Signal Definition, Signal Classification, System definition, System classification, for both continuous time and discrete time. Definition of LTI systems (Chapter 1)
Introduction to Fourier Transform, Fourier Series, Relating the Laplace Transform to Fourier Transform, Frequency response of continuous time systems, (Chapter 3) L1, L2
Frequency response of ideal analog filters, Salient features of Butterworth filters Design and implementation ofAnalog Butterworth filters to meet given specifications (Chapter 8) L1,Ll, L3
Sampling Theorem- Statement and proo 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) L1,L2, L3
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) L1,L2, L3
Course Outcomes:
After studying this course, students will be able to:
1.Understand and explain continuous time and discrete time signals and systems, in time and frequency domain
2. Apply the concepts of signals and systems to obtain the desired parameter/ representation
3.Analyse the given system and classify the system/arrive at a suitable conclusion
4. Design analog/digital filters to meet given specifications
5. Design and implement (assignment component)
a. the analog filter using components/ suitable simulation tools
b.the digital filter (FIR/IIR) using suitable simulation tools, and
c.record the input and output of the filter for the given audio signal
Question paper pattern:
TextBook:
References:
1. 'Theory and Application of Digital Signal Processing', Rabiner and Gold
2 'Signals and Systems', Schaum's Outline series
3. 'Digital Signal Processing', Schaum's Outline series