Trigonometric Fourier Series: Calculation and Interpretation

Related lectures (30)

Page 2 of 3

Explores signals, instruments, and systems, covering ADC, Fourier Transform, sampling, signal reconstruction, aliasing, and anti-alias filters.

Covers the calculation of Fourier coefficients for periodic complex signals and the concept of a complete orthonormal system.

Covers the concepts of analog, discrete, and digital signals, sampling times, frequencies, and pulses.

Covers the basics of signal processing, linear estimation, and digital filters.

Explores the Discrete Fourier Transform, Fast Fourier Transform, orthogonal functions, and trigonometric approximations.

Covers the Fourier transform, compression techniques, and spectral analysis of periodic signals.

Explores the application of Stokes' theorem to surfaces and vector spaces in Fourier analysis.

Explores the motivation behind Fourier series and transforms, their fundamentals, and applications in solving differential equations.

Covers numerical methods for solving boundary value problems using Crank-Nicolson and FFT.

Explores Fourier series coefficients, periodicity, and series relations.