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111 Introduction In this chapter, we shall review some of the important and recent applications of local regularity and multifractal analysis to signal/image processing Obviously, we will not aim at a complete coverage of the eld, which would require a book of its own: (multi)fractal processing of signals and images is indeed now present in numerous applications Rather, we will concentrate on a few topics, and try to explain in a very concrete manner how tools developed for the study of irregular functions may be applied to solve typical signal processing problems This chapter is organized as follows: in section 112, we brie y recall the notions that will be used in what is to come, namely regularity exponents and multifractal spectra For more details on these, see s 1 and 3 In section 113, we explain how to estimate regularity exponents on numerical data and compare various methods to do so (we do not tackle the problem of multifractal spectrum estimation, which will not be needed here See s 1 and 3 for more information on this) Section 114 gives a detailed explanation of how to use fractal tools to perform signal and image denoising We rst recall a traditional wavelet-based denoising method, and explain why it is not adapted to processing irregular signals We then display pdf file in vb.net form Displaying a PDF in a control in Visual Basic 2010 - Stack Overflow
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Apr 8, 2014 · In this tutorial, we will create a program that read PDF file using an Acrobat software in vb.net. Now, let's start this tutorial! present three different methods based on H lder exponents and large deviation multifractal spectra that give good results on signals such as fractal functions, road pro les and SAR (radar) images Section 115 explains how H lder exponents may be used to perform data interpolation: the idea is to re ne the resolution in such a way that local regularity is preserved at each point Again, this approach is well adapted to processing irregular signals and images, as we show in examples Section 116 gives an account of the remarkable applications of fractal tools to ECG analysis: links between the condition of the heart and some features of the multifractal spectrum of its ECG, relation between RR signals and their local regularity, etc In section 117, we brie y describe an application of multifractal analysis to texture classi cation, and describe an example of well logs Section 118 is devoted to the presentation of an image segmentation method based on characterizing edges through multifractal analysis The issue of change detection in a sequence of images is dealt with in section 119 As in the contour segmentation application, the idea is to characterize relevant changes through their signatures in the multifractal spectrum As a nal image processing application, we describe in section 1110 a method for reconstructing an image from a speci c subset of pixels selected through multifractal analysis To end this introduction, we should also mention that many of the methods described in this chapter are implemented in the free software toolbox FracLab [FracLab] 112 Basic tools 1121 H lder regularity analysis This section focuses on the H lder characterizations of regularity To simplify notations, we assume that our signals are nowhere differentiable Generalization to other signals simply requires the introduction of polynomials in the de nitions (see s 1 and 3). vb.net pdf viewer control free PDF Viewer Control Without Acrobat Reader Installed - CodeProject
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Both VB 6, Office, and I think . NET too. If you want the toolbar functionality of Acrobat then the PDF COM control is tops but for previewing only a ... DEFINITION 111 (Pointwise H lder exponent) Let (0, 1), and x0 K R A function f : K R is in Cx0 if, for all x in a neighborhood of x0 , |f (x) f (x0 )| c|x x0 | where c is a constant The pointwise H lder exponent of f at x0 , denoted p (x0 ), is the supremum of the for which the equation (111) holds Let us now introduce the local H lder exponent: let (0, 1), R We say that f Cl ( ) if: C : x, y : |f (x) f (y)| C |x y| (111) Page 23 strong past performance, the relevant risk associated with new ventures is much smaller than circumstances in which risk remains high What is the message here Creating an effective product results from a demonstration of both a strong product concept and delivery process We sell the customer on our ideas through paying attention to their need for a top-notch product, including optimal project delivery To illustrate, consider the two examples: When we are intent on purchasing a basic consumer product we usually choose the product based on its price, quality, performance, and other relevant specifications We don t think very much about the process that went into producing it We might be interested in where the product was made, or how environmentally sensitive the production process was, but in general, as consumers, we are mainly interested in the physical product itself and its performance In the case of large projects involving significant investment, on the other hand, the situation is very different Certainly the product concept (along with its degree of technical validity, organizational validity, and organizational effectiveness) is important However, a large investment project is always a sum of a great number of elements that all have to come together in a certain schedule and cost framework to form the final product In most cases, managing these pieces and the interfaces between them is impossible without focusing on the processes that produce them Here the quality of the process very much dictates the quality of the outcome The process may include design and engineering, purchasing, manufacturing, testing, logistics, commissioning, and start-up It may also include a great deal of development work to make the new elements of the product concept perform as planned In this kind of project, the customer typically carries out an extensive risk analysis involving a detailed evaluation of the delivery process The result of this analysis has a significant effect on the decision to whom to award the contract. vb.net itextsharp pdfreader [VB.NET] PDF reader - MSDN - Microsoft
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