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Similarly, for shift-invariance, if x ( n - no) is input to S , , the response will be w ( n - no). In addition, because S2 is shift-invariant, the response to w ( n - n o ) will be y(n - n o ) . Therefore, the response of the cascade to x(n - no) is y ( n - no), and the cascade is shift-invariant. To establish stability, note that with SI being stable, if x ( n ) is bounded, the output w ( n ) will be bounded. With w ( n ) a bounded input to the stable system S2, the response y ( n ) will also be bounded. Therefore, the cascade is stable. Finally, causality of the cascade follows by noting that if S2 is causal, y ( n ) at time n = no depends only on w ( n ) for n 5 no. With S I being causal, w ( n ) for n 5 no will depend only on the input x ( n ) for n 5 no, and it follows that the cascade is causal.

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Note!

( b ) If SI and S2 are nonlinear, it is not necessarily true that the cascade will be nonlinear because the second system may undo the nonlinearity of the first. For example, with

although both SI and Sz are nonlinear, the cascade is the identity system and, therefore, is linear.

(c) As in ( b ) , if S I and S2 are shift-varying, it is not necessarily true that the cascade will be shift-varying. For example. if the first system is a modulator.

Samba is a veritable Swiss army knife when it comes to printing subsystem interfaces. Printing is one area where there are substantial differences between the various UNIX implementations: daemons, configuration files, and commands. Samba does an outstanding job of supporting most of the popular UNIX printing subsystems. Once Samba knows the operating system type, enabling Windows and LAN Manager printing to local UNIX printers is a breeze (o

and the second is a demodulator,

the cascade is shift-invariant, even though a modulator and a demodulator are shift-varying. Another example is when S l is an up-sampler

y(n) = w(2n)

In this case, the cascade is shift-invariant, and y ( n ) = x ( n ) . However, if the order of the systems is reversed, the cascade will no longer be shift-invariant. Also, if a linear shift-invariant system, such as a unit delay, is inserted between the up-sampler and the down-sampler, the cascade of the three systems will, in general, be shift-varying.

The first nonzero value of a finite-length sequence x(n) occurs at index n = -6 and has a valuex(-6) = 3, and the last nonzero value occurs at index n = 24 and has a value x(24) = -4. What is the index of the first nonzero value in the convolution y(n) = x(n) * x(n) and what is its value What about the last nonzero value

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Because we are convolving two finite-length sequences, the index of the first nonzero value in the convolution is equal to the sum of the indices of the first nonzero values of the two sequences that are being convolved. In this case, the index is n = - 12, and the value is y(-12) = x2(-6) = 9 Similarly, the index of the last nonzero value is at n = 48 and the value is

The convolution of two finite-length sequences will be finite in length. 1s it true that the convolution of a finite-length sequence with an infinite-length sequence will be infinite in length

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