Functions and scripts for analyzing waveforms, primarily audio. This is currently somewhat disorganized and unfinished.

Digital signal analysis library for python. The library includes such methods of the signal analysis, signal processing and signal parameter estimation as ARMA-based techniques; subspace-based techniques; matrix-pencil-based methods; singular-spectrum analysis (SSA); dynamic-mode decomposition (DMD); empirical mode decomposition; variational mod…

SciTuner is a guitar tuner written in Swift3

C++ and MATLAB code for fast and accurate fundamental frequency estimation

Code, Pre-trained Models and some materials accompanying "Data-driven Estimation of Sinusoid Frequencies"

Multiple Frequency Estimation Under Local Differential Privacy in Python

Fast superresolution frequency detection using MUSIC algorithm

vector and ensemble signal analysis w/ subspace methods such as Esprit and RootMusic

APDOB - Adaptive Periodic-Disturbance Observer

Fast partial tracking of audio with real-time capability through linear programming. Hungarian algorithm provides optimal spectral peak-to-peak matching in polynomial time.

This is the full code for the paper published in EURASIP , Signal Processing journal, titled "Frequency Estimation of Sinusoids from NonUniform Samples"

Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes

Repository of line spectra estimators used in the published article "Real-time sinusoidal parameter estimation for damage growth monitoring during ultrasonic very high cycle fatigue tests".

Signal space decomposition in MATLAB (MUSIC, Pisarenko, EV, Minimum Norm)

A frequency tracker based on a Kalman filter update of a single parameter adaptive notch filter

This Script is able to extract Frequency of the voice detected in an audio file (preferred in ".wav" filetype)

Source code of "Network-Wide Routing-Oblivious Heavy Hitters" paper by Ran Ben Basat, Gil Einziger, Shir Landau Feibish, Jalil Moraney, and Danny Raz (ACM/IEEE ANCS 2018).

Event-based Estimation of Periodic Phenomena Rate using Correlation in 3D - Kolář, J., Špetlík, R., Matas, J. (2024), In Proceedings of the 17th International Conference on Machine Vision (ICMV 2024)

Repository for post-processing pitch tracks to filter erroneous estimations and correct octave errors.

Event-based Estimation of Periodic Phenomena Properties - Kolář, J., Špetlík, R., Matas, J. (2024), In Proceedings of the 27th Computer Vision Winter Workshop, 2024