Discrete Time Signal Processing
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Follow on Instagram for UpdatesDiscrete Time Signal Processing Syllabus — Unit-wise Content
The official GTU curriculum for Discrete Time Signal Processing (subject code 2712910) as prescribed for PE · Semester 1 divides the course into 6 units, covering 36 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 (2712910)Unit 1 Discrete Time Signals
- Sequences & systems
- Convolution & Correlation
- linear time invariant systems & their properties
- Difference equations
- Frequency domain representations of discrete time signals & systems
- DTFT & its properties
Unit 2 Sampling of Continuous Time Signals
- Periodic Sampling
- Sampling Theorem
- Frequency domain representation of sampling
- reconstruction of a band-limited signal from its samples
- discrete time processing of continuous time signals
- continuous time processing of discrete time signals
- changing the sampling rate using discrete time processing
- aliasing & its remedies
Unit 3 Z-Transform and Analysis of LTI System
- properties of ROC for the Z-transform
- inverse Z- transform
- unilateral Z-transform
- Frequency response of LTI systems
- systems functions frequency response for rational system functions
- relationship between magnitude & single-phase
- All-pass systems
- Minimum phase system
Unit 4 Structures Of Discrete Time Systems
- Signal flow graph representation of linear constant coefficient difference equation
- Basic structures of FIR & IIR systems
- Design of FIR filters by windowing
- Kaiser window
- Design of IIR filters from continuous time filter
Unit 5 Discrete Fourier Transform
- Discrete Fourier Series & its Properties
- Fourier Transform of Periodic Signal
- DFT & its properties
- Linear convolution using DFT, Decimation in time FFT algorithm
- Decimation in frequency FFT algorithm
Unit 6 Digital Signal Processor
- General and Special purpose digital signal processors
- DSP architectures & applications
- selection criteria
- Implementation of DSP algorithms
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