Inertial measurement unit(IMU) noise analysis with some intuitive explanation.
-
Updated
Mar 28, 2025 - Jupyter Notebook
8000
Inertial measurement unit(IMU) noise analysis with some intuitive explanation.
Robust multi-source audio separation with controlled noise injection using STFT and NMF in MATLAB.
A MATLAB-based Digital Image Forensics Dashboard for detecting image tampering using ELA, Noise Analysis, JPEG Artifacts, and Copy-Move detection.
Simulate and evaluate noise effects on optical diffusion measurements in time-resolved microscopy.
Fortytwo: Pulsar timing software for noise, gravitational-wave and common-signal analysis
Discovering if there exists a relationship🔗 between specific demographic characteristics in the population that would explain the tolerance in the population to report noise nuisance to the "311" department 👮🏻‍♂️
Python framework for simulating hybrid semiconductor-superconductor quantum circuits (FerBo, Andreev, Fluxonium, Gatemon, Gatemonium)
Implementation and analysis of quantum error correction codes (Bit-Flip, Phase-Flip, Shor's 9-qubit) with realistic noise simulation and performance benchmarking
Noise analysis on POL-2 and sensitivity of JCMT/SCUBA-2 while POL-2 mounted on the telescope.
A digital communication project that aims to explore matched filters.
Content related to waveform lidar data analysis.
testing denoising schemes in python
Artificial Intelligence methods applied to quantum noise spectroscopy
MATLAB simulation of SSB modulation and AWGN channel.
Template matching using OpenCV in Python. Various levels of noise are added to the input image, and various Gaussian blurring is performed. For all the resultant images, template matching is performed and results are written in an excel file
A MATLAB-based image processing project covering grayscale conversion, Gaussian noise modeling, autocorrelation analysis, filtering techniques, and quantitative evaluation using SNR and PSNR.
Quantum Noise Analysis for Quantum Addition: Part of the Quantum Computing Mentorship Program Screening Task. This repository explores the effects of noise on quantum computations, implements quantum addition using the Draper adder algorithm, and demonstrates techniques to mitigate noise impact on quantum circuits.
A lightweight research-oriented project analyzing how noise, missing values, and corrupted features affect machine learning model reliability. Includes synthetic data generation, multi-model training, and noise-impact evaluation with visualization. Designed as a teaching/learning artifact for data quality, robustness, and ML reliability concepts.
Design and ADS simulation of a 1.8 V two-stage 180 nm CMOS op-amp, including compensation trade-offs, closed-loop stability, and a separate noise study.
Designed and implemented a performance-balanced noise-canceling LNA in SCL 180nm CMOS using Cadence Virtuoso, covering CG-CS, Cascode, and Folded-Cascode architectures, RF analysis, full-custom layout, DRC/LVS, PEX, and a custom spiral inductor.
Add a description, image, and links to the noise-analysis topic page so that developers can more easily learn about it.
To associate your repository with the noise-analysis topic, visit your repo's landing page and select "manage topics."