# An introduction to signal detection and estimation by H. Vincent Poor

By H. Vincent Poor

This e-book presents an creation to the fundamental thought and strategies of sign detection and estimation. It offers crucial historical past for engineers and scientists operating in a few fields, together with communications, keep watch over, sign and picture processing, radar and sonar, radio astronomy, seismology, distant sensing, and instrumentation. The therapy can be utilized as a textbook in different educational modes, together with as a unmarried direction; a two-tiered blend of an introductory path and a sophisticated path; or as separate classes, one in sign detection, the opposite in estimation.

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Additional info for An introduction to signal detection and estimation

Example text

We proceed now to find the Fourier transform of the RepT(. ) function, which in effect is to find the Fourier transform of a periodic function. 27, where we see that the Fourier transform of the periodic function is a line spectrum with lines at intervals of 1/T and the envelope Y(f), the Fourier transform of one period of the periodic function. lo Strictly speaking, one cannot take the Fourier transform of a periodic signal because periodic signals have infinite energy. 23h) has validity if time and frequency are exchanged.

Cixi . . cn-1xn-l xn. + + + + + + + configuration. As is thoroughly discussed in Chapter 6, the sequences generated by such an LFSR with an initial loading of nonzero n-tuples in the n stages, are periodic sequences with length P = 2" - 1, and there are P different sequences of length P that are shifted versions of the given initial sequence of length P. The sequences generated in this way are the ones used. What is so special about these sequences that makes it possible to realize such CDMA systems as IS-95?

5 Let us assume that a linear filter, designated "ideal filter #I," has a rectangular amplitude frequency characteristic given by H ( f ) = Rect(f /Rc), where Rc is the cutoff frequency. 16 Fourier transform pair Rect(t) sinc( f ). 17 Fourier transform pair Rect(t/Tc) - Tcsinc(Tc f ). 18. Note that ideal filter #1 is has an impulse response that is neither finite (in time extent) nor causal. 6 We will show that shifted sinc functions are mutually onhogonal, namely that where m and n are integers.