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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
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The growing significance of portable systems to limit power consumption in ultra-large-scale-integration chips of very high density, has recently led to rapid and inventive progresses in low-power design. The most effective technique is adiabatic logic circuit design in energy-efficient hardware. This paper presents two adiabatic approaches for the design of low power circuits, modified positive feedback adiabatic logic (modified PFAL) and the other is direct current diode based positive feedback adiabatic logic (DC-DB PFAL). Logic gates are the preliminary components in any digital circuit design. By improving the performance of basic gates, one can improvise the whole system performance. In this paper proposed circuit design of the low power architecture of OR/NOR, AND/NAND, and XOR/XNOR gates are presented using the said approaches and their results are analyzed for powerdissipation, delay, power-delay-product and rise time and compared with the other adiabatic techniques along with the conventional complementary metal oxide semiconductor (CMOS) designs reported in the literature. It has been found that the designs with DC-DB PFAL technique outperform with the percentage improvement of 65% for NOR gate and 7% for NAND gate and 34% for XNOR gate over the modified PFAL techniques at 10 MHz respectively.
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The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
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politics, and conventional and nontraditional security are all explored and explained by the researcher.
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in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
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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.
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.
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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.
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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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