linear shift-invariant systems. linear if x(t) and y(t) are two input signals to a system, the...
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![Page 1: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/1.jpg)
Linear Shift-Invariant Systems
![Page 2: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/2.jpg)
Linear
• If x(t) and y(t) are two input signals to a system, the system is linear if
• H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]
• Where H specifies the transformation performed on the signal by the system
![Page 3: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/3.jpg)
Shift Invariant
• If xO(t) = H[x(t)] then H[x(t-τ)] = xO(t - τ)
![Page 4: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/4.jpg)
Properties of an LSI
• If the input is x(t) = A Cos(2πf0t + θ)
• The response to x(t) is H[x(t)] =
• A H[Cos(2πf0t + θ)] = Aout Cos(2πf0t + θout)]
![Page 5: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/5.jpg)
Transfer function of an LSI
• Consider the response of an LSI to a complex sinusoid
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![Page 6: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/6.jpg)
If input is periodic then
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![Page 7: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/7.jpg)
• The Fourier Transform of the impulse response function is the transfer function of the linear system.
• The Inverse Fourier Transform of the transfer function is the impulse response function of the linear system.
• This is a very powerful result.• The easiest way to design a filter is to
select an impulse response function
![Page 8: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/8.jpg)
Designing a filter
• A bandpass filter can be designed by taking an impulse response function that starts at t=0, reaches a single peak and declines to zero with time.
• The longer the impulse response, the narrower the filter.
• To set the center frequency,fc, of the filter, multiply it by Cos(2 π fc t).
![Page 9: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/9.jpg)
Predicting the filter’s output
![Page 10: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/10.jpg)
Figure 5.4. An arbitrary waveform. Thehorizontal line at t0 represents the input of awaveform of this sort to a LSI system, up to andincluding time t0.
Figure 5.4. An arbitrary waveform. Thehorizontal line at t0 represents the input of awaveform of this sort to a LSI system, up to andincluding time t0.
![Page 11: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/11.jpg)
Figure 5.5. A digitized version of the waveformshown in Figure 5.5 is depicted up to andincluding the digitized waveform as it exists attime t0. The waveform has been digitized at arate of 20 kHz.
Figure 5.5. A digitized version of the waveformshown in Figure 5.5 is depicted up to andincluding the digitized waveform as it exists attime t0. The waveform has been digitized at arate of 20 kHz.
![Page 12: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/12.jpg)
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![Page 13: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/13.jpg)
![Page 14: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/14.jpg)
![Page 15: Linear Shift-Invariant Systems. Linear If x(t) and y(t) are two input signals to a system, the system is linear if H[a*x(t) + b*y(t)] = aH[x(t)] + bH[y(t)]](https://reader035.vdocuments.net/reader035/viewer/2022080916/56649e5e5503460f94b581af/html5/thumbnails/15.jpg)
Transfer function with zero phase shift
• Consider a rectangular filter with no phase shift
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