Signal Processing Techniques and its Applications

Overview

Digital Signal Processing (DSP) is concerned with the representation, transformation and manipulation of signals on a computer. After half a century advances, DSP has become an important field, and has penetrated a wide range of application systems, such as consumer electronics, digital communications, medical imaging and so on. With the dramatic increase of the processing capability of signal processing microprocessors, it is the expectation that the importance and role of DSP is to accelerate and expand.PRE-REQUISITE: NillINTENDED AUDIENCE:UG and PG student of Electronics and Electrical Communication Engg, Electrical Engineering and Computer Science and Engineering along with Industry working in the area of Image and speech processingINDUSRTY SUPPORT:Nill

Syllabus

Week 1:Concept of frequency in continuous-time and Discrete-time signalWeek 2:Concept of frequency in continuous-time and Discrete-time signalWeek 3:Discrete time systemWeek 4:Linear Time-Invariant SystemsWeek 5:Recursive and Non-recursive discrete time system and its applicationWeek 6:Realization of Linear Time-Invariant SystemsWeek 7:Discrete Time Fourier Transform(DTFT)Week 8:Discrete Fourier Transform(DFT) and Fast Fourier Transform(FFT)
Week 9:Short Time Fourier Transform(STFT) and Its Application
Week 10:Use of FFT in Linear Filtering and correlation, Discrete cosine transform (DCT) and its Application
Week 11:Introduction to Digital Filter design (FIR and IIR)
Week 12:Homomorphic Signal Processing and Multirate digital signal processing