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

By Saeed V. Vaseghi

Show description

Read or Download Advanced Signal Processing and Noise Reduction, 2nd Edition (Electrical Engineering & Applied Signal Processing Series) PDF

Best technique books

Recent developments of electrical drives: best papers from the International Conference on Electrical Machines, ICEM'04

Contemporary advancements of electric units  is composed of the papers which have been awarded on the XVI overseas convention on electric Machines - ICEM2004, which used to be held in Cracow, Poland on September 5-8, 2004. The contributions chosen for the ebook disguise a large spectrum of idea and perform, hence they're deeply rooted in engineering difficulties, being concurrently of excessive theoretical point.

Engineering of Functional Skeletal Tissues (Topics in Bone Biology, 3)

This is often the third quantity in a chain of reports situated at the unmarried significant subject of bone substitute, discussing the biology of stem cells and mobilephone indications, the information had to make stem cell-engineered bone tissue a fact, and the way to avoid bone allograft an infection. worthwhile as a followup to its predecessors, and as a stand-alone reference, it is going to curiosity a vast viewers from orthopedists and bioengineers to dentists.

Additional resources for Advanced Signal Processing and Noise Reduction, 2nd Edition (Electrical Engineering & Applied Signal Processing Series)

Example text

0 = Ts t ... –Fs Fs = f |X( f )| Xsh(t) S/H-sampled signal ... t ... 19 Sample-and-Hold signal modelled as impulse-train sampling followed by convolution with a rectangular pulse. frequency content (bandwidth) of B Hz, can be recovered from its samples provided that the sampling speed Fs>2B samples per second. 20. 19. 20 A simplified sample-and-hold circuit diagram. 2 Quantisation For digital signal processing, continuous-amplitude samples from the sample-and-hold are quantised and mapped into n-bit binary digits.

In this case, the analog signal can be recovered by passing the sampled signal through an analog low-pass filter with a cut-off frequency of Fs. If the sampling frequency is less than 2Fs, then the adjacent repetitions of the spectrum overlap and the original spectrum cannot be recovered. The distortion, due to an insufficiently high sampling rate, is irrevocable and is known as aliasing. This observation is the basis of the Nyquist sampling theorem which states: a band-limited continuous-time signal, with a highest 24 Introduction Time domain Frequency domain x(t) X(f) 0 B –B t f 2B × * Impulse-train-sampling function ...

Springer-Verlag, New York. B. L. (1958) An Introduction to the Theory of Random Signals and Noise. McGraw-Hill, New York. EPHRAIM Y. (1992) Statistical Model Based Speech Enhancement Systems. Proc. IEEE, 80, 10, pp. 1526–1555. G. (1963) Theory of Motion of Heavenly Bodies. Dover, New York. G. (1968) Information Theory and Reliable Communication. Wiley, New York. HAYKIN S. (1991) Adaptive Filter Theory. Prentice-Hall, Englewood Cliffs, NJ. HAYKIN S. (1985) Array Signal Processing. Prentice-Hall, Englewood Cliffs, NJ.

Download PDF sample

Rated 4.67 of 5 – based on 40 votes