B.E. Electrical Engineering:DSP and its applications to Electrical Systems
Bachelor
In Patiala
Description
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Type
Bachelor
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Location
Patiala
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Duration
4 Years
Facilities
Location
Start date
Start date
Reviews
Course programme
First Year: Semester I
Mathematics I
Engineering graphics
Computer Programming
Physics
Solid Mechanics
Communication Skills
First Year: Semester-II
Mathematics II
Manufacturing Process
Chemistry
Electrical and Electronic Science
Thermodynamics
Organizational Behavior
Second Year- Semester - I
Semiconductor Devices
Measurement Science and Techniques
Digital Electronic Circuits
Circuit Theory
Electromechanical Energy conversion
Electromagnetic Fields
Human Values, Ethics and IPR
Second Year- Semester – II
Numerical and Statistical Methods
Fluid Mechanics
Power Generation and Economics
Analog Electronic Circuits
Electrical and Electronic Measurements
Transmission and Distribution of Power
Environmental Studies
Third Year- Semester – I
Power Electronics
Asynchronous Machines
Switch gear and Protection
Microprocessors
Optimization Techniques
Engineering Economics
Summer Training (6 Weeks after 2nd year during summer vacation)
Third Year- Semester – II
Total Quality Management
Control Systems
Synchronous Machines
Power System Analysis
Flexible AC Transmission Systems
Fourth Year- Semester – I
High Voltage Engineering
Operation and Control of Power Systems
Electric Drives
Intelligent Algorithms in Power Systems
Fourth Year- Semester – II
Project Semester
Project
Industrial Training
DSP and its applications to Electrical Systems
Introduction: Classification of signals, Concept of frequency in Continuous and discrete time signals, A-D and D-A conversion.
Discrete time signals and systems: Discrete Time Signals, Discrete Systems, Analysis of discrete time linear time-invariant systems, Discrete time systems described by difference equations, Implementation of discrete time systems, Correlation of discrete time signals.
Z- Transform: Z- Transform and Inverse z-transform, properties of z-transforms, rational z-transform, Inversion of the z-transform, One sided z-transform, Analysis of L TI Systems in z-domain. Introduction to Two-dimensional z-transform.
Frequency Analysis of signals and system: Frequency analysis of continuous time signals, Frequency analysis of discrete time signal, Fourier transforms. properties of Fourier transform for discrete time signals, Frequency domain characteristics of LTI systems, L I systems as frequency selective filters, Inverse system and de-convolution.
Discrete Fourier Transform: Frequency domain sampling, properties of OFT, Linear filtering methods based on OFT, Frequency analysis of signals using OFT.
Fast Fourier Transform: Efficient Computation of DFT, FFT algorithms, Direct Computation of DFT, Radix 2 FFT algorithms, Applications of FFT algorithms,
Applications of DSP in Electric Drives: Advantages of DSP processors in comparison with ordinary processors regarding digital and analog interface, Harmonic analysis using DSP language features, PWM and firing pulse generation, Look up tables and real time computation.
DSP applications to Power system: Review of various static and Digital Relays, Digital signal conditioning and algorithms for digital protection.
B.E. Electrical Engineering:DSP and its applications to Electrical Systems