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Questions and Answers
What is the primary characteristic of the output function y[n] in the discrete-time system S?
What is the primary characteristic of the output function y[n] in the discrete-time system S?
Is the given discrete-time system S stable?
Is the given discrete-time system S stable?
Which property indicates that the output of system S solely depends on the present input and not on past inputs?
Which property indicates that the output of system S solely depends on the present input and not on past inputs?
What is necessary for the system S to be considered linear?
What is necessary for the system S to be considered linear?
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Which condition must the sampling interval T1 meet to avoid aliasing when converting continuous-to-discrete time?
Which condition must the sampling interval T1 meet to avoid aliasing when converting continuous-to-discrete time?
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To sketch the Fourier transform X(ejω) of x[n] with a sampling interval T1 = 2ms, which element is crucial?
To sketch the Fourier transform X(ejω) of x[n] with a sampling interval T1 = 2ms, which element is crucial?
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What is the condition for the system to be considered time-invariant?
What is the condition for the system to be considered time-invariant?
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How can the Fourier transforms of y[n] and x[n] be related in this system?
How can the Fourier transforms of y[n] and x[n] be related in this system?
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What is the nature of the system given by the difference equation y[n] = x[n] − x[n − 1] + y[n − 1] − y[n − 2]?
What is the nature of the system given by the difference equation y[n] = x[n] − x[n − 1] + y[n − 1] − y[n − 2]?
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Which condition must the system satisfy to have a stable inverse?
Which condition must the system satisfy to have a stable inverse?
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In the context of the given causal system, what would be the result of applying the N-point inverse DFT?
In the context of the given causal system, what would be the result of applying the N-point inverse DFT?
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What is the minimal N needed to ensure no aliasing occurs when obtaining x̃[n] from x1[n] and x2[n]?
What is the minimal N needed to ensure no aliasing occurs when obtaining x̃[n] from x1[n] and x2[n]?
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Which of the following statements is true regarding the linear convolution of two sequences?
Which of the following statements is true regarding the linear convolution of two sequences?
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Given the system's difference equation, what type of stability assessment should be conducted?
Given the system's difference equation, what type of stability assessment should be conducted?
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What would be an appropriate method for finding the causal inverse of the system defined by the difference equation?
What would be an appropriate method for finding the causal inverse of the system defined by the difference equation?
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How can you determine if the system has a unique inverse?
How can you determine if the system has a unique inverse?
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What condition must be met for x̃[n] to equal x[n] in the context of linear convolution?
What condition must be met for x̃[n] to equal x[n] in the context of linear convolution?
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What is the minimum size of the DFT necessary for linear convolution without aliasing?
What is the minimum size of the DFT necessary for linear convolution without aliasing?
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For which values of n will the equality x̃[n] = x[n] hold true?
For which values of n will the equality x̃[n] = x[n] hold true?
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What denotes the Fourier Transform pair for the unit impulse function δ[n]?
What denotes the Fourier Transform pair for the unit impulse function δ[n]?
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What is the z-transform representation for the sequence a^n u[n] where |a| < 1?
What is the z-transform representation for the sequence a^n u[n] where |a| < 1?
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What effect does a larger DFT size have on the sampling of linear convolution?
What effect does a larger DFT size have on the sampling of linear convolution?
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Which condition is necessary for the z-transform of the sequence -a^n u[-n - 1]?
Which condition is necessary for the z-transform of the sequence -a^n u[-n - 1]?
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What is the Fourier Transform representation of cos(ω0 n + φ)?
What is the Fourier Transform representation of cos(ω0 n + φ)?
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Study Notes
Examination Information
- Examination is part of a degree program
- Governed by College Regulations and academic board
- MSC Examination for Fundamentals of Digital Signal Processing
- January 2022
- Time allowed: Two hours
- Answer all questions
- Answer each question in a separate answer book
- Write question number on the cover
- Fourier and Z-transform pairs provided on pages 5 and 6 of the paper
Questions One to Five
- Discrete-time system S, input x[n], output y[n]
- y[n] = S{x[n]} = ejω0nx[n] + a
- ω0 and a are real constants
- 0 < |a| < ∞, 0 < |ω0| < π
- Stability, causality, linearity, time invariance of the system
- Fourier transforms of y[n] and x[n] related as Y(ejω) = S(ejω)X(ejω)
Questions Six to Eight
- Discrete-time processing of continuous-time signals
- Input signal x(t) with spectrum X(jΩ)
- Band-limited to ΩN = 1000π rad/s
- Sampling interval T1 to avoid aliasing
- Sketch X(ejω) for T1 = 2ms
- Find yc(t) given H(ejω) and T2 = T1
Question Nine to Eleven
- Causal linear time-invariant system
- Difference equation: y[n] = x[n] - x[n-1] + 0.5y[n-1] - 0.25y[n-2]
- Input x[n], output y[n] Assess stability of the inverse system, find a causal inverse, determine if the system has a unique inverse
Question Twelve to Fourteen
- Sequences x1[n] and x2[n]
- x1[n] = 2δ[n-2] + 3δ[n-3] + δ[n-4]
- x2[n] = 2δ[n] + δ[n-1] + δ[n-2]
- Inverse DFT of X[k] = X1[k]X2[k]
- Identify N for linear convolution between x1[n] and x2[n] without aliasing
- Minimal size N and range of n for x[n] and x[n] Numerical values of x[n], n=0, 1, ..., N-1
Fourier Transform Pairs
- Provided on page 6 of the document, various pairs listed
- Includes δ[n], u[n], cos(ω0n), and sin(ω0n), others
Z-transform Pairs
- Provided on page 7 of the document, various pairs listed
- Includes δ[n], u[n], cos(ω0n), sin(ω0n), and others
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Description
Test your knowledge on the fundamentals of digital signal processing with this MSC examination from January 2022. The quiz covers discrete-time systems, stability, causality, Fourier transforms, and more. Make sure to review the provided Fourier and Z-transform pairs for a comprehensive understanding.