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 BE05041041) as prescribed for Robotics · Semester 5 divides the course into 6 units, covering 33 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 (BE05041041)Unit 1 Introduction to Signal Processing in Robotics
- Systems and Signal Processing
- classification of signals
- Elements of analog/digital signal processing systems
- Concept of frequency in continuous and discrete-time signals
- Periodic Sampling
- Reconstructions of band-limited signals from its samples
- Signal processing specifically for sensors like IMUs
- Encoders, and proximity sensors
Unit 2 Discrete Time Signals and Systems
- Discrete Time Signals - representation
- mathematical operations
- Discrete Time Systems - representation
- correlation (with applications to robotic localization)
Unit 3 Frequency Domain Analysis
- Discrete Time Fourier Series representation
- Discrete Time Fourier Transform - representation
- Z-Transforms - representation
- Inverse Z-Transform
- Pole-Zero Plot
- Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT) representation
- Applications, and examples in motor vibration analysis
Unit 4 Digital Filter Design Techniques
- Classification of filters LPF, HPF, BPF, BSF
- Types of filters Butterworth
- FIR and IIR filters - basic structure and design techniques
- Applications in smoothing noisy sensor data for autonomous navigation
Unit 5 Advance DSP Techniques
- Multi-rate Signal Processing: Decimation
- Applications in robotic vision and image scaling
- Adaptive filters: Introduction
- Principles of Forward Linear Predictive filter and applications in noise cancellation for voice-controlled robots
Unit 6 DSP Processors & Automation Applications
- Harvard architecture
- Multiplier-accumulator (MAC) hardware
- architectures of fixed and floating-point DSP processors.
- (various Texas processors such as TMS320C6713
- TI TMS320C2000 series used in motor control)
- Applications in autonomous path planning and industrial automation
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