New PDF release: Advanced Signal Processing and Noise Reduction, 2nd Edition

By Saeed V. Vaseghi

ISBN-10: 0471626929

ISBN-13: 9780471626923

This can be a e-book approximately electronic sign processing noise relief ideas. the choice of strategies coated is particularly extensive, even more huge than such a lot books i've got obvious during this field.

Unfortunately, the publication has a few serious shortcomings. As one other reviewer has pointed out, the remedy of every approach is just too shallow to be precious, and the bibliography less than invaluable. A important bibliography for every part may confer with extra wide remedies that will be usable for layout and implementation. The bibliography for every bankruptcy is as a substitute dated and nonspecific, along with a likely random selection of technical experiences, papers, and books released over 3 or 4 decades.

The publication is full of equations, that are complicated to learn. they seem to were typeset utilizing a observe processor that didn't safely house mathematical symbols. for instance, functionality parameters (in parentheses) are usually towards the next issue than the functionality identify. The equations are usually demanding to learn. The equations facing non-stop capabilities are in most cases simple to interpret, yet these facing discrete-time capabilities are often written with indices in parentheses rather than as subscripts. As you're analyzing during the arithmetic, you'll want to separate on your brain the features (with parameters) from the vector parts (with indices). The typesetting sometimes renders greek symbols in a daring font, so occasionally at the related web page you've an analogous symbols in several equations bolded or no longer bolded.

Another challenge with the math comes approximately as a result of the extensiveness of the cloth. assorted sign processing thoughts have varied mathematical histories, and for this reason assorted naming conventions. the writer commonly makes use of the traditional mathematical notation for every process, resulting in jarring transitions from part to section.

All in all, i believe this would be a truly necessary e-book, if it have been extra rigorously written, typeset correctly, if the therapy of every method have been greater encouraged and entire adequate to exploit, and if the bibliography supplied beneficial references to really good remedies of person themes.

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Additional resources for Advanced Signal Processing and Noise Reduction, 2nd Edition

Sample text

7) where N is the length of x(m) . 9)  0 otherwise where bˆ (m) is an estimate of the binary state indicator sequence b(m), and it may be erroneous in particular if the signal–to–noise ratio is low. 1 lists four possible outcomes that together b(m) and its estimate bˆ (m) can assume. 1 Four possible outcomes in a signal detection problem. 13 Sonar: detection of objects using the intensity and time delay of reflected sound waves. detector. The higher the threshold, the less the likelihood that noise would be classified as signal, so the false alarm rate falls, but the probability of misclassification of signal as noise increases.

13) where A(t), the time-varying amplitude of the reflected wave, depends on the position and the characteristics of the target, r(t) is the time-varying distance of the object from the radar and c is the velocity of light. The time-varying distance of the object can be expanded in a Taylor series as r ( t ) = r0 + rt + 1 2 1 3 rt + rt +  2! 3! 14) where r0 is the distance, r is the velocity, r is the acceleration etc. 17) This shift in frequency is known as the Doppler frequency. If the object is moving towards the radar then the distance r(t) is decreasing with time, r is negative, and an increase in the frequency is observed.

Van Nostrand, London. R. (1960) Electrical Noise. McGraw-Hill. NewYork. B. L. (1958) An Introduction to the Theory of Random Signals and Noise. McGraw-Hill, New York. J. (1993) The Restoration of Degraded Audio Signals. D. Thesis, Cambridge University. SCHWARTZ M. (1990) Information Transmission, Modulation and Noise. , McGraw-Hill, New York. EPHRAIM Y. (1992) Statistical Model Based Speech Enhancement Systems. Proc. IEEE 80, 10, pp. 1526–1555. L. (1971) Detection, Estimation and Modulation Theory.

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Advanced Signal Processing and Noise Reduction, 2nd Edition by Saeed V. Vaseghi


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