Mathematik fuer Ingenieure und Naturwissenschaftler 3: by Lothar Papula PDF

By Lothar Papula

ISBN-10: 3834802255

ISBN-13: 9783834802255

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Extra info for Mathematik fuer Ingenieure und Naturwissenschaftler 3: Vektoranalysis, Wahrscheinlichkeitsrechnung (2008)

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Specifically, x[n] can be decomposed as the sum of the three sequences x[−2]δ[n + 2], x[0]δ[n], and x[3]δ[n − 3] representing the three nonzero values in the sequence x[n]. The sequences x[−2]h[n + 2], x[0]h[n], and x[3]h[n − 3] are the system responses to x[−2]δ[n + 2], x[0]δ[n], and x[3]δ[n − 3], respectively. The response to x[n] is then the sum of these three individual responses. Although the convolution-sum expression is analogous to the convolution integral of continuous-time linear system theory, the convolution sum should not be thought of as an approximation to the convolution integral.

Discrete-time signals are defined at discrete times, and thus, the independent variable has discrete values; that is, discrete-time signals are represented as sequences of numbers. Signals such as speech or images may have either a continuous- or a discrete-variable representation, and if certain conditions hold, these representations are entirely equivalent. Besides the independent variables being either continuous or discrete, the signal amplitude may be either continuous or discrete. Digital signals are those for which both time and amplitude are discrete.

One of the important aspects of the impulse sequence is that an arbitrary sequence can be represented as a sum of scaled, delayed impulses. 4 can be expressed as p[n] = a−3 δ[n + 3] + a1 δ[n − 1] + a2 δ[n − 2] + a7 δ[n − 7]. 4) More generally, any sequence can be expressed as ∞ x[k]δ[n − k]. 5) k=−∞ We will make specific use of Eq. 5) in discussing the representation of discrete-time linear systems. 3b) is defined as 1, n ≥ 0, 0, n < 0. 7) k=−∞ that is, the value of the unit step sequence at (time) index n is equal to the accumulated sum of the value at index n and all previous values of the impulse sequence.

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Mathematik fuer Ingenieure und Naturwissenschaftler 3: Vektoranalysis, Wahrscheinlichkeitsrechnung (2008) by Lothar Papula


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