Digital Signal Processing
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Digital Signal Processing Syllabus — Unit-wise Content
The official GTU curriculum for Digital Signal Processing (subject code 2150307) as prescribed for Biomed · Semester 5 divides the course into 4 units, covering 62 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 (2150307)Unit 1 INTRODUCTION OF SIGNALS SYSTEMS
- Size of a signal
- Signal Operations
- Classification of Signals
- Some Useful Signal models
- even and Odd Functions
- Classification of Systems
- Correlation- auto correlation and cross correlation
- Impulse response
- Time Response analysis of Discrete time systems
- Frequency Response analysis of Discrete time systems
- Phase and group delays
- Minimum Phase
- Maximum Phase
- Anti aliasing filter
- Reconstruction of signals
Unit 2 TRANSFORM DOMAIN TECHNIQUE
- DISCRETE FOURIER TRANSFORM Representation of Periodic sequences: The discrete Fourier series
- Properties of discrete Fourier Series
- Fourier Transform of Periodic Signals
- Sampling the Fourier Transform
- The Discrete-Fourier Transform
- Properties of DFT, Linear Convolution using DFT
- COMPUTATION OF DFT: Goertzel Algorithm
- Decimation-in-Time FFT Algorithms
- Decimation-in- Frequency FFT Algorithm
- Z-TRANSFORM: Region of convergence (ROC)
- Properties of the Z-Transform
- Z-transform solution of linear difference equations
- Frequency response from pole zero location
Unit 3 STRUCTURES FOR DIGITAL FILTERS
- Block Diagram representation of Linear Constant-Coefficient Difference equations
- Basic Structures of IIR and FIR Systems- Direct
- Cascade and parallel
- Transposed structures
- Lattice structures
Unit 4 DIGITAL FILTERS
- Ideal filters- Low pass
- High pass
- Band pass
- Band stop
- All pass filter
- Analog filter approximation- Butter worth and Chebshew
- Comparision between Butterworth and Chebyshev Filter
- Frequency Transformation in Analog Domain and digital domain
- DESIGN OF IIR FILTERS FROM ANALOG FILTERS: Approximation of Derivatives
- impulse invariance technique
- bilinear transformation
- matched z-transform
- Mapping between S-plane and Z-plane
- DESIGN OF FIR FILTERS: Linear phase FIR filter and its frequency response
- Design of FIR filters using windows - Rectangular
- Triangular or Bartlett
- Frequency sampling method
- Optimum Equiripple Approximation
- Comparison between IIR and FIR filter
- Adaptive filters
- Finite word length effect in digital filters
- APPLICATIONS OF DIGITAL FILERS FOR BIOMEDICAL SIGNALS: Removal of noise and periodic events using different IIR and FIR filters
- Motion artifacts from ECG signal
- Removal of baseline drift in ECG using digital filters
- QRS Detection
- Detection of Alpha
- Beta and Gamma wave
- Arrhythmia detection algorithms
- Heart rate variability analysis
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