Fourier Series For Engineers: From Basics To Applications
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 523.13 MB | Duration: 2h 43m
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 523.13 MB | Duration: 2h 43m
Analyze signals, solve circuits and understand harmonics using Fourier series in engineering applications
What you'll learn
Introduction to Functions. Periodicity of a Function, Average Value of a Function, Correlation between Mathematical Functions and Electrical Signals
Even and Odd Functions, Half Wave Symmetry (HWS), Quarter Wave Symmetry (QWS), Delta Function, Periodic Pulse Function, Sinc Function
Vectors and Orthogonality, Orthogonality of Functions, Introduction to Elementary Calculus, Trigonometric Identities
Integration by Parts, Introduction to Complex Numbers, Complex Conjugate, Euler's Formula
Evolution of Fourier Series, Introduction to Fourier Series, Convergence of Fourier Series, Convergence of Fourier Series at Discontinuities
Trigonometric Fourier Series, Exponential Fourier Series, Importance of TFS and EFS, Correlation between Time and Frequency Domain
Fourier Series of Even Functions, Fourier Series of Odd Functions, Fourier Series of HWS Functions, Fourier Series of QWS Functions
Properties of Fourier Coefficients, Linearity Property, Symmetry Property, Time Shifting Property
Time Reversal Property, Frequency Translation Property, Differentiation Property, Integration Property
Real World Applications of Fourier Series, Fourier Coefficients using LTSpice Simulation, Periodic Pulse Waveform, Rectangular Waveform
Gibbs Phenomenon, Triangular Waveform, Sawtooth Waveform, Non-ideal Square Waveform, Fourier Series to Fourier Transforms
Requirements
Understanding of Basic Electrical Circuits
Basic proficiency in mathematics - algebra, calculus, complex numbers
Genuine Interest in the Subject Matter
Description
Hello and welcome!Thank you for choosing this course titled “Fourier Series for Engineers: From Basics to Applications.”This comprehensive, three-hour course is thoughtfully designed to provide you with a strong theoretical foundation in Fourier series while bridging the gap between abstract theory and real-world applications.Rather than spending countless hours navigating multiple textbooks, this course offers a well-structured and time-efficient learning path—from fundamental principles to advanced concepts. To support your learning, the course includes knowledge-check quizzes and LTSpice simulation files at key points, allowing you to apply what you've learned in practical, simulation-based scenarios. Course Curriculum Overview:Module 1: A Quick Recap of FunctionsReinforces essential concepts related to mathematical functions that are critical for understanding Fourier series.Module 2: A Quick Recap of Elementary MathematicsCovers foundational mathematical tools necessary for performing the computations involved in Fourier analysis.Module 3: Fourier SeriesIntroduces and explains the core concept of Fourier series in a step-by-step and accessible manner, starting from the basics.Module 4: Waveform SymmetriesExplores waveform symmetry properties that simplify mathematical derivations, reducing the complexity of calculations.Module 5: Properties of Fourier CoefficientsDiscusses key properties that allow for efficient computation of Fourier coefficients, even for complex waveforms.Module 6: Applications of Fourier SeriesApplies Fourier series to real-world waveforms, demonstrating practical utility across various engineering scenarios.Module 7: Conclusion and ReferencesSummarizes key takeaways and provides curated references for deeper exploration.By the end of this course, you’ll have built a solid theoretical foundation with practical insights—essential for mastering Fourier analysis and its applications in various engineering domains.We are excited to have you onboard and look forward to guiding you on this enriching learning journey.Let’s get started!
Overview
Section 1: Introduction to the Course
Lecture 1 Introduction
Section 2: A Quick Recap of Functions
Lecture 2 Introduction to Functions
Lecture 3 Periodicity of a Function
Lecture 4 Average Value of a Function
Lecture 5 Correlation between Mathematical Functions and Electrical Signals
Lecture 6 Even and Odd Functions
Lecture 7 Half Wave Symmetry (HWS)
Lecture 8 Quarter Wave Symmetry (QWS)
Lecture 9 Delta Function
Lecture 10 Periodic Pulse Function
Lecture 11 Sinc Function
Section 3: A Quick Recap of Elementary Mathematics
Lecture 12 Vectors and Orthogonality
Lecture 13 Orthogonality of Functions
Lecture 14 Introduction to Elementary Calculus
Lecture 15 Trigonometric Identities
Lecture 16 Integration by Parts
Lecture 17 Introduction to Complex Numbers
Lecture 18 Complex Conjugate
Lecture 19 Euler's Formula
Section 4: Fourier Series
Lecture 20 Evolution of Fourier Series
Lecture 21 Introduction to Fourier Series
Lecture 22 Convergence of Fourier Series
Lecture 23 Convergence of Fourier Series at Discontinuities
Lecture 24 Trigonometric Fourier Series
Lecture 25 Exponential Fourier Series
Lecture 26 Importance of TFS and EFS
Lecture 27 Correlation between Time and Frequency Domain
Section 5: Waveform Symmetries
Lecture 28 Fourier Series of Even Functions
Lecture 29 Fourier Series of Odd Functions
Lecture 30 Fourier Series of Half Wave Symmetric Functions
Lecture 31 Fourier Series of Quarter Wave Symmetric Functions
Section 6: Properties of Fourier Coefficients
Lecture 32 Properties of Fourier Coefficients
Lecture 33 Linearity Property
Lecture 34 Symmetry Property
Lecture 35 Time Shifting Property
Lecture 36 Time Reversal Property
Lecture 37 Frequency Translation Property
Lecture 38 Differentiation Property
Lecture 39 Integration Property
Section 7: Applications of Fourier Series
Lecture 40 Real World Applications of Fourier Series
Lecture 41 Fourier Coefficients using LTSpice Simulation
Lecture 42 Periodic Pulse Waveform
Lecture 43 Rectangular Waveform
Lecture 44 Gibbs Phenomenon
Lecture 45 Triangular Waveform
Lecture 46 Sawtooth Waveform
Lecture 47 Non-ideal Square Waveform
Lecture 48 Fourier Series to Fourier Transforms
Section 8: Conclusion and References
Lecture 49 The Conclusion
Analog circuit design engineers, Signal processing engineers,All engineering students,Power electronics and power converter designers,Anyone preparing for job interviews,Anyone looking for a quick subject revision