NDLI: Estimating instantaneous frequency based on phase derivative and linear canonical transform with optimised computational speed

Content Provider	IET Digital Library
Author	Zhang, Zhi Chao Yu, Tao Luo, Mao Kang Deng, Ke
Abstract	We introduce a new instantaneous frequency (IF) estimator investigating the resulting process of the IF estimation within the framework of the signal's phase derivative and the linear canonical transform. We define a quantitative performance index for computational speed to show that the new estimator can outperform others within that framework in optimising computational speed (minimising the performance index). The authors investigate the relationship between the new estimator and the previous one proposed by Li et al., and also compare their estimation accuracy and computational speed. The authors further verify the theoretical analyses by applying the new and Li's estimators to capture the IF of some linear and non-linear frequency-modulated signals.
Starting Page	574
Ending Page	580
Page Count	7
ISSN	17519675
Volume Number	12
e-ISSN	17519683
Issue Number	Issue 5, Jul (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2017.0469
Journal	IET Signal Processing
Publisher Date	2018-01-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Frequency Estimation IF Estimation Instantaneous Frequency Estimation Integral Transforms Li's Estimators Linear Canonical Transform Linear Frequency-modulated Signal Minimisation Nonlinear Frequency-modulated Signal Optimisation Technique Optimised Computational Speed Performance Index Performance Index Minimisation Phase Derivative Quantitative Performance Index Signal Phase Derivative Signal Processing Signal Processing And Detection Signal Processing Theory Statistics Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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