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DSP Lab 1 M

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0% found this document useful (0 votes)
41 views4 pages

DSP Lab 1 M

Uploaded by

Muthu Vadivu S
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as DOCX, PDF, TXT or read online on Scribd
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JAYARAJ ANNAPACKIAM C.S.I.

COLLEGE OF
ENGINEERING
(Approved by AICTE and Affiliated to Anna University, Chennai)
MARGOSCHIS NAGAR, NAZARETH-628 617.

DEPARTMENT OF ELECTRONICS AND

COMMUNICATION ENGINEERING

2023-2024

EVEN SEMESTER

REGULATION 2021

EC3492
EC3492 DIGITAL
DIGITAL SIGNAL
SIGNAL PROCESSING
PROCESSING
LAB MANUAL
VISION

Impart the technology of electronics and communication along with ethical values transforming the
learners into global achievers

MISSION
 Offer high quality education with hope, confidence and moral values.
 Equip the students with hands-on training on new tools.
 Motivate students for self learning
 Outfit the students to be compatible with recent trends in Electronic industries.
 Organize students for professional careers and advanced studies

PROGRAMME EDUCATIONAL OBJECTIVES:


PEO1: To enable graduates to pursue research, or have a successful career in academia or industries
associated with Electronics and Communication Engineering, or as entrepreneurs.

PEO2: To provide students with strong foundational concepts and also advanced techniques and tools in
order to enable them to build solutions or systems of varying complexity.

PEO3: To prepare students to critically analyze existing literature in an area of specialization and ethically
develop innovative and research oriented methodologies to solve the problems identified.

PROGRAMME OUTCOMES:

Engineering Graduates will be able to:

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and
an engineering specialization to the solution of complex engineering problems.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering
problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and
engineering sciences.

Design/development of solutions: Design solutions for complex engineering problems and design system
components or processes that meet the specified needs with appropriate consideration for the public health
and safety, and the cultural, societal, and environmental considerations.

Conduct investigations of complex problems: Use research-based knowledge and research methods
including design of experiments, analysis and interpretation of data, and synthesis of the information to
provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering
and IT tools including prediction and modeling to complex engineering activities with an understanding of
the limitations.

The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal,
health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional
engineering practice.

Environment and sustainability: Understand the impact of the professional engineering solutions in
societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable
development.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the
engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse
teams, and in multidisciplinary settings.

Communication: Communicate effectively on complex engineering activities with the engineering


community and with society at large, such as, being able to comprehend and write effective reports and
design documentation, make effective presentations, and give and receive clear instructions.

Project management and finance: Demonstrate knowledge and understanding of the engineering and
management principles and apply these to one‘s own work, as a member and leader in a team, to manage
projects and in multidisciplinary environments.

Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent
and life-long learning in the broadest context of technological change.

PROGRAM SPECIFIC OBJECTIVES (PSOs)

 To analyze, design and develop solutions by applying foundational concepts of electronics and
communication engineering.
 To apply design principles and best practices for developing quality products for scientific and
business applications.
 To adapt to emerging information and communication technologies (ICT) to innovate ideas and
solutions to existing/novel problems.
ANNA UNIVERSITY, CHENNAI
Regulations 2021

EC3492 DIGITAL SIGNAL PROCESSING LTPC


3 0 24
COURSE OBJECTIVES:
● To learn discrete Fourier transform, properties of DFT and its application to linear filtering
● To understand the characteristics of digital filters, design digital IIR and FIR filters and
apply these filters to filter undesirable signals in various frequency bands
● To understand the effects of finite precision representation on digital filters
● To understand the fundamental concepts of multi rate signal processing and its applications
●To introduce the concepts of adaptive filters and its application to communication engineering.

LIST OF EXPERIMENTS:
1. Generation of elementary Discrete-Time sequences
2. Linear and Circular convolutions
3. Auto correlation and Cross Correlation
4. Frequency Analysis using DFT
5. Design of FIR filters (LPF/HPF/BPF/BSF) and demonstrates the filtering operation
6. Design of Butterworth and Chebyshev IIR filters (LPF/HPF/BPF/BSF) and demonstrate the filtering operations
7. Study of architecture of Digital Signal Processor
8. Perform MAC operation using various addressing modes
9. Generation of various signals and random noise
10. Design and demonstration of FIR Filter for Low pass, High pass, Band pass and Band stop filtering
11. Design and demonstration of Butter worth and Chebyshev IIR Filters for Low pass, High pass, Band pass and
Band stop filtering
12. Implement an Up-sampling and Down-sampling operation in DSP Processor

COURSE OUTCOMES:
At the end of the course students will be able to:
CO1:Apply DFT for the analysis of digital signals and systems
CO2:Design IIR and FIR filters
CO3: Characterize the effects of finite precision representation on digital filters
CO4:Design multirate filters
CO5:Apply adaptive filters appropriately in communication systems

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