Biosignal and Medical Image Processing by Yukihiko Hara

By Yukihiko Hara

Depending seriously on MATLAB® difficulties and examples, in addition to simulated facts, this text/reference surveys an unlimited array of sign and photo processing instruments for biomedical applications—providing a operating wisdom of the applied sciences addressed whereas showcasing precious implementation strategies, universal pitfalls, and crucial software innovations.

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414), 0 db means the signal and noise are equal in RMS value, Copyright 2004 by Marcel Dekker, Inc. All Rights Reserved. 414, and −20 db means the signal is 1/10 of the noise in RMS units. 6 shows a sinusoidal signal with various amounts of white noise. Note that is it is difficult to detect presence of the signal visually when the SNR is −3 db, and impossible when the SNR is −10 db. The ability to detect signals with low SNR is the goal and motivation for many of the signal processing tools described in this text.

In this protocol, termed spatial coordinates, the pixel is considered to be a square patch, the center of which has an integer value. 2). In this spatial coordinate system, the locations of image coordinates are positions on a (discrete) plane and are described by general variables x and y. The are two sources of potential confusion with this system. As with the pixel coordinate system, the vertical axis increases downward. In addition, the positions of the vertical and horizontal indexes (now better though of as coordinates) are switched: the horizontal index is first, followed by the vertical coordinate, as with conventional x,y coordinate references.

One simple adjustment strategy is to increase the binary number by one each cycle if VDAC < Vin, or decrease it otherwise. 14). Not only can the conversion time be quite long, but it is variable since it depends on the dynamics of the input signal. This strategy would not easily allow for sampling an analog signal at a fixed rate due to the variability in conversion time. An alternative strategy termed successive approximation allows the conversion to be done at a fixed rate and is well-suited to digital technology.

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