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