Semantic Scholar uses AI to extract papers important to this topic.
Most simple nonlinear thresholding rules for wavelet-based denoising assume that the wavelet coefficients are independent… Expand A wavelet-based tool for the analysis of long-range dependence and a related semi-parametric estimator of the Hurst parameter is… Expand This paper presents a trainable object detection architecture that is applied to detecting people in static images of cluttered… Expand Abstract When fitting wavelet based models, shrinkage of the empirical wavelet coefficients is an effective tool for denoising… Expand Wavelets were developed independently by mathematicians, quantum physicists, electrical engineers and geologists, but… Expand First published in 1995, Wavelets and Subband Coding offered a unified view of the exciting field of wavelets and their discrete… Expand SUMMARY With ideal spatial adaptation, an oracle furnishes information about how best to adapt a spatially variable estimator… Expand This detail-oriented text is intended for engineers and applied mathematicians who must write computer programs to perform… Expand An Overview: From Fourier Analysis to Wavelet Analysis. The Integral Wavelet Transform and Time-Frequency Analysis. Inversion… Expand Multiresolution representations are effective for analyzing the information content of images. The properties of the operator… Expand