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Roll No. | Total No. of Questions : 8 | Total No. of Pages : 02 |
Time: 3 Hrs. | Max. Marks : 60 |
M.Tech. (?) (2018 Batch) (Sem.-2)
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ADVANCED DIGITAL SIGNAL PROCESSING
Subject Code : MTEE-203B-18
M.Code: 76103
INSTRUCTIONS TO CANDIDATES :
- Attempt any FIVE questions out of EIGHT questions.
- Each question carries TWELVE marks.
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- Determine the correct classification of the system with proper justification
- y(n) = 2x(n) + 3 in terms of linear or nonlinear,
- y(n) = x(n+1)+ x(n) in terms of causal or not causal, x(n-1)
- y(n) = 3nx(n) in terms of time invariant, time variant,
- h(n) = 4nu(-n) in terms of stable or not stable.
- x(n) = (n+0.5)(3) u(n).
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- State the property of differentiation in Z-domain. Also find Z-transform of the sequence
- Input x (n) = {1, 2, 3, 1} and Impulse response h(n) = {1, 1, 1} of a LTI system. Determine the response of the system by calculating linear convolution using circular convolution.
- Design a discrete time Butterworth filter for the following specifications using an impulse invariant method
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0.8 = | H (ej?) | = 1 for 0 = ? = 0.2p
| H (ej?) | =0.2 for 0.6p = ? = p. The sampling frequency is 1Hz. - Design a low pass FIR filter with a cutoff frequency of 0.25 kHz and a sampling frequency of 1 kHz using Hanning window. Assume a filter length N = 11. Find its windowed causal impulse response sequence and transfer function H(z) of the causal filter.
- What are overflow oscillations and zero input limit cycle oscillations in IIR filters? Explain each using a suitable example.
- Describe all poles and all zeros model. Also provide the estimation of power spectrum of stationary random signals.
- Write short notes on :
- Optimum signal estimation
- Mean square error estimation.
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NOTE : Disclosure of Identity by writing Mobile No. or Making of passing request on any page of Answer Sheet will lead to UMC against the Student.
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