Random signals, also known as uncertain signals, refer to signals that cannot be expressed by a definite time function. Generally, the frequency domain of this type of signal is continuous, while the function signal is discontinuous. Engineering Applications of Random Signal Analysis discusses the basic theory of random signal analysis and its engineering applications from a practical perspective. The main contents include: basic concepts and mathematical description methods of random physical phenomena and random signals, as well as basic theories of random signal analysis and engineering applications of random signal related analysis and spectral analysis.
Total of 43 lessons14 hours and 19 minutes and 44 seconds
This course is a basic course for electronic information undergraduate majors that organically integrates random signal analysis, signal detection and estimation. Emphasizing the intuitive understanding of concepts, carefully designing some easy-to-understand examples to illustrate concepts; emphasizing the cultivation of practical abilities, introducing statistical analysis methods based on MA TLAB, including probability distributions, estimation of numerical features, etc., and giving a large number of MATLAB The implementation program also adds an introduction to the basic theory of Monte Carlo simulation in the textbook, and how to use the Monte Carlo method to simulate and analyze the performance of the system.
Total of 34 lessons1 days and 1 hours and 44 minutes and 51 seconds
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