Results 221 to 230 of about 1,790,403 (266)
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Representation and analysis of complex chirp signals
Signal Processing, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multiuser Communication Using Chirp Signals of Equal Chirp Rate
2018 Twenty Fourth National Conference on Communications (NCC), 2018Chirp modulation can be considered as a type of spread spectrum modulation process providing high processing gain, robustness to multipath interference, requirement of low power. The paper presents a multiuser communication system using chirp signals having the same chirp rate and different initial frequencies for different users.
Arijit Roy +3 more
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Distortion Characterization of Exponential Signal Reconstructed by Low-Chirp Signal
IEEE Transactions on Instrumentation and Measurement, 2019This paper is an extension of the procedure pointed out to evaluate the distortion of the exponential signal, modeled as multiexponential signal with different amplitudes and time constants. This procedure evaluates the distortion by applying the Prony-like method to the signal reconstructed by zero-crossing time evaluated on the difference between the
Domenico Luca Carnì +2 more
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Chirp signal detection using the Duffing oscillator
CONIELECOMP 2012, 22nd International Conference on Electrical Communications and Computers, 2012The chaotic oscillator has become an important tool in the analysis of harmonic signals with low signal to noise ratio. On the other hand, traditionally, frequency modulated (FM) signals have always been studied through conventional techniques of time-frequency analysis.
Carlos R. Bermudez-Gómez +2 more
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Complex heterodyne for undersampled chirped sinusoidal signals
Applied Optics, 2006We describe a method for analyzing frequency-chirped sinusoidal signals using a complex heterodyne, sometimes also known as complex demodulation on the digitized waveform. This method allows one to use prior knowledge of the signal to reduce the effective bandwidth of the signal. The method can be used to extract a frequency-chirped signal even when it
T M, Niebauer, A, Schiel, D, van Westrum
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Estimation of parameters in random amplitude chirp signal
Signal Processing, 2020Abstract In this paper, we consider the random amplitude chirp signal model observed with independent and identically distributed additive error as proposed by Besson et al. [2] . The random amplitudes are also independent and identically distributed random variables with non-zero mean and some finite higher order moments. We consider the estimators
Swagata Nandi, Debasis Kundu
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MMSE parameter estimation of multiple chirp signals
1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002We propose an iterative algorithm for minimum mean square error (MMSE) estimation of the parameters of multiple superimposed linear chirp signals in white Gaussian noise. The parameter estimation of each chirp component is carried out by two dimensional integration.
Hsiang-Tsun Li, Petar M. Djuric
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An Algorithm for Parameter Estimation of Multicomponent Chirp Signals
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006This paper presents an algorithm for estimating the parameters of multicomponent chirp signals. The estimator is based on the cubic phase function (CPF), which is efficient to estimate the parameters of monocomponent polynomial phase signals (PPS) with order is less than or equal to 3.
Jianyu Yang, Pu Wang, Jintao Xiong
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Detection and estimation of changes in the parameters of a chirp signal
1995 International Conference on Acoustics, Speech, and Signal Processing, 2002The problem is the detection and the estimation of abrupt changes in a chirp signal. In this case, an exact generalized likelihood ratio (GLR) test cannot be achieved, the system leading to the maximum likelihood estimates (MLE) of the parameters being nonlinear.
Céline Theys, Gérard Alengrin
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Estimation of chirp signals with time-varying amplitudes
Signal Processing, 2018Abstract The problem of parameters estimation of signals composed of an unknown number of chirps with time-varying amplitude is presented using a sparse reconstruction framework. The method employs a parametric model using a weighted combination of splines to model the time-varying nature of the signal amplitudes.
Xiangxia Meng +3 more
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