Biomedical signal and image processing
Kayvan Najarian
Reading Time
at 250 WPM6h 51m
The average reader, reading at a speed of 250 WPM, would take 6h 51m to read Biomedical signal and image processing.
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14
days at 30 min/day
411
total minutes
Biomedical signal and image processing
by Kayvan Najarian, Robert Splinter
Published
2016
Publisher
Taylor & Francis Group
Pages
411
ISBN-13
9780429106774
Description
First published in 2005, Biomedical Signal and Image Processing received wide and welcome reception from universities and industry research institutions alike, offering detailed, yet accessible information at the reference, upper undergraduate, and first year graduate level. Retaining all of the quality and precision of the first edition, Biomedical Signal and Image Processing, Second Edition offers a number of revisions and improvements to provide the most up-to-date reference available on the fundamental signal and image processing techniques that are used to process biomedical information. Addressing the application of standard and novel processing techniques to some of today’s principle biomedical signals and images over three sections, the book begins with an introduction to digital signal and image processing, including Fourier transform, image filtering, edge detection, and wavelet transform. The second section investigates specifically biomedical signals, such as ECG, EEG, and EMG, while the third focuses on imaging using CT, X-Ray, MRI, ultrasound, positron, and other biomedical imaging techniques. Updated and expanded, Biomedical Signal and Image Processing, Second Edition offers numerous additional, predominantly MATLAB, examples to all chapters to illustrate the concepts described in the text and ensure a complete understanding of the material. The author takes great care to clarify ambiguities in some mathematical equations and to further explain and justify the more complex signal and image processing concepts to offer a complete and understandable approach to complicated concepts.
Subjects
Digital signal processing
Fundamentals of Signals and Systems Using the Web and Matlab
Discrete-time signal processing
Solutions Manual for "Probabilistic Methods of Signal and System Analysis, Third Edition"
Control and Dynamic Systems
Solutions Manual for Signals and Systems Primer with MATLAB
Frequently Asked Questions
How many pages are in Biomedical signal and image processing?
This edition of Biomedical signal and image processing has approximately 411 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Biomedical signal and image processing?
For most readers, Biomedical signal and image processing typically takes between 8h 34m and 5h 43m to complete. This is based on the book's length of approximately 102,750 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 6h 51m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 14 days • Estimated word count: 102,750 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Biomedical signal and image processing?
The estimated word count for Biomedical signal and image processing is approximately 102,750 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Biomedical signal and image processing?
Biomedical signal and image processing was written by Kayvan Najarian, Robert Splinter.
When was Biomedical signal and image processing published?
The publication date for this specific edition is 2016. The original work may have been published on a different date.