The Gaussian Mixture Probability Hypothesis Density filter, GMPHD python implementation
Cerebral Signal's Instantaneous Parameters (Phase, Frequency & Envelope) Estimation & Analysis MATLAB Toolbox
A Bayesian method which utilises the rich structure embedded in the sensing matrix for fast sparse signal recovery
Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians
DSP-based audio denoising with quantitative evaluation using RMS energy, crest factor, peak-to-RMS metrics, and time–frequency analysis.
C-based DSP/SSP monitoring engine for bearing fault detection on CWRU vibration data, featuring signal conditioning, FFT and envelope analysis, statistical reference profiling, EWMA smoothing, and N-of-M alarms.
River flow prediction based on rainfall-flow model and Kalman Filter
Practical implementation of selected algorithms, concepts and techniques in the field of telecommunications.
Statistical analysis of ground movement data from Earthscope GNSS; quantifying how much least squares underestimates uncertainty under colored noise.
Support code and material for the draft "Adaptive hyperparameter tuning for time-frequency algorithms based on the zeros of the spectrogram." Check online version of the results in the link below.
Reduction of pile driving noise in underwater acoustic recordings.
Fisher-information-based evaluation framework for HRTF spatial upsampling, with manuscript source, figures, metrics, and reproducibility code.
To associate your repository with the statistical-signal-processing topic, visit your repo's landing page and select "manage topics."