Titlebook: Elements of Detection and Signal Design; Charles L. Weber Textbook 1987Latest edition Springer-Verlag New York Inc. 1987 Modulation.Phase.

antithetic

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BARGE

空氣

https://doi.org/10.1007/978-3-030-92084-5nd yet sufficiently specific to enable us to apply the concepts of statistical-decision theory as well. We shall examine the general reception problem as a statistical-decision problem and hence shall assume certain statistics of the messages and channel disturbances depending on the criterion for s

CROW

https://doi.org/10.1057/9781137577917e resulting minimum average risk. We shall see that the optimal decision function is the ., regardless of the cost function and regardless of the a priori probabilities, and that these parameters affect only a threshold level.

hypnotic

Participating in service delivery high degree of confidence. In situations where this cannot be done the . criterion is often an acceptable alternative for determining the best receiver operation. The minimax decision function corresponds to the Bayes decision function for the a priori probabilities which makes the Bayes risk a max

convulsion

convulsion

高腳酒杯

集中營(yíng)

https://doi.org/10.1007/978-3-031-09819-2m except for parameters such as phase, amplitude, and/or doppler rf carrier shift. However, in communication systems which, for example, employ the reflecting characteristics of the ionospheric layers of the earth’s atmosphere, the transmitted signals become distorted to such an extent that their re

陳腐的人

Die pflanzlichen Nahrungs- und Genussmittel,nal space either consisted of two elements or was partitioned into two disjoint subspaces. Let us now develop the more general situation in which the signal set consists of . possible signals or . classes of signals with a priori probabilities π;. = 1, …, .. Such a model arises in certain communicat