We consider the problem of estimating the response function in a deconvolution model under fractional Gaussian noise and noisy kernel. A preliminary threshold is used to stabilize the inversion. Our estimator is adaptive and attains minimax optimal or near-optimal rates in a wide range of Besov ...
Seismic Interferometry by Multi-Dimensional Deconvolution Free from Point-Spread Function Chapter© 2023 A new significance on the vertical component ratio of the power spectra between two sites in the application of array methods ArticleOpen access05 September 2015 ...
Stationarity of both the source and receiver data is approached as closely as practicable by (1) beginning the actuation of the vibrator(s) long enough before the starting of the recording for transients associated with the impulse response of the earth to die down substantially (e.g., 6 ...
21.The method of claim 13, wherein the step of scanning comprises the step of changing a rate at which the scanner scans the light as a function of a drive signal that is applied to the scanner to drive it. 22.The method of claim 13, wherein the step of scanning comprises the step...
We consider the problem of estimating the response function in a deconvolution model under fractional Gaussian noise and noisy kernel. A preliminary threshold is used to stabilize the inversion. Our estimator is adaptive and attains minimax optimal or near-optimal rates in a wide range of Besov ...
The Residual ISI for Which the Convolutional Noise Probability Density Function Associated with the Blind Adaptive Deconvolution Problem Turns Approximately Gaussian. Entropy. 2022; 24(7):989. https://doi.org/10.3390/e24070989 Chicago/Turabian Style Pinchas, Monika. 2022. "The Residual ISI for ...
In contrast, the spatial impulse response in photoacoustic imaging is only the transducer’s backward response, so the FWHM of the resulted lateral profile is wider than that in AR-USE. After dynamic focusing of ultrasound, the signal intensity of the point target in the out-of-focus region ...