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Titlebook: An Introduction to the Analysis & Processing of Signals; Paul A. Lynn Textbook 1982Latest edition Macmillan Publishers Limited 1982 electr

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21#
發(fā)表于 2025-3-25 04:40:57 | 只看該作者
Background 1852 and the development of the electric telegraph greatly enhanced the speed and the reliability with which messages could be conveyed, and led to the widespread use of signalling for purposes other than warfare and defence.
22#
發(fā)表于 2025-3-25 10:08:35 | 只看該作者
Periodic Signalsform is quasi-periodic and may usefully be treated as truly periodic for some purposes. It is worth noting that a truly repetitive signal is of very little interest in a communications channel, since no further information is conveyed after the first cycle of the waveform has been received. One of t
23#
發(fā)表于 2025-3-25 12:28:05 | 只看該作者
Aperiodic Signalsetitive in nature and which cannot therefore be represented by Fourier series containing a number of harmonically-related frequencies. Fortunately, however, it is possible to derive frequency spectra for such signals using as a starting point the work we have already done on the Fourier series.
24#
發(fā)表于 2025-3-25 19:48:02 | 只看該作者
25#
發(fā)表于 2025-3-25 21:00:42 | 只看該作者
26#
發(fā)表于 2025-3-26 00:40:44 | 只看該作者
27#
發(fā)表于 2025-3-26 08:17:38 | 只看該作者
28#
發(fā)表于 2025-3-26 09:26:27 | 只看該作者
29#
發(fā)表于 2025-3-26 15:19:21 | 只看該作者
Ernst Kofrányi,Friedrichkarl Jekatignal applied to its input. In other words, it is regarded as an ‘input-output’ device, whose detailed internal construction does not concern us. This is often referred to as the ‘black-box’ approach: it involves us in mathematical descriptions of the overall performance of the signal processor, but
30#
發(fā)表于 2025-3-26 18:49:23 | 只看該作者
https://doi.org/10.1007/978-3-642-91173-6on. But in spite of these advantages of linear processing, the reader is asked to bear in mind that a variety of useful signal techniques may be achieved by using nonlinear systems and devices, and that the analysis and synthesis of signals and systems by reference to Fourier and Laplace transform t
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