Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Parseval’s Theorem establishes a fundamental relationship between the energy of a function in time and frequency domains, showcasing its relevance in civil engineering and mathematical applications. This theorem is integral to analyzing periodic functions through Fourier series, revealing insights into vibrational analysis and energy calculations in structural dynamics. The exploration of Parseval’s Theorem extends to practical engineering scenarios, affirming its crucial role in computational and structural mechanics.
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
References
Chapter_14_Parse.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Parseval's Theorem
Definition: A theorem that relates the energy of a periodic function to the sum of the squares of its Fourier coefficients.
Term: Fourier Series
Definition: A way to represent a function as a sum of sinusoidal basis functions, which can help in analyzing and understanding periodic functions.
Term: Energy in Signal Processing
Definition: The total energy of a signal quantified through its representation in frequency or time domains, vital for applications such as structural health monitoring.
Term: Orthogonality of Functions
Definition: A property that implies certain functions, such as sine and cosine in Fourier series, do not affect each other when integrated over specific intervals, aiding in simplifications during calculations.