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Week 1:Concept of frequency in continuous-time and Discrete-time signal
Week 2:Concept of frequency in continuous-time and Discrete-time signal
Week 3:Discrete time system
Week 4:Linear Time-Invariant Systems
Week 5:Recursive and Non-recursive discrete time system and its application
Week 6:Realization of Linear Time-Invariant Systems
Week 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 Multidate digital signal processing
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
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