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Introduction to the Issue
Digital Signal Processing 9, 223–224 (1999) Article ID dspr.1999.0353, available online at http://www.idealibrary.com on
EDITORIAL Introduction to the Issue We welcome you to the October issue of DSP. This issue contains an interesting variety of articles: ‘‘Signal Representation by Adaptive Biased Wavelet Expansions,’’ ‘‘GloveSignature: A Virtual-Reality-Based System for Dynamic Signature Verification,’’ ‘‘A Fast and Robust Algorithm for DOA Estimation of a Spatially Dispersed Source,’’ ‘‘Misclassification Probability Bounds for Multivariate Gaussian Classes,’’ ‘‘A New Look at the Power Method for Fast Subspace Tracking,’’ and ‘‘Optimality and Almost Sure Convergence of Adaptive IIR Filters with Output Error Recursion.’’ The article on signature verification reports the novel use of a data glove and falls under the field of biometrics; some other familiar examples include fingerprint, facial, and speaker recognition. Speaking of speaker recognition, we have a special issue of DSP in the works on this topic. Those interested in biometrics are invited to visit the Biometric Consortium’s Web site at http://www.biometrics.org/. Academic Press has some nice changes in store for us all during 2000, including format improvements, accelerated article-by-article publication (articles will be available on the Web as soon as they are ready instead of waiting for an issue to be published), and switching to a compositor that can handle TeX files. The Editorial Board is working on an Article Classification scheme to improve the organization of our journal and speed the review process. We are also working on a new online manuscript review form for quick and easy submission of reviews (available on the DSP Web site at http://www.academicpress.com/dsp). These additions will result in even faster publication times. As mentioned in the previous issue’s editorial, we continue to refine the scope of our journal and call upon the general readership for comments. As summarized by Academic Press’ Emma Roberts, ‘‘The opinion is that the scope is rather general and does not focus on the real fields of interest to the journal. We need to ask, ‘Who will read the journal?’ and then publish papers for those readers. Trying to please too many people is a problem. Editorial Board members and readers should send their recommendations for changes to the scope (additions, deletions, rewording, etc.) to the editors, Jim Schroeder and Joe Campbell, and to Emma Roberts and a new scope will be devised.’’ We have received copious input from our Editorial Board, but we also want to hear what the readers of DSP feel about the existing scope and, more importantly, what should be changed in the future. Please e-mail any specific comments or issues of interest to you. As always, we welcome your comments. 1051-2004/99 $30.00 Copyright r 1999 by Academic Press All rights of reproduction in any form reserved.
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The current scope of DSP, as written on the journal home page (http: www.academicpress.com/dsp), is: Digital Signal Processing: A Review Journal illuminates and explores the path of creativity in the field of signal processing. The content is diverse, covering new technologies, significant new programs, and breakthroughs in the field. Each article is critically peer-reviewed ensuring top-quality research and information. The journal is a time-saving aid to electronic engineers and to researchers, scientists, and corporate managers who want to keep abreast of vital research and information that is typically scattered among a number of separate publications. Digital signal processing, a discipline that spans electrical engineering and computer, mathematical, and the physical sciences, includes topics such as image processing, neural networks, pattern recognition, digital communications, biomedical applications, speech processing, underwater acoustics, radar signal processing, astronomy, and geophysical data analysis.
Joe spread the word about DSP, and our sister journal Computer Speech and Language, at the Eurospeech conference in Budapest, Hungary. An entire week was devoted to speech, and the close proximity to the Danube River made it most enjoyable. We hope we will see even more European readers and authors as a result. We are happy to report news from Turkey that the people and facilities for ICASSP 2000 are fine. The recent earthquake in Izmit caused no damage to the part of Istanbul where the ICASSP conference facilities, hotels, museums, and business centers are located. The meeting venue, hotels, and schedule are all unaffected. Please see the ICASSP Web site for details (http://icassp2000.sdsu.edu/). Joe Campbell and Jim Schroeder Co-Editors
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EDITORIAL Introduction to the Issue We welcome you to the October issue of DSP. This issue contains an interesting variety of articles: ‘‘Signal Representation by Adaptive Biased Wavelet Expansions,’’ ‘‘GloveSignature: A Virtual-Reality-Based System for Dynamic Signature Verification,’’ ‘‘A Fast and Robust Algorithm for DOA Estimation of a Spatially Dispersed Source,’’ ‘‘Misclassification Probability Bounds for Multivariate Gaussian Classes,’’ ‘‘A New Look at the Power Method for Fast Subspace Tracking,’’ and ‘‘Optimality and Almost Sure Convergence of Adaptive IIR Filters with Output Error Recursion.’’ The article on signature verification reports the novel use of a data glove and falls under the field of biometrics; some other familiar examples include fingerprint, facial, and speaker recognition. Speaking of speaker recognition, we have a special issue of DSP in the works on this topic. Those interested in biometrics are invited to visit the Biometric Consortium’s Web site at http://www.biometrics.org/. Academic Press has some nice changes in store for us all during 2000, including format improvements, accelerated article-by-article publication (articles will be available on the Web as soon as they are ready instead of waiting for an issue to be published), and switching to a compositor that can handle TeX files. The Editorial Board is working on an Article Classification scheme to improve the organization of our journal and speed the review process. We are also working on a new online manuscript review form for quick and easy submission of reviews (available on the DSP Web site at http://www.academicpress.com/dsp). These additions will result in even faster publication times. As mentioned in the previous issue’s editorial, we continue to refine the scope of our journal and call upon the general readership for comments. As summarized by Academic Press’ Emma Roberts, ‘‘The opinion is that the scope is rather general and does not focus on the real fields of interest to the journal. We need to ask, ‘Who will read the journal?’ and then publish papers for those readers. Trying to please too many people is a problem. Editorial Board members and readers should send their recommendations for changes to the scope (additions, deletions, rewording, etc.) to the editors, Jim Schroeder and Joe Campbell, and to Emma Roberts and a new scope will be devised.’’ We have received copious input from our Editorial Board, but we also want to hear what the readers of DSP feel about the existing scope and, more importantly, what should be changed in the future. Please e-mail any specific comments or issues of interest to you. As always, we welcome your comments. 1051-2004/99 $30.00 Copyright r 1999 by Academic Press All rights of reproduction in any form reserved.
223
The current scope of DSP, as written on the journal home page (http: www.academicpress.com/dsp), is: Digital Signal Processing: A Review Journal illuminates and explores the path of creativity in the field of signal processing. The content is diverse, covering new technologies, significant new programs, and breakthroughs in the field. Each article is critically peer-reviewed ensuring top-quality research and information. The journal is a time-saving aid to electronic engineers and to researchers, scientists, and corporate managers who want to keep abreast of vital research and information that is typically scattered among a number of separate publications. Digital signal processing, a discipline that spans electrical engineering and computer, mathematical, and the physical sciences, includes topics such as image processing, neural networks, pattern recognition, digital communications, biomedical applications, speech processing, underwater acoustics, radar signal processing, astronomy, and geophysical data analysis.
Joe spread the word about DSP, and our sister journal Computer Speech and Language, at the Eurospeech conference in Budapest, Hungary. An entire week was devoted to speech, and the close proximity to the Danube River made it most enjoyable. We hope we will see even more European readers and authors as a result. We are happy to report news from Turkey that the people and facilities for ICASSP 2000 are fine. The recent earthquake in Izmit caused no damage to the part of Istanbul where the ICASSP conference facilities, hotels, museums, and business centers are located. The meeting venue, hotels, and schedule are all unaffected. Please see the ICASSP Web site for details (http://icassp2000.sdsu.edu/). Joe Campbell and Jim Schroeder Co-Editors
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