دانلود کتاب Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing – تجزیه و تحلیل فوریه گسسته و موجک: کاربردها در پردازش سیگنال و تصویر

دسته بندی :
اطلاعات کتاب
  • جلد
  • سری
  • ویرایش 2nd
  • سال 2018
  • نویسنده (گان) S. Allen Broughton, Kurt Bryan
  • ناشر Wiley
  • زبان English
  • تعداد صفحات 465
  • حجم فایل 7.69MB
  • فرمت فایل pdf
  • شابک 1119258227, 9781119258223
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توضیحات

Delivers an appropriate mix of theory and applications to help readers understand the process and problems of image and signal analysis

Maintaining a comprehensive and accessible treatment of the concepts, methods, and applications of signal and image data transformation, this Second Edition of Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing features updated and revised coverage throughout with an emphasis on key and recent developments in the field of signal and image processing. Topical coverage includes: vector spaces, signals, and images; the discrete Fourier transform; the discrete cosine transform; convolution and filtering; windowing and localization; spectrograms; frames; filter banks; lifting schemes; and wavelets.

Discrete Fourier Analysis and Wavelets introduces a new chapter on framesa new technology in which signals, images, and other data are redundantly measured. This redundancy allows for more sophisticated signal analysis. The new coverage also expands upon the discussion on spectrograms using a frames approach. In addition, the book includes a new chapter on lifting schemes for wavelets and provides a variation on the original low-pass/high-pass filter bank approach to the design and implementation of wavelets. These new chapters also include appropriate exercises and MATLAB projects for further experimentation and practice.

Features updated and revised content throughout, continues to emphasize discreteand digital methods, and utilizes MATLAB to illustrate these concepts

Contains two new chapters on frames and lifting schemes, which take into account crucial new advances in the field of signal and image processing

Expands the discussion on spectrograms using a frames approach, which is an ideal method for reconstructing signals after information has been lost or corrupted (packet erasure)

Maintains a comprehensive treatment of linear signal processing for audio and image signals with a well-balanced and accessible selection of topics that appeal to a diverse audience within mathematics and engineering

Focuses on the underlying mathematics, especially the concepts of finite-dimensional vector spaces and matrix methods, and provides a rigorous model for signals and images based on vector spaces and linear algebra methods

Supplemented with a companion website containing solution sets and software exploration support for MATLAB and SciPy (Scientific Python)

Thoroughly class-tested over the past fifteen years, Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing is an appropriately self-contained book ideal for a one-semester course on the subject.

S. Allen Broughton, PhD, is Professor Emeritus of Mathematics at Rose-Hulman Institute of Technology. Dr. Broughton is a member of the American Mathematical Society (AMS) and the Society for the Industrial Applications of Mathematics (SIAM), and his research interests include the mathematics of image and signal processing, and wavelets.

Kurt Bryan, PhD, is Professor of Mathematics at Rose-Hulman Institute of Technology. Dr. Bryanis a member of MAA and SIAM and has authored over twenty peer-reviewed journal articles.

Kurt Bryan, PhD, is Professor of Mathematics at Rose-Hulman Institute of Technology. Dr. Bryanis a member of MAA and SIAM and has authored over twenty peer-reviewed journal articles.Maintaining a comprehensive and accessible treatment of the concepts, methods, and applications of signal and image data transformation, this Second Edition of Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing features updated and revised coverage throughout with an emphasis on key and recent developments in the field of signal and image processing. Topical coverage includes: vector spaces, signals, and images; the discrete Fourier transform; the discrete cosine transform; convolution and filtering; windowing and localization; spectrograms; frames; filter banks; lifting schemes; and wavelets.
Discrete Fourier Analysis and Wavelets introduces a new chapter on framesa new technology in which signals, images, and other data are redundantly measured. This redundancy allows for more sophisticated signal analysis. The new coverage also expands upon the discussion on spectrograms using a frames approach. In addition, the book includes a new chapter on lifting schemes for wavelets and provides a variation on the original low-pass/high-pass filter bank approach to the design and implementation of wavelets. These new chapters also include appropriate exercises and MATLAB projects for further experimentation and practice.
Features updated and revised content throughout, continues to emphasize discrete
and digital methods, and utilizes MATLAB to illustrate these concepts
Contains two new chapters on frames and lifting schemes, which take into account crucial new advances in the field of signal and image processing
Expands the discussion on spectrograms using a frames approach, which is an ideal method for reconstructing signals after information has been lost or corrupted (packet erasure)
Maintains a comprehensive treatment of linear signal processing for audio and image signals with a well-balanced and accessible selection of topics that appeal to a diverse audience within mathematics and engineering
Focuses on the underlying mathematics, especially the concepts of finite-dimensional vector spaces and matrix methods, and provides a rigorous model for signals and images based on vector spaces and linear algebra methods
Supplemented with a companion website containing solution sets and software exploration support for MATLAB and SciPy (Scientific Python)
Thoroughly class-tested over the past fifteen years, Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing is an appropriately self-contained book ideal for a one-semester course on the subject.
S. Allen Broughton, PhD, is Professor Emeritus of Mathematics at Rose-Hulman Institute of Technology. Dr. Broughton is a member of the American Mathematical Society (AMS) and the Society for the Industrial Applications of Mathematics (SIAM), and his research interests include the mathematics of image and signal processing, and wavelets.
Kurt Bryan, PhD, is Professor of Mathematics at Rose-Hulman Institute of Technology. Dr. Bryan
is a member of MAA and SIAM and has authored over twenty peer-reviewed journal articles.a comprehensive and accessible treatment of the concepts, methods, and applications of signal and image data transformation, this Second Edition of Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing features updated and revised coverage throughout with an emphasis on key and recent developments in the field of signal and image processing. Topical coverage includes: vector spaces, signals, and images; the discrete Fourier transform; the discrete cosine transform; convolution and filtering; windowing and localization; spectrograms; frames; filter banks; lifting schemes; and wavelets.
Discrete Fourier Analysis and Wavelets introduces a new chapter on framesa new technology in which signals, images, and other data are redundantly measured. This redundancy allows for more sophisticated signal analysis. The new coverage also expands upon the discussion on spectrograms using a frames approach. In addition, the book includes a new chapter on lifting schemes for wavelets and provides a variation on the original low-pass/high-pass filter bank approach to the design and implementation of wavelets. These new chapters also include appropriate exercises and MATLAB projects for further experimentation and practice.
Features updated and revised content throughout, continues to emphasize discrete
and digital methods, and utilizes MATLAB to illustrate these concepts
Contains two new chapters on frames and lifting schemes, which take into account crucial new advances in the field of signal and image processing
Expands the discussion on spectrograms using a frames approach, which is an ideal method for reconstructing signals after information has been lost or corrupted (packet erasure)
Maintains a comprehensive treatment of linear signal processing for audio and image signals with a well-balanced and accessible selection of topics that appeal to a diverse audience within mathematics and engineering
Focuses on the underlying mathematics, especially the concepts of finite-dimensional vector spaces and matrix methods, and provides a rigorous model for signals and images based on vector spaces and linear algebra methods
Supplemented with a companion website containing solution sets and software exploration support for MATLAB and SciPy (Scientific Python)
Thoroughly class-tested over the past fifteen years, Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing is an appropriately self-contained book ideal for a one-semester course on the subject.
S. Allen Broughton, PhD, is Professor Emeritus of Mathematics at Rose-Hulman Institute of Technology. Dr. Broughton is a member of the American Mathematical Society (AMS) and the Society for the Industrial Applications of Mathematics (SIAM), and his research interests include the mathematics of image and signal processing, and wavelets.
Kurt Bryan, PhD, is Professor of Mathematics at Rose-Hulman Institute of Technology. Dr. Bryan
is a member of MAA and SIAM and has authored over twenty peer-reviewed journal articles.

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ترجمه ماشینی :

ترکیب مناسبی از تئوری و کاربردها را برای کمک به خوانندگان در درک فرآیند و مشکلات تجزیه و تحلیل تصویر و سیگنال ارائه می‌کند

حفظ یک درمان جامع و در دسترس از مفاهیم، روش‌ها و برنامه‌های تبدیل داده‌های سیگنال و تصویر، این ویرایش دوم تحلیل فوریه گسسته و موجک‌ها: برنامه‌های کاربردی برای پردازش سیگنال و تصویر دارای پوشش به‌روز شده و اصلاح‌شده با تأکید بر پیشرفت‌های کلیدی و اخیر در این زمینه است. پردازش سیگنال و تصویر پوشش موضعی شامل: فضاهای برداری، سیگنال ها و تصاویر. تبدیل فوریه گسسته؛ تبدیل کسینوس گسسته؛ پیچیدگی و فیلترینگ؛ پنجره سازی و محلی سازی؛ طیف نگارها; قاب ها؛ بانک های فیلتر؛ طرح های بلند کردن؛ و موجک‌ها.

تحلیل فوریه گسسته و موجک‌ها فصل جدیدی را در زمینه فناوری جدید فریم‌ها معرفی می‌کند که در آن سیگنال‌ها، تصاویر و سایر داده‌ها به صورت اضافی اندازه‌گیری می‌شوند. این افزونگی امکان تجزیه و تحلیل سیگنال پیچیده تری را فراهم می کند. پوشش جدید همچنین بر بحث در مورد طیف‌نگارها با استفاده از رویکرد فریم گسترش می‌یابد. علاوه بر این، این کتاب شامل فصل جدیدی در طرح‌های بلند کردن موجک‌ها است و تغییراتی را در رویکرد بانک فیلتر پایین‌گذر/بالاگذر اصلی برای طراحی و اجرای موجک‌ها ارائه می‌کند. این فصل‌های جدید همچنین شامل تمرین‌های مناسب و پروژه‌های متلب برای آزمایش‌ها و تمرین‌های بیشتر می‌شوند.

محتوای به‌روزرسانی و اصلاح‌شده را در سراسر ارائه می‌دهد، همچنان بر روش‌های گسسته و دیجیتال تأکید می‌کند و از MATLAB برای نشان دادن این مفاهیم استفاده می‌کند

شامل دو فصل جدید در مورد قاب‌ها و طرح‌های بالابر است که پیشرفت‌های جدید و حیاتی در زمینه پردازش سیگنال و تصویر را در نظر می‌گیرد

بحث در مورد طیف‌نگارها را با استفاده از رویکرد فریم، که یک روش ایده‌آل برای بازسازی است، گسترش می‌دهد. سیگنال‌های پس از گم شدن یا خراب شدن اطلاعات (پاک کردن بسته‌ها)

یک پردازش جامع از پردازش سیگنال خطی برای سیگنال‌های صوتی و تصویری را با انتخابی متعادل و قابل دسترس از موضوعاتی که برای مخاطبان متنوع در ریاضیات جذاب است حفظ می‌کند. و مهندسی

بر ریاضیات زیربنایی، به ویژه مفاهیم فضاهای برداری محدود و روش های ماتریس تمرکز می کند و مدل دقیقی برای سیگنال ها و تصاویر بر اساس فضاهای برداری و روش های جبر خطی ارائه می دهد

< p> همراه با یک وب سایت همراه حاوی مجموعه راه حل ها و پشتیبانی کاوش نرم افزار برای MATLAB و SciPy (Scientific Python)

به طور کامل در پانزده سال گذشته آزمایش شده است

 

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