EC-601 · Digital Signal Processing/Unsolved PYQ Paper
EC-601 Digital Signal Processing - Dec 2024 Question Paper
Under each question, How to answer lists the points an answer should cover, outlined by CampusPrep from the syllabus. Check the details against your textbook.
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7 MarksaDefine stability and causality for discrete-time systems. How can the stability of a system be determined from its impulse response?
How to answer
- Define stability: bounded input produces bounded output, summable impulse response condition
- Define causality: output depends only on present and past inputs, h[n]=0 for n<0
- Stability test from impulse response: sum |h[n]| < infinity
- Example / interpretation for LTI systems
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7 MarksbConsider an LTI system with impulse response $h[n]=(0.5)^n u[n]$. Determine its frequency response $H(e^{j\omega})$.
How to answer
- Given h[n]=(0.5)^n u[n]
- DTFT formula H(e^{j\omega}) = sum h[n]e^{-j\omega n}
- Evaluate geometric series to get 1/(1-0.5e^{-j\omega})
- Magnitude/phase interpretation
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7 MarksaImplement the system described by the difference equation $y[n] = 0.5y[n-1] + 0.25y[n-2] + x[n]$ using Direct Form-I and Direct Form-II structures. Provide the block diagrams for both implementations.
How to answer
- Rewrite difference equation in z-domain / delay form
- Draw Direct Form-I with separate feedforward and feedback delays
- Draw Direct Form-II with shared delay line
- Label coefficients 0.5, 0.25 and adders, delays
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7 MarksbDiscuss the advantages of analyzing discrete-time LTI systems in the z-domain compared to the time-domain. Provide examples to support your discussion.
How to answer
- State time-domain analysis: convolution, difference equations
- Advantages of z-domain: algebraic convolution, pole-zero stability, frequency response
- Examples: transfer function H(z), stability from ROC
- Conclusion with comparison
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7 MarksaDetermine the Z-transform of the following signal.
- i)$X(n) = -\alpha^n u(-n-1)$
- ii)$X(n) = \alpha^n u(n) + b^n u(-n-1)$
- iii)$X(n) = (1/2)^n u(n)$
How to answer
- Apply standard Z-transform pairs for left/right sided exponentials
- Determine expression and ROC for each case i, ii, iii
- Handle linear combination a^n u(n)+b^n u(-n-1)
- Specialize for (1/2)^n u(n)
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7 MarksbRepresent the system described by the following state-space equation using a signal flow graph $$\begin{cases} x[n+1]=\begin{bmatrix}0.5 & 1 \\ 0 & 0.5\end{bmatrix}x[n]+\begin{bmatrix}1 \\ 0\end{bmatrix}u[n] \\ y[n]=\begin{bmatrix}1 & 1\end{bmatrix}x[n] \end{cases}$$
How to answer
- Write state equations for x1[n+1], x2[n+1] and output y[n]
- Identify gains 0.5, 1 and input branches
- Draw nodes, forward paths and feedback loops as signal flow graph
- Label input u[n] and output y[n]
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7 MarksaState and prove any four properties of DFT.
How to answer
- State four DFT properties e.g. linearity, circular shift, duality, symmetry
- Give mathematical statement for each
- Provide proof using DFT definition
- Mention conditions / N-point
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7 MarksbDetermine the circular convolution for the two sequences $x_1(n) = \{1, 2, 3, 4\}, x_2(n) = \{1, 5, 1, 3\}$ using concentric circles method.
How to answer
- Arrange sequences x1(n)={1,2,3,4}, x2(n)={1,5,1,3} on concentric circles
- Perform circular shifts and multiply-add for each n
- Obtain 4-point circular convolution values
- Verify with matrix / DFT method
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7 MarksaCompute the DFS coefficients for the periodic signal $x[n] = \{1, 2, 3, 4\}$ with period 4.
How to answer
- Use DFS analysis formula c_k = (1/N) sum x[n]W^{-kn}
- Substitute x[n]={1,2,3,4}, N=4
- Compute coefficients for k=0,1,2,3
- Simplify using twiddle factors
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7 MarksbWhat is the Fast Fourier Transform (FFT)? How does it improve the efficiency of computing the DFT? Discuss with suitable example.
How to answer
- Define FFT as fast algorithm for DFT
- Explain decimation and complexity O(N log N) vs O(N^2)
- Give example e.g. 8-point comparison
- Discuss butterfly computation
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7 MarksaCompute the 8-point DFT of the sequence $x[n] = \{1, -1, 1, -1, 0, 0, 0, 0\}$ using the DIF FFT algorithm. Show all intermediate steps and results.
How to answer
- Arrange input x[n]={1,-1,1,-1,0,0,0,0} for 8-point DIF
- Draw 3-stage butterfly with bit-reversed output
- Compute intermediate stage results
- Obtain final DFT values
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7 MarksbGiven the sequence $x[n] = \{1, 2, 3, 4, 5, 6, 7, 8\}$, perform a single stage of the DIT FFT algorithm. Illustrate the decomposition and computation process.
How to answer
- Split x[n]={1,2,3,4,5,6,7,8} into even and odd subsequences
- Show first-stage butterfly with twiddle factors W8
- Compute one stage outputs
- Explain further decomposition principle
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7 MarksaDiscuss the advantages and disadvantages of IIR filters compared to FIR filters in digital signal processing.
How to answer
- Compare efficiency, phase linearity, stability, order required
- Advantages of IIR: lower order, sharp cutoff
- Disadvantages: nonlinear phase, feedback stability issues
- Summary table FIR vs IIR
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7 MarksbDesign a high-pass IIR filter with a cutoff frequency of $0.5\pi$ radians using the bilinear transformation method. Assume the analog prototype is a Butterworth filter of order 2 with a cutoff frequency of 1 radian/second.
How to answer
- Prewarp cutoff 0.5c0 and apply bilinear transformation
- Transform order-2 Butterworth lowpass prototype to highpass
- Obtain analog prototype with cutoff 1 rad/sec
- Derive digital transfer function H(z)
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14 MarksWrite a short note on any two.
- a)Frequency domain representation of discrete time signals
- b)Properties of Z-transform
- c)Design of FIR digital Filter
- d)Rational Z-Transform
How to answer
- Select any two topics from a-d
- Give definition, key formulas/properties and diagram
- Add example or design steps as applicable
- Conclude with applications
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