Titlebook: Random Signals Estimation and Identification; Analysis and Applica Nirode Mohanty Book 1986 Van Nostrand Reinhold Company Inc. 1986 acousti

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, sonar, communications, geophysics, remote sensing, acoustics, meteorology, med- ical imaging systems, and electronics warfare. The received signal is usually disturbed by thermal, electrical, atmospheric, channel, or intentional inter- ferences. The received signal cannot be predicted deterministi

陶醉

Random Signals,nd Poisson processes, are discussed in Sections 1.3 and 1.4. Mean-square calculus for random processes is presented in Section 1.5. Markov processes and renewal processes are discussed in Sections 1.6 and 1.7. The chapter concludes with bibliographical notes (Section 1.8).

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Book 1986ommunications, geophysics, remote sensing, acoustics, meteorology, med- ical imaging systems, and electronics warfare. The received signal is usually disturbed by thermal, electrical, atmospheric, channel, or intentional inter- ferences. The received signal cannot be predicted deterministically, so

adduction

Spectral Analysis,ecorrelation time, frequency, and distances. In biomedical engineering, the spike- and wavelike form of the PSD indicates the period of epileptic seizure. In speech processing, spectral analysis is used to locate the formants of utterances of particular sound. In electronic warfare, the PSD is used to classify the targets.

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Random Signals,of random samples to the sampling of a random process. The characterization of a random process is given in terms of its time-dependent distribution and density functions. The characterization and classification is described in Section 1. 1. Two important characteristics of a random process from the

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Estimation, Optimization, and Detection,ospheric, optical, or electronic noise. The received signals may differ from the original signals in terms of amplitude, phase, frequency, timing or any combination because of the propagation medium, interference from other sources, and additive noise. Extraction of signals from the noise constitute

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