Signal Processing
concepts · 13 notes linked
Related: Fourier Transform · Sampling Theorem · Aliasing · Fourier Analysis · Harry Nyquist · Claude Shannon · Information Theory · Harmonic Analysis
Notes
- Banjo Physics 411 AND Resonator Guitar Physics 412 — Physics research on banjo and resonator guitar acoustics and inharmonic partials
- Circles Sines and Signals — Interactive tutorial on aliasing and limits of discrete signal interpolation
- Convolution - Wikipedia — Integral operation computing weighted overlap of two functions at all shifts
- Discrete cosine transform - Wikipedia — Cosine-based transform for signal compression used in JPEG, MPEG, MP3
- Fourier analysis - Wikipedia — Decomposing functions into sums of trigonometric or complex exponential components
- Fourier transform for dummies — Intuitive explanations of Fourier transform from physics and engineering perspectives
- ICA Example — Infomax ICA separates brain and artifact sources from 100-channel EEG data
- Nyquist–Shannon sampling theorem - Wikipedia — Fundamental theorem defining minimum sampling rate for lossless reconstruction
- Single Pixel Camera — DIY single-pixel camera using Radon Transform reconstruction
- Stochastic resonance and the benefits of noise - from ice ages to crayfish and SQUIDs — Noise enhances weak signal detection in nonlinear systems via stochastic resonance
- Understanding Wavelets — Wavelet transform as a signal analysis tool preserving time-frequency locality
- Understanding the FFT Algorithm — Cooley-Tukey FFT algorithm mechanics explained with Python implementations
- Wavelet - Wikipedia — Time-frequency localized oscillation for signal decomposition and compression