ESE 471 Three Things About Thermal Noise
Автор: Neal Patwari
Загружено: 2021-02-24
Просмотров: 1153
Here we discuss three properties of the continuous time thermal noise random process: its distribution, its power spectral density, and its autocorrelation function. These properties will be important as we talk about what happens in our receiver when thermal noise is added in to the received signal. The properties derive from the physics of thermal noise, its power spectral density, and its measured distribution. To get to the autocorrelation (and autocovariance) of the thermal noise process, we need to know that it is the inverse Fourier transform of the power spectral density for a wide-sense stationary (WSS) random process. We define WSS to be clear on what this requirement means.
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