## Communication Theory; Transmission of Waveforms and Digital Information |

### What people are saying - Write a review

We haven't found any reviews in the usual places.

### Contents

CHAPTER INTRODUCTION | 1 |

DESCRIPTION OF SIGNALS | 9 |

PROBABILITY THEORY | 65 |

Copyright | |

9 other sections not shown

### Other editions - View all

### Common terms and phrases

2nfot 2nft amplitude modulation approximation assume bandwidth bandwidth occupancy carrier causal causal filter channel Chapter characteristic function components correlation function defined demodulation denote density function discussion equation estimate evaluate expression Figure Fourier transform frequency function x(t gaussian process gaussian random variables given by Eq impulse response input integral interval Let us consider linear filter lºſt low-pass filter matrix mean-square error message process message signal modulated signal nonzero notation Note observation occurs optimum filter orthogonal orthonormal output Parseval's theorem performance phase phase-lock loop probability Problem process X(t pulse modulation quantity quantization random process receiver referred region of convergence result sample function sample point Show shown in Fig signal set signal z(t signal-to-noise ratio ſº spectral density spectrum stationary stationary process statistically independent synchronous demodulation theorem transfer function transmission transmitted signal yields zero zero-mean