Mixing an audio file with a noise file at any Signal-to-Noise Ratio (SNR)
Python software for multipath analysis of GNSS observations
2021 INTERSPEECH, "Improved Personalized Speech Enhancement through SNR-Informed Self-Supervised Pretraining".
Aether enhances low-light images from the PSR regions of lunar craters to improve signal-to-noise ratio (SNR). By applying advanced deep learning and image processing techniques, the project creates high-resolution image maps from Chandrayaan-2's OHRC, aiding lunar landing site selection and supporting geomorphological studies of the lunar pole
Building N-Tap Filter With SNR(Signal to noise Ratio) Metric Using Matlab
NaN-aware, leakage-free stability selection for scientific signals and spectra
Select which weight matrices of an LLM to fine-tune by signal-to-noise ratio (Spectrum, arXiv:2406.06623). Weights-only SVD scan of safetensors; dense, MoE and hybrid models; outputs LoRA targets and Axolotl YAML.
SNR-driven adaptive step-size control for CMA-ES under noisy black-box optimization. A transparent proxy layer that adjusts sigma using signal-to-noise ratio estimates, with full experimental infrastructure and sensitivity analysis.
Different Signal Processing Tasks
Files to automate the counting of fluorescent puncta (such as extracellular vesicles) from TIF images using cmeAnalysis in Matlab
Reliable SNR estimation directly from k-space data in radial multi-coil MRI.
a Python Class including codes and methods to perform signal to noise ratio analysis on AES-128 Encryption
This reposetory contains codes on MATLAB to process Pressure Signals.
icence-free Concurrent Design Center for Earth-observation satellite missions - SNR model (EGS YZH MAN 129 00) in Python and MATLAB, verified against the document's worked example
Repository containing the codes developed throughout the project "Topological Data Analysis for Gravitational Wave Detection under Low Signal-to-Noise Ratios" presented at 4th DSML School (2025) in São Paulo, SP.
The WienerFiltering function denoises data using Wiener filtering based on Welch's PSD estimation.
Signal-and-noise simulation laboratory for synthetic time series, SNR, filtering and detection-method experiments. Includes documented computational analysis, visualization and reproducible workflows appropriate to the project scope.
Interactive spectral noise-budget studio for photon noise, detector noise, throughput and precision limits in astronomical spectroscopy. Includes documented computational analysis, visualization and reproducible workflows appropriate to the project scope.
The Information-Boundary Universe: Formalizing Semantic Biophysics and quantum error-correction protocols in multi-agent biological networks. Applying Landauer's Principle, computational irreducibility, Orch-OR, and the Holographic Principle to optimize signal-to-noise ratios (SNR) in complex theoretical biology systems.
How do film sound and Foley work? An interactive, open-source explainer. Glassbox No. 057.
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