Signals and Systems Analysis In Biomedical Engineering 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Signals and Systems Analysis In Biomedical Engineering

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Robert B. Northrop 作者
CRC
譯者
2003-03-12 出版日期
432 頁數
USD 104.95 價格
Hardcover
叢書系列
9780849315572 圖書編碼

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Signals and Systems Analysis In Biomedical Engineering 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Signals and Systems Analysis In Biomedical Engineering 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Signals and Systems Analysis In Biomedical Engineering 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Signals and Systems Analysis In Biomedical Engineering 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Signals and Systems Analysis In Biomedical Engineering 在線電子書 圖書描述

The interdisciplinary field of biomedical engineering requires its practitioners to master not only engineering skills, but also a diversity of material in the biological sciences. This text helps biomedical engineers strengthen their skills in the common network of applied mathematics that ties together these diverse disciplines. Based on the author's 30 years of experience in teaching as well as his personal research on neurosensory systems, Signals and Systems Analysis in Biomedical Engineering provides a ready source of information on those specialized mathematical techniques most useful in describing and analyzing biomedical signals, including ECG, EEG, blood pressure, biochemical spectrograms, and tomographic images. Enriched with many examples that promote sound practical analysis, this book: Presents the traditional systems mathematics used to characterize linear time-invariant (LTI) systems and, given inputs, find their outputs Explains the relations between impulse response, real convolution, transfer functions and frequency response functions Reviews specialized mathematical techniques used to characterize and model nonlinear systems Introduces the basic mathematical tools used to describe noise and how it propagates through LTI and NLTI systems Describes how signal-to-noise ratio can be improved by signal averaging and linear and nonlinear filtering

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