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Nonlinear vector multiresolution analysis
Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154), 2002We explore the use of multiresolution analysis for vector signals, such as multispectral images or stock market portfolio time series. These signals often contain local correlations among components that are overlooked in a component-by-component analysis.
M. Gupta, A. Gilbert
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Multiresolution analysis of DEM
SPIE Proceedings, 2004Digital Elevation Models (DEM) have become important tools in many remote sensing applications, such as classification, defense, Geographic Information Systems, etc. But they are complex products to generate and they are still pervaded with errors and artifacts due to the generation techniques themselves or atmospheric problems.
Pauline Audenino, Mihai Datcu
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Frame Multiresolution Analysis
2003The introduction of multiresolution analysis by Mallat and Meyer was the beginning of a new era; the short descriptions in Section 3.9 and Section 4.3 only give a glimpse of the research activity based on this new tool, aiming at construction of orthonormal bases \( \{\psi _{j,k}\}_{j,k\in \mathbb{Z}}. \)
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Generalized Multiresolution Analysis on Unstructured Grids
Numerische Mathematik, 1999The authors show that the efficiency of high-order essentially non-oscillatory approximations of conservation laws can be improved if ideas of multiresolution analysis (cf. Abgrall and Harten, CAM-reports 93-13, 94-10 and 94-20, University of California, Los Angeles, 1993-1994) are taken in account.These methods of data compression reduce the necessary
Schröder-Pander, Friederike +2 more
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2000
Many real-time audio applications perform convolution and correlation operations in the frequency domain for efficiency reasons [114, 134]. The FFT is usually used to transform the time signals back and forth to the frequency domain. Interpreting the FFT operation as a filterbank, the filters have constant bandwidth, and their centre frequencies axe ...
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Many real-time audio applications perform convolution and correlation operations in the frequency domain for efficiency reasons [114, 134]. The FFT is usually used to transform the time signals back and forth to the frequency domain. Interpreting the FFT operation as a filterbank, the filters have constant bandwidth, and their centre frequencies axe ...
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Multiresolution Analysis with Pulses
2002Multiresolution analysis has recently received considerable attention in relation to wavelets. The word “multiresolution” is appropriate in so far as wavelets are local in some sense, and therefore have exponentially decaying impulse response. In image processing it is clear that edges and impulses yield undesirable synthetic features in partially ...
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GENERALIZED MULTIRESOLUTION ANALYSIS
Wavelet Analysis and Its Applications, 2003YUJING GUAN, YUNSHI ZHOU
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Multiscale and multiresolution analysis
In this chapter, we describe the Gaussian scale-space in the spatial and intensity parameters, and we discuss the scale-selection algorithms for blob and edge detections. Image resolution is to some extent an artifact of the camera used, and with no prior knowledge, we seldomly can predict the size of objects in pixels in images.openaire +2 more sources