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Titlebook: Signal Processing of Random Physiological Signals; Charles S. Lessard Book 2008 Springer Nature Switzerland AG 2008

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发表于 2025-3-21 19:34:59 | 显示全部楼层 |阅读模式
书目名称Signal Processing of Random Physiological Signals
编辑Charles S. Lessard
视频video
丛书名称Synthesis Lectures on Biomedical Engineering
图书封面Titlebook: Signal Processing of Random Physiological Signals;  Charles S. Lessard Book 2008 Springer Nature Switzerland AG 2008
描述This lecture book is intended to be an accessible and comprehensive introduction to random signal processing with an emphasis on the real-world applications of biosignals. Although the material has been written and developed primarily for advanced undergraduate biomedical engineering students it will also be of interest to engineers and interested biomedical professionals of any discipline seeking an introduction to the field. Within education, most biomedical engineering programs are aimed to provide the knowledge required of a graduate student while undergraduate programs are geared toward designing circuits and of evaluating only the cardiac signals. Very few programs teach the processes with which to evaluate brainwave, sleep, respiratory sounds, heart valve sounds, electromyograms, electro-oculograms, or random signals acquired from the body. The primary goal of this lecture book is to help the reader understand the time and frequency domain processes which may be used and to evaluate random physiological signals. A secondary goal is to learn the evaluation of actual mammalian data without spending most the time writing software programs. This publication utilizes “DADiSP”, a
出版日期Book 2008
版次1
doihttps://doi.org/10.1007/978-3-031-01610-3
isbn_softcover978-3-031-00482-7
isbn_ebook978-3-031-01610-3Series ISSN 1930-0328 Series E-ISSN 1930-0336
issn_series 1930-0328
copyrightSpringer Nature Switzerland AG 2008
The information of publication is updating

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Digital Filters,ader to write digital filter programs, but rather to present the engineer with the ability to use application software with filters and to choose the proper filter for specific biomedical applications. Let us start with the basic question, “What are Filters?” By definition, “Filters are circuits tha
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Fast Fourier Transform,means of digital computers. The FFT is a method for efficiently computing the Discrete Fourier Transform (DFT) of a digitized time series or discrete data samples. The FFT takes advantage of the symmetrical properties of periodic sinusoidal waveforms. Before development of the FFT, transformation of
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Window Functions and Spectral Leakage,onorthogonal trigonometric basis function over the interval of analysis. Only frequencies that coincide with the basis function will project on a single basis vector, such as shown in Fig. 16.1. Signals, which include frequencies not on the basis set, will not be periodic in the observing interval (
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Book 2008ations of biosignals. Although the material has been written and developed primarily for advanced undergraduate biomedical engineering students it will also be of interest to engineers and interested biomedical professionals of any discipline seeking an introduction to the field. Within education, m
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