By John L. Semmlow

ISBN-10: 0824748034

ISBN-13: 9780824748036

Depending seriously on MATLAB® difficulties and examples, in addition to simulated facts, this text/reference surveys an unlimited array of sign and picture processing instruments for biomedical purposes, delivering a operating wisdom of the applied sciences addressed whereas showcasing important implementation approaches, universal pitfalls, and crucial software innovations. the 1st and in simple terms textbook to provide a hands-on educational in biomedical sign and photograph processing, it deals a different and confirmed method of sign processing guideline, not like the other competing resource at the subject. The textual content is observed by means of a CD with aid facts documents and software program together with all MATLAB examples and figures present in the text.

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**Example text**

C) and (D) The distribution obtained when 3 and 8 random numbers, still uniformly distributed, are averaged together. Although the underlying distribution is uniform, the averages of these uniformly distributed numbers tend toward a Gaussian distribution (dotted line). This is an example of the Central Limit Theorem at work. 1D, even though the numbers being averaged have a uniform distribution. The probability of a Gaussianly distributed variable, x, is specified in the well-known normal or Gaussian distribution equation: p(x) = 1 σ√2π 2 e−x /2σ 2 (1) TLFeBOOK Basic Concepts 33 Two important properties of a random variable are its mean, or average value, and its variance, the term σ2 in Eq.

PROBLEMS 1. A single sinusoidal signal is contained in noise. 5 volts and the SNR is 10 db. What is the peak-to-peak amplitude of the sinusoid? TLFeBOOK Introduction 29 2. A resistor produces 10 µV noise when the room temperature is 310°K and the bandwidth is 1 kHz. What current noise would be produced by this resistor? 3. 5 µV at a room temperature of 310 °K. What is the effective bandwidth of the voltmeter? 4. 3µA/µW (at a wavelength of 700 nm). In this circuit, there are three sources of noise.

X[n]. Throughout this text we reserve brackets to indicate a series of numbers, or vector, following the MATLAB format. 16 A continuous signal (upper trace) is sampled at discrete points in time and stored in memory as an array of proportional numbers (lower trace). known. Converting back to relative time is then achieved by multiplying the sequence number, n, by the sampling interval, Ts: x(t) = x(nTs). Sampling theory is discussed in the next chapter and states that a sinusoid can be uniquely reconstructed providing it has been sampled by at least two equally spaced points over a cycle.