Practical Engineering 1: Signal Processing

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Related lectures (31)

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Scala Lens Compilation

Covers the compilation process of Scala Lens and the use of iterable collections for padding results.

Practical Engineering: Signal Processing and Sound Synthesis

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

Signals, Instruments, and Systems

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

Functional Programming: Concepts and Implementation

Covers the concepts and implementation of functional programming in Scala, emphasizing functions, immutable data, and data abstraction.

Fourier Transform and Sampling

Covers the Fourier transform of sampled signals, reconstruction, and harmonic response.

Psychoacoustics and Signal Processing

Explores psychoacoustics, signal processing, and the brain's interpretation of sound frequencies, covering topics like the Missing Fundamental phenomenon and the inner workings of the cochlea.

Karplus-Strong Algorithm: Simulating Metallic Strings

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

Filtering and Sampling of Signals

Explores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.

Property-Based Testing: Advanced Techniques

Explores advanced software testing techniques, including property-based testing, to ensure code correctness and improve software quality.

Sampling and Reconstruction

Covers sampling, Fourier Transform, and reconstruction using low-pass filters in signal processing.