## Probability and Information Theory: With Applications to Radar, Volume 3 |

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### Contents

THE MATHEMATICAL ANALYSIS OF RADAR INFOR PAGE | 6 |

WAVEFORM ANALYSIS AND NOISE | 26 |

INFORMATION THEORY | 43 |

4 other sections not shown

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### Common terms and phrases

ambiguity amplitude assumed average bandwidth binary binomial distribution capacity Chapter characteristic function complex components convolution delta-function denoted described determined electronics energy entropy equally probable example exponential expression filter formula Fourier frequency modulated gain of information Gaussian distribution Gaussian noise given independent integral inverse probability kp(x large number likelihood function logarithm mathematical maximises maximum mean noise power message-state negative frequencies noise power normal distribution normalisation notation observer obtained output pair PARSEVAL'S theorem peak possible posterior distribution posterior probability prior distribution prior probability probability distribution problem pulse purely real pv(r pv(x px(y radar random quantities range real waveform receiver reception Red Red Red represented result sequence SHANNON shown in fig signal signal/noise ratio simple spectrum statistical statistically independent stray parameter substituting sufficient solution Suppose theory threshold tion transmitted trial unity variance voltage waveform space waveform u(t Yes Yes Yes zero