Stochastic Processes
Stochastic Processes
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DOI：
10.1002/9781118231296.ch8
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发表时间：
2018-11
期刊：
影响因子：
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通讯作者：
Dr. Gergely Záruba
中科院分区：
文献类型：
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作者：
Dr. Gergely Záruba
随机过程是数据流的概率模型，例如语音，音频和视频信号，股票市场价格以及数字传感器（例如医疗仪器，GPS接收器或地震仪）对物理现象的测量。对这些模型的数学基础的可靠理解对于理解科学和工程许多分支的现象和处理信息至关重要，包括物理，通信，信号处理，自动化和结构动态。
Stochastic processes are probabilistic models of data streams such as speech, audio and video signals, stock market prices, and measurements of physical phenomena by digital sensors such as medical instruments, GPS receivers, or seismographs. A solid understanding of the mathematical basis of these models is essential for understanding phenomena and processing information in many branches of science and engineering including physics, communications, signal processing, automation, and structural dynamics.