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C H A P T E R 11 PERFORMANCE ANALYSIS OF DIGITAL COMMUNICATION SYSTEMS. Figure 11.1 Typical binary polar signaling and linear receiver. Figure 11.2 Optimum choice for sampling instant. Figure 11.3 Correlation detector. Figure 11.4 Optimum binary threshold detection.
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C H A P T E R 11 PERFORMANCE ANALYSIS OF DIGITAL COMMUNICATION SYSTEMS
Figure 11.1 Typical binary polar signaling and linear receiver.
Figure 11.5 Realization of the optimum binary threshold detector.
Figure 11.6 (a) Optimum threshold detector and (b) its error probability for polar signaling.
Figure 11.9 Coherent detection of digital modulated signals.
Figure 11.10 Optimum coherent detection of binary FSK signals.
Figure 11.11 (a) The minimum of the sinc function and (b) the MSK spectrum.
Figure 11.12 Signals and their representation in signal space.
Figure 11.13 Geometrical representation of a Gaussian random process.
Figure 11.15 Effect of Gaussian channel noise on the received signal.
Figure 11.17 Eliminating the noise orthogonal to signal space.
Figure 11.18 Optimum M-ary receiver: (a) matched filter detector; (b) correlation detector.
Figure 11.19 Another form of optimum M-ary receiver: (a) correlator; (b) matched filter.
Figure 11.20 Determining optimum decision regions in a binary case.
Figure 11.22 Decision regions for the binary case in this example.
Figure 11.23 (a) Conditional PDFs in PAM. (b) Error probability in PAM.
Figure 11.28 Error probability of orthogonal signaling and coherent MFSK.
