Download An Introduction to Signal Detection and Estimation (Springer by H. Vincent Poor PDF

By H. Vincent Poor

Crucial heritage interpreting for engineers and scientists operating in such fields as communications, keep watch over, sign, and picture processing, radar and sonar, radio astronomy, seismology, distant sensing, and instrumentation. The ebook can be utilized as a textbook for a unmarried direction, in addition to a mixture of an introductory and a sophisticated path, or perhaps for 2 separate classes, one in sign detection, the opposite in estimation.

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Extra info for An Introduction to Signal Detection and Estimation (Springer Texts in Electrical Engineering)

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Fm Page 45 Tuesday, May 23, 2006 8:22 AM MEASUREMENT UNCERTAINTY 45 +2% Deviation Curve +1% 0 Actual or Ideal Value –1% % Deviation from Normal (Actual or Ideal) –2% Figure 3–6 Normalized deviation curve. MEASUREMENT UNCERTAINTY Measurement uncertainty is a term used to describe how good of a measurement a measurement will be, or, in more technical terms, how reliable the measurement will be. Measurement uncertainty depends heavily on the use of statistical and probability mathematics. In order to gauge measurement uncertainty with any degree of success, more than a single set of measurements is required.

1 MEAN Table 3–1 is a list of meter readings. The meter used to gather the measurements shown in Table 3–1 has a guaranteed accuracy of 5%. The scale is 0V to 10V DC. What assumptions regarding the true value could one make by scanning these measurements? 0 volts. 0. Experience teaches that in a list of measurements, the real value should be near the average of all the readings. Although statistical proofs of this are beyond the scope of this text, it is the average value that has the highest probability of being the real value (with no systematic error).

Span Error. Span error results when the instrument does not indicate full scale correctly even if the zero is correct. This is generally considered to be a linear error that increases as the value measured increases from zero. A span error is shown in Figure 3–3. Figure 3–2 Examples of zero errors. book Page 43 Monday, May 22, 2006 4:57 PM CALIBRATION CURVES 43 Figure 3–3 Examples of span error. Figure 3–4 Examples of zero and span error. Generally, both types of error will exist in preliminary calibrations.

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