## Principles of communication engineeringThis book provides a cohesive introduction to much of the vast body of knowledge central to the problems of communication engineering. |

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Quadrature Amplitude Modulator

### Contents

Introduction | 1 |

Probability Theory | 12 |

Random Waveforms | 129 |

Copyright | |

7 other sections not shown

### Other editions - View all

Principles of Communication Engineering John M. Wozencraft,Irwin Mark Jacobs No preview available - 1990 |

### Common terms and phrases

additive white Gaussian approximation assume bandpass bandwidth binary bound of Eq central limit theorem Chernoff bound coder codeword communication system components conditional conditional probability consider convolutional codes decision regions defined demodulator denote determine digits DSB-SC energy ensemble equally likely messages Equation error probability event example exponentially Figure finite follows frequency Gaussian noise channel Gaussian process Gaussian random variables Hamming distance illustrated in Fig implies impulse response input integral interval linear filter lowpass matched filter matrix maximum maximum-likelihood receiver mean mean-square error modulation observe obtained optimum receiver orthogonal signals orthonormal output parameter power density probability density probability density function probability of error problem pulse quantization random process received signal result sample functions sample space sequence shown in Fig signal set signal vectors specified stationary statistically independent theorem transformation transmission transmitted signal variance waveforms white Gaussian noise yields zero