:10.1016/j.sigpro.2015.03.025

Cited by 12 publications

(5 citation statements)

References 38 publications

(38 reference statements)

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“…The approach was demonstrated for source signal being a tone. A performance analysis of extrema sample for noisy signal, and its impact in AM-FM estimation with comparison to traditional methods is done in [22]. In future, we intend to extend the approach to estimation of P for source moving in arbitrary trajectory and emitting any acoustic signal.…”

Section: Discussionmentioning

confidence: 99%

Moving sound source parameter estimation using a single microphone and signal extrema samples

Sharma

Pelluri

Sreenivas

2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Estimating the parameters of moving sound sources using only the source signal is of interest in low-power, and contact-less source monitoring applications, such as, industrial robotics and bio-acoustics. The received signal embeds the motion attributes of the source via Doppler effect. In this paper, we analyze the Doppler effect on mixture of time-varying sinusoids. Focusing, on the instantaneous frequency (IF) of the received signal, we show that the IF profile composed of IF and its first two derivatives can be used to obtain source motion parameters. This requires a smooth estimate of IF profile. However, the numerical implementation of traditional approaches, such as analytic signal and energy separation approach, gives oscillatory behavior hence a non-smooth IF estimate. We devise an algorithm using non-uniformly spaced signal extrema samples of the received signal for smooth IF profile estimation. Using the smooth IF profiles for a source moving on a linear trajectory with constant velocity, an accurate estimate of moving source parameters is obtained. We see promise of this approach for an arbitrary trajectory motion parameter estimation.

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Section: Discussionmentioning

confidence: 99%

Moving sound source parameter estimation using a single microphone and signal extrema samples

Sharma

Pelluri

Sreenivas

2015

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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“…Data-sampling control theory has been a hot topic due to the fact that data-sampling control itself is high precision and high reliability in many practical applications [20,21]. With the development of the high quality need of system performance, single-rate data-sampling control cannot meet the requirements and even increase the cost of the system, a better design scheme called multi-rate data-sampling control has come into being [22,23]. Multi-rate data-sampling control with less conservativeness can achieve the control objectives that single-rate data-sampling control does not have, such as gain margin improvement, simultaneously stability, strong stabilization, centralized and decentralized control.…”

Section: Introductionmentioning

confidence: 99%

Outer-synchronization of fractional-order neural networks with deviating argument via centralized and decentralized data-sampling approaches

Cheng

Zhang

et al. 2019

Adv Differ Equ

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This paper is committed to investigating outer-synchronization of fractional-order neural networks with deviating argument via centralized and decentralized data-sampling approaches. Considering the low cost and high reliability of data-sampling control, we adopt two categories of control strategies with principles of centralized and decentralized data-sampling to synchronize fractional-order neural networks with deviating argument. Several sufficient criteria are proposed to realize outer-synchronization by data-sampling control design in two complex coupled networks. It is noteworthy that, based on centralized and decentralized data-sampling methods, the synchronization theory of fractional systems and differential equation with deviating argument, the sampling time points are very well selected in control systems. An example is performed to illustrate the advantage of the presented theoretical analysis and results.

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“…We note that i) and ii) above are relevant to research on event-driven sampling, which unlike the usual uniform sampling, encodes a signal using purely timing information, such as the zero crossings or level crossings instants of the signal. Extracting such timing information is useful in a number of applications; see, e.g., [3,[7][8][9][10][11] . On the other hand, iii) and iv) represent an empirical investigation on the conditions when a general band limited signal is recoverable from purely timing data.…”

Section: Introductionmentioning

confidence: 99%

On reconstruction of bandlimited signals from purely timing information

2019

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Event-triggered sampling using signal extrema for instantaneous amplitude and instantaneous frequency estimation

Cited by 12 publications

References 38 publications

Moving sound source parameter estimation using a single microphone and signal extrema samples

Moving sound source parameter estimation using a single microphone and signal extrema samples

Outer-synchronization of fractional-order neural networks with deviating argument via centralized and decentralized data-sampling approaches

On reconstruction of bandlimited signals from purely timing information

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