Journal ArticleDOI
Nonlinear distortions and multisine signals. II. Minimizing the distortion
C. Evans,David Rees +1 more
TLDR
This paper examines the effects of nonlinear distortions on frequency response functions estimated using multisine test signals, to minimize the distortion introduced by the nonlinearity, for a given input power constraint.Abstract:
For Pt. I see ibid. vol. 49, pp. 602-609, 2000. This paper examines the effects of nonlinear distortions on frequency response functions estimated using multisine test signals. The aim is to minimize the distortion introduced by the nonlinearity, for a given input power constraint. A number of different multisine signals are compared for this purpose, with zero, random and low crest factor harmonic phases. The results are compared with those of other authors in this field.read more
Citations
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Linear models of nonlinear systems
TL;DR: In this thesis, it is described how robust control design of some nonlinear systems can be performed based on a discrete-time linear model and a model error model valid only for bounded inputs.
Journal ArticleDOI
Nonlinear distortions and multisine signals. I. Measuring the best linear approximation
C. Evans,David Rees +1 more
TL;DR: A class of broadband pilot test signals is proposed, termed sparse odd multisines, which can be used to establish the system bandwidth and detect nonlinearities, and signals are defined within this class which allow the measurement of the best linear approximation of a nonlinear system.
Journal ArticleDOI
Harmonic Ultrasound Imaging of Nanosized Contrast Agents for Multimodal Molecular Diagnoses
Francesco Conversano,Adelaide Greco,Ernesto Casciaro,Andrea Ragusa,Aime Lay-Ekuakille,Sergio Casciaro +5 more
TL;DR: Results show that this new ultrasound-based method for NPCA imaging has a detection sensitivity similar to that of the previously introduced subharmonic-based technique in the presence of 330-nm SiNSs, but performs significantly better in the detection of both the types of “dual mode” NPCAs.
Journal ArticleDOI
Identification of linear systems in the presence of nonlinear distortions
TL;DR: In this paper, the identification of linear systems in the presence of nonlinear distortions is studied and an appropriate measurement strategy and identification algorithm are presented, where both the input and output are observed with errors (errors-in-variables framework).
Journal ArticleDOI
Measuring a linear approximation to weakly nonlinear MIMO systems
TL;DR: It is shown that when a nonlinear MIMO system is modeled by a multidimensional Volterra series, periodic noise and random multisines are equivalent excitations to the classical Gaussian noise, allowing for a lower variance of the nonlinear FRF measurements, while the same linear approximation is retrieved.
References
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Journal ArticleDOI
Synthesis of low-peak-factor signals and binary sequences with low autocorrelation (Corresp.)
TL;DR: In this correspondence, a formula for the phase angles is derived that yields generally low peak factors, often comparable to that of a sinusoidal signal of equal power.
Journal ArticleDOI
Crest-factor minimization using nonlinear Chebyshev approximation methods
TL;DR: A new crest-factor minimization algorithm is presented for periodic signals with prescribed power spectrum based on approximation of the nondifferentiable Chebyshev (minimax) norm by l/sub p/-norms with increasing values of p, and the calculations are accelerated by using FFTs.
Journal ArticleDOI
Optimal ventilation waveforms for estimating low-frequency respiratory impedance
TL;DR: A dominant influence of airway constriction and lung inhomogeneities during asthmatic bronchoconstriction that is alleviated by bronchodilators is suggested.
Journal ArticleDOI
Pseudorandom signals to estimate apparent transfer and coherence functions of nonlinear systems: applications to respiratory mechanics
Béla Suki,Kenneth R. Lutchen +1 more
TL;DR: A family of pseudorandom signals which are especially suited for the estimation of Z and gamma /sup 2/ in mechanical measurement of physiological systems at low frequencies is proposed and is supported by simulation results and experimental examples.
Proceedings ArticleDOI
Periodic signals for measuring nonlinear Volterra kernels
TL;DR: An analysis is presented of the harmonic output of a Volterra kernel when excited with a multiharmonic signal, which lays the basis for the design of such signals, and a range of new periodic signals are defined.
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