CRA340 Applied Signal Processing Syllabus:
CRA340 Applied Signal Processing Syllabus – Anna University Regulation 2021
COURSE OBJECTIVES:
1. To understand the characteristics of various types of signals.
2. To carry out the preprocessing of continuous time signals and systems
3. To learn DTFT, FFT and Z-Transform methods in signals processing.
4. To design digital IIR, FIR filters for signal processing
5. To learn about various signal processors and its applications of signals.
UNIT – I INTRODUCTION TO SIGNALS AND SYSTEMS
Elementary signals in continuous and discrete time – graphical and mathematical representation – Elementary operations and classification of continuous and discrete time signals – CT systems and DT systems – Properties of CT systems and DT systems Classification of systems
UNIT – II ANALYSIS OF CONTINUOUS TIME SIGNALS AND SYSTEMS
The continuous time Fourier series – Fourier Transform properties – Laplace transform and properties – Impulse response – convolution integrals – Fourier and Laplace transforms in Analysis of CT systems – Frequency response of systems characterized by differential Equations
UNIT – III ANALYSIS OF DISCRETE TIME SIGNALS AND SYSTEMS
Fourier Transform of discrete time signals (DTFT) Properties of DTFT – Discrete Fourier Transform – Fast Fourier Transform (FFT) – Z Transform and Properties – Impulse response – Convolution sum – System analysis from difference equation model – Stability of systems
UNIT – IV DESIGN OF DIGITAL FILTERS
Review of design techniques for analog low pass filters – Frequency transformation – IIR filters – Properties – Design of IIR digital filters using bilinear transformation – FIR filters – Characteristics of FIR filters with linear phase – Design of FIR filters using Window functions
UNIT – V DIGITAL SIGNAL PROCESSORS AND APPLCATIONS
Architecture of TMS320C54xx DSP – Addressing Modes – Instructions and Programming – Applications: Signal Compression – Sine wave generators – Noise generators – DTMF Tone Detection – Echo cancellation – Speech enhancement and recognition
TOTAL: 45 PERIODS
COURSE OUTCOMES
Upon successful completion of the course, students should be able to:
CO1: Understand the characteristics of various types of signals.
CO2: Analyze continuous time signals and systems
CO3: Understand DTFT, FFT and Z-Transform methods in signals processing.
CO4: Design digital IIR, FIR filters for signal processing
CO5: Analyze and Apply various signal processors and its applications of signals.
TEXT BOOKS:
1. Alan V Oppenheim, Alan S Willsky, Hamid Nawab S , “Signals and Systems”, 2nd edition, Learning, New Delhi, 2015.
2. John G. Proakis, Dimitris K Manolakis , “Digital Signal Processing, 5th edition, Hoboken,NJ : Pearson Education, New Delhi, 2021
REFERENCES:
1. Lonnie C Ludeman, “Fundamentals of Digital Signal Processing”, Wiley & Sons, New Delhi, 2014.
2. Emmanuel C Ifeachor, Barrie W Jervis, “Digital Signal Processing”, Pearson Education, New Delhi, 2013.
3. Haykin S, Barry Van Veen, “Signals and Systems”, John Wiley and sons, New Delhi, 2016.
4. Vinay K Ingle, John G Proakis , “Digital Signal Processing using MATLAB”, Cengage Learning, New Delhi, 2012.