Digital Signal Processing Fundamentals: Interactive Textbook

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Related lectures (31)

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Practical Engineering: Signal Processing and Sound Synthesis

Covers advanced software engineering topics in signal processing and sound synthesis using Scala.

Karplus-Strong Algorithm: Simulating Metallic Strings

Explains the Karplus-Strong algorithm for simulating metallic string sounds using random noise and feedback loops.

Neural Signals and Signal Processing

Explores neural signals, EMG control, muscle synergies, and HD-EMG for prosthetic devices.

Impact of Sinusoidal Sum Terms

Covers the impact of a partial number of terms in a sum of sinusoids and executing examples with verified inputs.

The Karplus-Strong Algorithm

Introduces the Karplus-Strong algorithm for synthesizing plucked-string sounds using digital signal processing.

Fourier Series: Convergence and Dirichlet Theorem

Covers Fourier series convergence, Dirichlet theorem, and applications in signal processing.

Neural Signals and Signal Processing

Delves into neural signals, GLM, ANOVA, brain mapping, connectivity, and multivariate methods.

The Frequency Domain

Explores expressing signals in sinusoidal components and decomposing signals into different frequencies in the frequency domain.

Signal Processing: Basic Definitions and Properties

Explores basic signal definitions, properties, and digital signal processing techniques.

Neural Signals and Signal Processing

Explores nuclear magnetic resonance, MRI principles, pulse sequences, image reconstruction, safety considerations, and volume normalization in brain imaging.