## 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 bits 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 J—CO 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 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 Rayleigh distribution real waveform receiver reception Red Red Red represented result sequence Shannon shown in fig signal signal/noise ratio simple sine spectrum statistical statistically independent stray parameter substituting sufficient solution Suppose theory threshold tion transformation transmitted trial unity variance voltage waveform space Yes Yes Yes zero