000 | a | ||
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999 |
_c32440 _d32440 |
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008 | 230901b xxu||||| |||| 00| 0 eng d | ||
020 | _a9783031195792 | ||
082 |
_a621.38220151 _bGIB |
||
100 | _aGibson, Jerry D. | ||
245 | _aFourier transforms, filtering, probability and random processes : introduction to communication systems | ||
260 |
_bSpringer, _c2023 _aCham : |
||
300 |
_avii, 156 p. ; _bill., _c25 cm |
||
365 |
_b49.99 _cEUR _d94.90 |
||
490 | _aSynthesis lectures on communications | ||
504 | _aIncludes bibliographical references. | ||
520 | _aThis book provides backgrounds and the mathematical methods necessary to understand the basic transforms in signal processing and linear systems to prepare for in depth study of analog and digital communications systems. This tutorial presentation provides developments of Fourier series and other orthogonal series, including trigonometric and complex exponential Fourier series, least squares approximations and generalized Fourier series, and the spectral content of periodic signals. This text thoroughly covers Fourier transform pairs for continuous time signals, Fourier transform properties, and the magnitude and phase of Fourier transforms. The author includes discussions of techniques for the analysis of continuous time linear systems in the time and frequency domains with particular emphasis on the system transfer function, impulse response, system/filter bandwidth, power and energy calculations, and the time domain sampling theorem. | ||
650 | _aAmplitude spectrum | ||
650 | _aCharacteristic function | ||
650 | _aConvolution theorem | ||
650 | _aCumulative distribution function; | ||
650 | _aImpulsive response | ||
650 | _aLinear-time invariant system | ||
650 | _aOutput response | ||
650 | _aPower spectral density | ||
650 | _aProbability density function | ||
650 | _aRandom process | ||
650 | _aSampling theorem | ||
650 | _aStochastic process | ||
650 | _aTransfer function | ||
650 | _aWaveform | ||
942 |
_2ddc _cBK |