Covers the Fourier transform, its properties, applications in signal processing, and differential equations, emphasizing the concept of derivatives becoming multiplications in the frequency domain.
Covers the theory of numerical methods for frequency estimation on deterministic signals, including Fourier series and transform, Discrete Fourier transform, and the Sampling theorem.
Explores functional reactive programming as a cleaner and more functional alternative to the traditional observer pattern, using signals to simplify complex observer hierarchies.
Delves into advanced techniques in optical fiber communications to increase spectral efficiency and explores the use of multi-core fibers for space-division multiplexing.