... understand the basic characteristics ofdigital filters and familiar with techniques used for implementing digital filters. Many DSP books devote substantialefforts to the theory of designing digital ... characteristics ofdigital filters are often specified in the frequency domain. For frequency-selective filters, the magnitude response specifications of a digital filter areoften given in the form of tolerance ... realizable. Instead wemust compromise and accept a more gradual cutoff between passband and stopband, aswell as specify a transition band between the passband and stopband. The design isbased on magnitude...
... Vpis rather slow for a small L.Therefore for a given transition band, the order of the Butterworth filter required isoften higher than that of other types of filters. In addition, for a large L, ... havejH!j 3 0, for ! ! p: 6:3:15This condition can hold for lowpass and bandpass filters, but not for highpass and bandstop filters.MATLAB supports the design of impulse invariant digital filters ... 0:5zÀ1:The pole locations of the direct-form HHz are z 0:18 and z 0:695, and thepole locations of the cascade form HHHz are z 0:375 and z 0:5. Therefore thepoles of cascade realization...
... M1RI[M1R1 and R1MI[R1M1. Repairs False Positives Pauses after X (only) and FO of X less than FO of 1st M1 .00 .58 Pauses before X (only) and F0 of X greater than F0 of 1st M1 ... disfluencies as to type and frequency, and are investigating methods for their automatic detectionand correction. Here we re- port promising results on detectionand correction of repairs by combining ... "no" and "well." And third, we discuss how acoustic information can aid in the detectionof word fragments, which occur fre- quently and which pose difficulty for automatic...
... dotplot before convolution; and (b) after convolution. 2.3 Convolution and local edge detection Convolution is the method of choice for enhancing and detecting the edges in an image. For noise ... (BCP) of noisy bilingual corpora based on imageprocessing (IP) techniques. By using one of several ways of estimating the lexical translation probability (LTP) between pairs of source and ... Gaussier and Lange 1993), and word sense disambiguation (Gale, Church and Yarowsky 1992; Chen, Ker, Sheng, and Chang 1997). Several methods have recently been proposed for sentence alignment of...
... 232. ImageJ 252.1 ImageManipulationand Processing 262.2 ImageJOverview 271.3 Image File Formats 13when selecting an appropriate file format:Type of image: These include black and white images, ... possible without theunderstanding and steady support of our families. Thanks go to Wayne Ras-band at NIH for developing and refining ImageJ andfor his truly outstandingsupport of the growing user ... directory.13www.eclipse.org.14www.netbeans.org.15www.borland.com.16Currently only for Windows; for MacOS and Linux, consult the ImageJ installationmanual.1 Digital Images For a long time, using a computer to manipulate a digitalimage (i. e., digital image...
... 498XLVIII List of ContributorsMichalˇSorelAcademy of Sciences of theCzech RepublicInstitute of InformationTheory and AutomationDepartment ofImage Processing Pod Vod´arenskou vˇeˇz´ı4182 ... Prague 8Czech RepublicFilipˇSroubekAcademy of Sciences of theCzech RepublicInstitute of InformationTheory and AutomationDepartment ofImage Processing Pod Vod´arenskou vˇeˇz´ı4182 ... (MPEG), and ITU-T standardization activities. Peter Schelkens isthe Belgian head of delegation for the ISO/IEC JPEG standardization committee,editor/chair of part 10 of JPEG 2000: ‘‘Extensions for...
... xix1Introduction 151.1 What Is DigitalImage Processing? 151.2 The Origins ofDigitalImageProcessing 171.3 Examples of Fields that Use DigitalImageProcessing 211.3.1 Gamma-Ray Imaging ... Fundamental Steps in DigitalImageProcessing 391.5 Components of an ImageProcessing System 42Summary 44References and Further Reading 452 Digital Image Fundamentals 342.1 Elements of Visual Perception ... Page iv10 Image Segmentation 56710.1 Detectionof Discontinuities 56810.1.1 Point Detection 56910.1.2 Line Detection 57010.1.3 Edge Detection 57210.2 Edge Linking and Boundary Detection...
... place of overlap be-tween imageprocessingandimage analysis is the area of recognition of indi-vidual regions or objects in an image. Thus, what we call in this book digital imageprocessing ... 1.18Images of the Crab Pulsar (in the center of images) covering the electromagnetic spectrum.(Courtesy of NASA.)1.3■Examples of Fields that Use DigitalImage Processing 21FIGURE 1.17MRI images ... of the digital computer. In fact, digital images require so much storage and computational power that progressin the field ofdigitalimageprocessing has been dependent on the developmentof...
... profit, not for profit, nonprofit, government, and vol-unteer organizations, and as a consultant to many major companies and organizations,I have been able to see and try many strategies for ... participants activelyget involved in the exchange of information and in problem-solving, for example, use of question -and- answer sessions and small group discussions in which several participantshave ... participants and their managers.Because of the brain’s complex nature, presenting information through a variety of activities, mediums, and senses increases the likelihood of comprehension and actionby...
... compare a pair of CFG filter-ing techniquesfor LTAG (Poller and Becker, 1998) and HPSG (Torisawa et al., 2000) described in Sec-tion 2.2.1 and 2.2.2. We hereafter refer to PB and TNT for the C++ ... CFGPB, and CFGTNThenceforth refer to theLTAG extracted from Section x of WSJ and CFGsapproximated from Gxby PB and TNT, respectively.The size of CFGTNTis much larger than that of CFGPB. ... al.,1988), and Head-Driven Phrase Structure Gram-mar (HPSG) (Pollard and Sag, 1994). Along withthe independent development of parsing techniques for individual grammar formalisms, some of themhave...
... $Cognitive and Computing Sciences, University of Sussex Falmer, Brighton BN1 9QH, UK *Center for the Study of Language and Information, Stanford University Ventura Hall, Stanford, CA 94305-4115, ... Ivan A. Sag. 1987. Information-Based Syntax and Seman- tics. Vol. I: Fundamentals. CSLI Lecture Notes, Number 13. Center for the Study of Language and Information, Stanford. Stuart M. Shieber. ... surprising, and in many cases do not fit in with the intuitions of the grammar-writers. In particular, some of the paths are very long (of length ten or more). Optimal sets of paths for grammars of...