Course Outline
Introduction
Overview of Core Electronics Concepts and Principles Applied in DSP
- The relevance and depth of DSP in modern technologies.
Revisiting Mathematics and Physics Fundamentals Implemented in DSP
- Applying principles of statistics, probability, and noise.
- Reviewing linear systems and superposition physics concepts.
- Understanding ADC and DAC manipulation.
Overview of Useful DSP Software Platforms and Tools
Getting Started with Digital Signal Processor Architecture
- System requirements for DSP processors.
Working with Convolution Properties and Algorithms
- Delta function versus impulse response.
- Understanding input-side and output-side algorithms.
- Comprehending electronics correlation and speed in DSP.
Getting Started with the Discrete Fourier Transform
- What are Fourier Transforms?
- Manipulating DFT notations, format, and variables.
- Synthesising and analysing DFT calculations.
- Working with DFT properties and polar attributes.
Applying DFT Principles and Processes to DSP Functionalities
- Practising spectral analysis and evaluating frequency responses.
Operating Different DSP Domains and Choosing the Right Implementations
- Time and space domains.
- Frequency and wavelet domains.
Carrying Out Convolution Using the Frequency Domain
Employing Advanced Fourier Transform Properties and Applications
- What are Fourier Transform pairs and how do they work?
- Fast Fourier Transform versus Discrete Fourier Transform.
Implementing Continuous Signal Processing
Overview of Digital Filter Types and Their Primary Functions
Understanding How Information Filtering Works and Operating Basic Digital Filters
- Step response versus noise reduction.
Employing Moving Average Filters and Applying Convolution Implementations
Working with Window-Sinc Filters and Removing Frequency Components
Operating Recursive Filters and Chebyshev Filters
- What is the recursive method in DSP?
- What are Butterworth responses?
Choosing the Appropriate DSP Filter for an Electronics Application
Creating and Building a Custom DSP Filter Based on Arbitrary Frequency Response
- Testing and optimising a DSP filter.
Integrating a Tested DSP Filter Within the Preferred Electronics System
- Understanding DSP for data compression, imaging techniques, and more.
- Carrying out exercises for various DSP applications and use cases.
Overview of Advanced Software Tools for Achieving DSP Implementations
Implementing Complex DSP Techniques for Future Applications
- Exploring complex Fourier Transforms, z-Domain, etc.
Troubleshooting
Summary and Conclusion
Requirements
- Basic programming experience.
- Knowledge of fundamental electrical engineering concepts.
- An understanding of intermediate mathematics and physics concepts.
Audience
- Engineers.
- Computer Scientists.
