Digital Signal Processing
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Follow on Instagram for UpdatesDigital Signal Processing Syllabus — Unit-wise Content
The official GTU curriculum for Digital Signal Processing (subject code 3715203) as prescribed for EAC( · Semester 1 divides the course into 5 units, covering 38 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (3715203)Unit 1 Signals and Signal processing, Classification of signals; Examples of
- typical signals
- Signal applications
- Discrete time signals
- The sampling process
- Characterization of linear time-invariant systems
- Convolution and its properties
- Difference equations
Unit 2 The Discrete Fourier Transform, The discrete-time Fourier transform; Discrete
- Fourier transform and its properties
- Linear convolution
- Fast Fourier transform
- z-transform and inverse z-transform
Unit 3 Linear Time-Invariant Discrete Systems in the Transform Domain, Finite
- dimensional discrete systems
- Transfer function
- Simple digital filters
- Inverse systems
- Linear phase filters
- Chebyshev’s theorem
- Remez algorithm
Unit 4 Digital Processing of Continuous-Time Signals, Sampling of continuous-
- time signals
- Paley-Wiener theorem
- Nyquist frequency
- Kotelnikov - Shenon’s theorem
- Analog low pass filter design
- Design of analog high pass
- Band pass and band shop filters
- Analog - to - digital converter
- Digital- to- Analog converter
Unit 5 Digital Filter Structures, Block diagram representation; Basic finite and
- infinite impulse response (FIR & IIR)
- Digital filter structures
- All pass filters
- IIR tapped cascaded lattice structure
- FIR cascaded lattice structure
- Digital sine-cosine generator
- Preliminary considerations
- Bilinear transformation method of IIR filter design
- Design of low pass
- High pass
- Band pass
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