Multiplicative noise models: parameter estimation using cumulants
Signal Processing - Special issue on higher order statistics
Wavelet packets-based high-resolution spectral estimation
Signal Processing
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Sinusoidal signals with random amplitude: least-squares estimatorsand their statistical analysis
IEEE Transactions on Signal Processing
Harmonics in multiplicative and additive noise: performanceanalysis of cyclic estimators
IEEE Transactions on Signal Processing
Asymptotic wavelet and Gabor analysis: extraction of instantaneous frequencies
IEEE Transactions on Information Theory - Part 2
Detecting the number of 2-D harmonics in multiplicative and additive noise using enhanced matrix
Digital Signal Processing
Harmonic retrieval by period blind source extraction method: Model and algorithm
Digital Signal Processing
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A novel approach for frequency estimation of one-dimensional harmonics in multiplicative and additive noises is presented. To overcome the resolution limitation inherent to the traditional Fourier-based algorithms, a wavelet transform is utilized. In this new approach, we use a wavelet mother function with a tunable parameter, which is constructed by modulating a window function. For a given harmonic retrieval problem, the tunable parameter can be adaptively adjusted to achieve a good performance. Some numerical experiments are included to illustrate the merits of this new approach.