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GitHub topics: signal-reconstruction

wendelangelo221/pico-ps2-diagnostic-tool

Captures and replays signals on a PS/2 interface (DATA and CLOCK lines). A "capture" is a sequence of GPIO readings taken at short intervals, effectively logging the entire timeline of PS/2 pin states during recording. Each capture can be replayed - emulating the original signal.

Size: 1.95 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

therealdreg/pico-ps2-diagnostic-tool

Captures and replays signals on a PS/2 interface (DATA and CLOCK lines). A "capture" is a sequence of GPIO readings taken at short intervals, effectively logging the entire timeline of PS/2 pin states during recording. Each capture can be replayed - emulating the original signal.

Language: C - Size: 533 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 7 - Forks: 0

sylvaincom/astride

[EUSIPCO 2024] Python implementation of "ASTRIDE: Adaptive Symbolization for Time Series Databases"

Language: Jupyter Notebook - Size: 5.76 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 17 - Forks: 3

miguelcarcamov/csromer

Compressive Sensing and Optimization Framework to reconstruct Faraday Depth signals

Language: Python - Size: 149 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 3

HarmoniCode/Sampling-Studio

desktop application that demonstrates signal sampling and reconstruction, emphasizing the Nyquist–Shannon sampling theorem. It allows users to explore the effects of different sampling frequencies on signal reconstruction and understand aliasing.

Language: Python - Size: 15.6 MB - Last synced at: about 7 hours ago - Pushed at: 4 months ago - Stars: 0 - Forks: 3

Sameer-Ahmed7/EEG-Signal-Reconstruction-CycleGAN

This repository enhances EEG signal reconstruction using CycleGAN to improve brain-computer interface (BCI) signals. By translating between MRI and EEG domains with Continuous Wavelet Transform (CWT), it aims to enhance low-quality or noisy EEG data.

Size: 2.93 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

fatihguelec/Signal-Reconstruction-in-Diffusion-based-Molecular-Communication

This repository contains MATLAB codes developed in 2018 to simulate the proposed model in Atakan, B., & Gulec, F. (2019). "Signal reconstruction in diffusion-based molecular communication." Transactions on Emerging Telecommunications Technologies, 30(12), e3699.

Language: MATLAB - Size: 16.6 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

emsquared2/Telecommunications-NTUA

Project assignment for course Introduction to Telecommunications at ECE NTUA

Language: MATLAB - Size: 4.14 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

madisousa/Phase-Retrieval-Algorithms-

Phase retrieval is an applied problem in the field of frame theory that describes recovering the phase of a signal given linear intensity measurements. We give examples of the codes for algorithmic phase retrieval, specifically the Gerchberg-Saxton and PhaseLift methods.

Language: Python - Size: 5.86 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

pGiad/Telecommunications-Project-NTUA

Semester Project for course Introduction to Telecommunications at ECE - NTUA

Language: MATLAB - Size: 3.38 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

saied-salem/Sampling-and-Reconstruction-Studio

Sampling and reconstruction studio with composer

Language: Python - Size: 18.4 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

JiahongChen/WSN-SAE

This repo provides source code for optimizing sensor sampling locations in wireless sensor networks using spatiotemporal autoencoder.

Language: Python - Size: 1.47 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

pprattis/signal-Sampling-and-Wrapping

From a continuous time signal get minimum required sampling frequency to allow the reconstruction of the signal and application of the reconstruction formula of the sampling theorem.

Language: MATLAB - Size: 4.88 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0