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Digital Signal Processing[ECEG-3171]-Ch1_L07
This document is a lecture on discrete-time convolutions. It discusses various methods for processing discrete-time samples, including block processing and sample processing. Block processing deals with finite blocks of data and applications like FIR filtering and DFT computations. Sample processing is used in real-time applications like filtering and control systems. The document presents different equivalent forms of the convolution operation, including direct form, LTI form, matrix form, and overlap-add. It provides examples of computing convolution using these different forms. The document concludes with exercises involving computing convolutions using different methods.
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Digital Signal Processing[ECEG-3171]-Ch1_L07
This document is a lecture on discrete-time convolutions. It discusses various methods for processing discrete-time samples, including block processing and sample processing. Block processing deals with finite blocks of data and applications like FIR filtering and DFT computations. Sample processing is used in real-time applications like filtering and control systems. The document presents different equivalent forms of the convolution operation, including direct form, LTI form, matrix form, and overlap-add. It provides examples of computing convolution using these different forms. The document concludes with exercises involving computing convolutions using different methods.
Digital Signal Processing[ECEG-3171]-Ch1_L06
This document summarizes key concepts about analog reconstruction and changing sampling rates from a lecture on sampling and reconstruction:
1) Analog reconstruction involves converting samples to impulse trains, then filtering with an ideal low-pass reconstruction filter to perfectly reconstruct the original signal. A staircase reconstructor is commonly used instead as it is realizable but does not eliminate replicas completely.
2) Downsampling reduces the sampling rate by an integer M by keeping every Mth sample. Upsampling increases the rate by inserting zeros between samples. Both can be done without aliasing by first low-pass filtering at the Nyquist rate of the new sampling frequency.
3) Changing the sampling rate by a rational factor can be achieved by cascading
Digital Signal Processing[ECEG-3171]-Ch1_L05
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
#Africa#Ethiopia
Digital Signal Processing[ECEG-3171]-Ch1_L04
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
#Africa#Ethiopia
Digital Signal Processing[ECEG-3171]-Ch1_L03
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
#Africa#Ethiopia
Digital Signal Processing[ECEG-3171]-Ch1_L02
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced
#Africa#Ethiopia
Digital Signal Processing[ECEG-3171]-Ch1_L01
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold.
#Africa#Ethiopia
Digital Signal Processing[ECEG-3171]-L00
This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be solded.
#Africa#Ethiopia
New techniques for characterising damage in rock slopes.pdf
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Digital Signal Processing[ECEG-3171]-Ch1_L06
This document summarizes key concepts about analog reconstruction and changing sampling rates from a lecture on sampling and reconstruction:
1) Analog reconstruction involves converting samples to impulse trains, then filtering with an ideal low-pass reconstruction filter to perfectly reconstruct the original signal. A staircase reconstructor is commonly used instead as it is realizable but does not eliminate replicas completely.
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This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
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This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
#Africa#Ethiopia
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This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced.
#Africa#Ethiopia
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This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold or reproduced
#Africa#Ethiopia
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This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be sold.
#Africa#Ethiopia
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This Digital Signal Processing Lecture material is the property of the author (Rediet M.) . It is not for publication,nor is it to be solded.
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