Title :
On the second derivative of a Gaussian process envelope
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
fDate :
5/1/2002 12:00:00 AM
Abstract :
We explore some dynamic characteristics of the envelope of a bandpass Gaussian process, which are of interest in wireless fading channels. Specifically, we show that unlike the first derivative, the second derivative of the envelope, which appears in a number of applications, does not exist in the traditional mean square sense. However, we prove that the envelope is twice differentiable almost everywhere (with probability one) if the power spectrum of the bandpass Gaussian process satisfies a certain condition. We also derive an integral form for the probability density function (PDF) of the second derivative of the envelope, assuming an arbitrary power spectrum
Keywords :
Gaussian processes; fading channels; integral equations; probability; spectral analysis; Gaussian process envelope; bandpass Gaussian process; dynamic characteristics; integral PDF; power spectrum; probability; probability density function; second derivative; second-order mean square differentiability; wireless fading channels; Fading; Frequency; Gaussian processes; Power engineering computing; Probability density function; Random processes; Rayleigh scattering; Terminology; Wireless sensor networks;
Journal_Title :
Information Theory, IEEE Transactions on