By Richard G. Lyons
The results of DSP has entered each section of our lives, from making a song greeting playing cards to CD avid gamers and cellphones to scientific x-ray research. with no DSP, there will be no web. lately, each point of engineering and technology has been motivated by way of DSP as a result of the ubiquitous machine desktop and on hand sign processing software program. This ebook offers engineers and scientists, who're relative newcomers to DSP, their top chance to benefit the fundamental mathematical and practical-engineering facets of the burgeoning box of DSP. The ebook moves the suitable stability of mathematical point, and sensible engineering tips, making it obtainable to the newbie with no dumbing down the subject of DSP. This version of realizing electronic sign Processing will proceed bridging the space among DSP conception and perform. The presentation of extra quadrature processing fabric makes the publication extra correct, and worthwhile, to DSP practitioners within the burgeoning fields of electronic communications and instant networking structures. the hot electronic filtering fabric covers sleek filter out layout suggestions no longer lined in our competitor's books. eventually, the preferred 'Digital sign Processing tips' fabric can be improved to additional relief operating DSP engineers clear up their day by day sign processing difficulties as they layout and construct advertisement items and aerospace structures.
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Extra info for Understanding Digital Signal Processing (2nd Edition)
1, all we need to remember at this point is the simple rule that multiplication of real signal samples by (-1)" is equivalent to multiplying by a cosine whose frequency is L/2. In the frequency domain, this multiplication flips the positive frequency band of interest, from zero to +4/2 Hz, aboutf,/4 Hz, and flips the negative frequency band of interest, from -f,/2 to zero Hz, about -4/4 Hz as shown in Figure 2-17. The (-1)" sequence is not only used for inverting the spectra of bandpass sampled sequences; it can be used to invert the spectra of low-pass sampled signals.
39, No. 9, September 1991, pp. 1973-1984. , and Evans, A. "Vehicle Locator Uses Spread Spectrum Technology," RV Design, October 1992. CHAPTER THREE The Discrete Fourier Transform The discrete Fourier transform (DFT) is one of the two most common, and powerful, procedures encountered in the field of digital signal processing. ) The DFT enables us to analyze, manipulate, and synthesize signals in ways not possible with continuous (analog) signal processing. Even though it's now used in almost every field of engineering, we'll see applications for DFT continue to flourish as its utility becomes more widely understood.
2-10) by dividing it by the bandwidth B, we get a bold-line plot whose axes are normalized to the bandwidth shown as the solid curve in Figure 2-10. This figure shows us the minimum normalized sample rate as a function of the normalized highest frequency component in the bandpass signal. Notice that, regardless of the value of R, the minimum sampling rate need never exceed 4B and approaches 2B as the carrier frequency increases. Surprisingly, the minimum acceptable sampling frequency actually decreases as the bandpass signal's carrier frequency increases.