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Description
Introduction to Electronic Filters is your comprehensive guide to understanding, designing, and applying first-order electronic filters using resistors, capacitors, and inductors. Whether you are a student, maker, or educator, this book demystifies the theory behind RC and RL filters and bridges the gap between concepts and real-world applications through simulation and experimentation.
From the basics of frequency response and phase shift to hands-on breadboard builds and Python-based simulations, this book offers a deeply practical learning experience. You will learn to analyse filters using Bode plots and phasors, and explore applications in audio tone shaping, sensor signal conditioning, noise reduction, and power supply filtering.
As you progress, you'll build, measure, simulate, and tune filters using modern tools like CircuitLab, Python, and the Analog Discovery 3. Each chapter includes thoughtfully crafted activities that reinforce learning by doing - designing filters for specific tasks, simulating dynamic behaviour, and observing how theory translates into performance.
Inside you'll find:
- A clear introduction to the fundamentals of electronic filters
- Detailed explanations of RC and RL filters, cutoff frequency, and phase
- Guided activities using both simulation and hardware tools
- Real-life applications in audio, sensors, power supplies, and more
- A beginner-friendly primer on Python and algebra for electronics
Whether you're working through simulations or experimenting with real components on your workbench, this book will help you develop a solid understanding of electronic filters and their role in practical circuits.
Peter Dalmaris is an educator, engineer, and lifelong learner. He is the founder of Tech Explorations, where he creates online courses and books that empower electronics enthusiasts, STEM educators, and students around the world. With a background in engineering and academic teaching, Peter is known for his hands-on, accessible approach to technical education. His work combines theory with practice, helping learners of all levels build confidence through making and experimentation.
