Exam Details
Subject | advanced digital signal processing | |
Paper | ||
Exam / Course | b.tech | |
Department | ||
Organization | Vardhaman College Of Engineering | |
Position | ||
Exam Date | June, 2017 | |
City, State | telangana, hyderabad |
Question Paper
Hall Ticket No: Question Paper Code B3406
(AUTONOMOUS) M.Tech II Semester End Semester Regular/Supplementary Examinations, June 2017
(Regulations: VCE-R15) ADVANCED DIGITAL SIGNAL PROCESSING
(Digital Electronics and Communication Systems) Date: 05 June, 2017 FN Time: 3 hours Max Marks: 70
Answer any Five Questions.
All Questions carries equal marks.
1. Illustrate the design procedure for designing the IIR filters using Chebyshev and
Butterworth approximations.
7M
Determine the unit sample response of a linear phase FIR filter of length M=4 for
which the frequency response at and is specified as
7M
2. What is decimation? Derive the frequency domain transfer function of a decimator. 7M
Explain the poly phase filter structures for the implementation of sampling rate
conversion.
7M
3. Illustrate the following applications of multi rate signal processing:
i. Design of phase shifters
ii. Interfacing of digital systems with different sampling rates
8M
What are quadrature mirror filters? Illustrate the two channels QMF bank and their
relevant expressions with a neat figure.
6M
4. Illustrate how the Levinson Durbin algorithm is used for solving the normal equations
for predicting the coefficients.
7M
Illustrate the following properties of Linear prediction-error filters:
i. Orthogonality of background prediction errors
ii. Minimum phase property of the forward prediction error filter
7M
5. Illustrate the estimation of autocorrelation and power spectrum of random signals. 7M
Examine the Blackman and Tukey method for smoothing the periodogram.
7M
6. Explain the Burg method for the AR model parameters. 7M
Illustrate the ARMA model for power spectrum estimation.
7M
7. Illustrate the principle of orthogonality with examples. 7M
Explain the Weiner Hopf equations with respect to Weiner filter.
7M
8. Interpret the Kalman filtering problem statement. Discuss the estimation of the state in
Kalman filter using the innovation process and show the relevant mathematical steps.
14M
(AUTONOMOUS) M.Tech II Semester End Semester Regular/Supplementary Examinations, June 2017
(Regulations: VCE-R15) ADVANCED DIGITAL SIGNAL PROCESSING
(Digital Electronics and Communication Systems) Date: 05 June, 2017 FN Time: 3 hours Max Marks: 70
Answer any Five Questions.
All Questions carries equal marks.
1. Illustrate the design procedure for designing the IIR filters using Chebyshev and
Butterworth approximations.
7M
Determine the unit sample response of a linear phase FIR filter of length M=4 for
which the frequency response at and is specified as
7M
2. What is decimation? Derive the frequency domain transfer function of a decimator. 7M
Explain the poly phase filter structures for the implementation of sampling rate
conversion.
7M
3. Illustrate the following applications of multi rate signal processing:
i. Design of phase shifters
ii. Interfacing of digital systems with different sampling rates
8M
What are quadrature mirror filters? Illustrate the two channels QMF bank and their
relevant expressions with a neat figure.
6M
4. Illustrate how the Levinson Durbin algorithm is used for solving the normal equations
for predicting the coefficients.
7M
Illustrate the following properties of Linear prediction-error filters:
i. Orthogonality of background prediction errors
ii. Minimum phase property of the forward prediction error filter
7M
5. Illustrate the estimation of autocorrelation and power spectrum of random signals. 7M
Examine the Blackman and Tukey method for smoothing the periodogram.
7M
6. Explain the Burg method for the AR model parameters. 7M
Illustrate the ARMA model for power spectrum estimation.
7M
7. Illustrate the principle of orthogonality with examples. 7M
Explain the Weiner Hopf equations with respect to Weiner filter.
7M
8. Interpret the Kalman filtering problem statement. Discuss the estimation of the state in
Kalman filter using the innovation process and show the relevant mathematical steps.
14M
Other Question Papers
Subjects
- advanced computer networks
- advanced database management systems
- advanced digital signal processing
- advanced structural design
- air line management
- air pollution and control methodologies
- aircraft systems and instrumentation
- analog communications
- artificial intelligence
- automobile engineering
- basic electrical engineering
- basic mechanical engineering
- cad/cam
- cellular and mobile comunications
- cloud computing
- coding theory and techniques
- compiler design
- computational fluid dynamics
- computer architecture and parallel processing
- computer graphics
- computer graphics concepts
- computer networks
- computer organization and architecture
- computer programming
- computer vision and pattern recognition
- concrete technology
- control systems
- cyber security
- data mining and data warehousing
- database management systems
- design and drawing of hydraulic structures
- design for testability
- digital image processing
- distributed databases
- distributed operating systems
- electrical machines-ii
- electromagnetics and transmission lines
- electronic measurements and instrumentation
- embedded netwrok and protocols
- embedded software design
- embedded systems
- engineering drawing-i
- engineering mechanics-i
- engineering physics
- entrepreneurship
- environmental engineering-ii
- environmental science
- finite elements methods in civil engineering
- flexible ac transmission systems
- formal language and automata theory
- grid and cloud computing
- hardware software co-design
- heat transfer
- high voltage engineering
- hydraulic machines
- hydraulics and hydraulic machines
- image processing
- image processing and pattern recognition
- industrial management and psychology
- information retrieval systems
- instrumentation and control systems
- kinematics of machinery
- low power cmos vlsi design
- managerial economics and financial analysis
- microwave engineering
- mobile application development through j2me
- national service scheme
- network security and cryptography
- operating systems
- operations research
- pavement analysis and design
- planning and drawing
- power electronic control of ac drives
- power electronic converters-ii
- power semiconductor drives
- power system generation
- power system switchgear and protection
- principles of electrical engineering
- principles of programming languages
- probability theory and numerical methods
- production technology-i
- programmable logic controllers and applications
- project planning and management
- pulse and digital circuits
- reactive power compensation and management
- refrigeration and air conditioning
- rehabilitation and retrofitting structures
- reliability engineering
- renewable energy sources
- robotics and automation
- satellite and radar communications
- service oriented architecture
- signals and systems
- software architecture
- software engineering
- software project management
- software testing and quality assurance
- speech signal processing
- strength of materials-iibuilding
- structural analysis-i
- surveying-ii
- technical english
- thermal engineering-i
- utilization of electrical energy
- vlsi design
- web technologies
- wireless and mobile computing
- wireless communications and networks