By Yuriy Shmaliy
This e-book deals a longer description of continuous-time indications with regards to signs and platforms. As a time-varying technique of any actual kingdom of any item, which serves for illustration, detection, and transmission of messages, a latest electric sign possesses, in functions, many particular houses. The textual content covers precept foundations of indications concept. providing bandlimited and analytic indications, the booklet experiences the tools in their description, transformation (by Hilbert transform), and sampling.
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Additional resources for Continuous-Time Signals (Signals and Communication Technology)
41) αt This signal has a real part e cos ω0 t and imaginary part e sin ω0 t, which are exponentially decreasing (if α < 0) or increasing (if α > 0) harmonic functions (Fig. 15). 9. An oscillatory system is combined with the inductance L, capacitor C, and resistor R included in parallel. The system is described with the second-order ordinarily diﬀerential equation (ODE) 1 1 d d2 v(t) + v(t) = 0, v(t) + dt2 R dt L where v(t) is a system voltage. 41) taking the form of t v(t) = V0 e− 2τ0 cos ω0 t , C where V0 is a peak value, τ0 = RC is a system time constant, and ω0 = − 4C 12 R2 is the fundamental angular frequency.
The space N is a set of harmonic signals of the type x(t) = An cos(ωn t + ϕn ) with diﬀerent amplitudes An , frequencies ωn , and phases ϕn . 16. The space V is a set of binary vectors such as v1 = [1, 0, 1], v2 = [0, 1, 1], and v3 = [1, 1, 0]. Space presentation of signals becomes fruitful when some of its components are expressible through the other ones. In such a case, they say that a set of signals has a certain structure. Of course, selection of signal structures must be motivated by physical reasons and imaginations.
For example, in wireless systems, it is of high importance to know spectral contents of signals to avoid losing information while transmitting through bandlimited channels. We thus need to go to the frequency domain. But before, it seems in order to consider a simple example illustrating how a signal waveform inﬂuences its spectral width. 2 cos 3ω0 t. It is seen (Fig. 1) that a sum of these signals y(t) = x1 (t) + x2 (t) may be treated either as a nearly harmonic wave or as a roughly smoothed rectangular pulse-train.