signal processing
Semester : VI
Course Code : 18EC651
CIE Marks : 40 SEE Marks : 60
SIGNAL PROCESSING
18EC651
SYLLABUS
Module-1
Signal Definition, Signal Classification, System definition, System classification, for both continuous-time and discrete-time. Definition of LTI systems (Chapter 1)
Module-2
Introduction to Fourier Transform, Fourier Series, Relating the Laplace Transform to Fourier Transform, the Frequency response of continuous-time systems, (Chapter 3)
Module-3
Frequency response of ideal analog filters, Salient features of Butterworth filters Design and implementation of Analog Butterworth filters to meet given specifications (Chapter 8)
Module-4
Sampling Theorem- Statement and proof, converting the analog signal to a digital signal. Practical sampling. The Discrete Fourier Transform, Properties of DFT. Comparing the frequency response of analog and digital systems. (FFT not included) (Chapter 3, 4)
Module-5
Definition of FIR and IIR filters. Frequency response of ideal digital filters Transforming the Analog Butterworth filter to the Digital IIR Filter using suitable mapping techniques, to meet given specifications. Design of FIR Filters Using the Window technique, and the frequency sampling technique to meet given specifications Comparing the designed filter with the desired filter frequency response (Chapter 8)
- digital communication
- embedded systems
- microwave and antennas
- operating system
- artificial neural networks
- data structures using C++
- digital system design using verilog
- nano electronics
- python application programming
- signal processing
- sensors and signal conditioning
- virtual instrumentation
- microcontrollers
- basic VLSI Design