Digital Signal Processing Fundamentals: Interactive Textbook

Related lectures (31)

Page 3 of 4

Explores the optimization of neuroprosthetic systems, including sensory feedback restoration and neural stimulation strategies.

Covers Fourier transform, sampling, reconstruction, Nyquist frequency, and ideal signal reconstruction.

Provides an overview of electromagnetic wave properties, including speed, refraction, frequency spectrum, and polarization.

Explores IQ demodulation using FPGA and MATLAB for noisy quantum signals.

Explores types of noise in signal processing and methods to mitigate interference.

Discusses the sampling theorem and its applications in signal processing.

Introduces the fundamentals of signals and systems, communication systems, and signal processing.

Covers the basic definitions and typology of signals, including analog and digital signals.

Explores the Discrete Fourier Transform applied to signals of unlimited duration using various windows for improved accuracy.

Explores advanced software engineering topics and signal processing using lazy lists to build a sound synthesizer from scratch.