Pinned Repositories
2.680-Marine-Vehicle-Autonomy
This course covers basic topics in autonomous marine vehicles, focusing mainly on software and algorithms for autonomous decision making (autonomy) by underwater vehicles operating in the ocean environments, autonomously adapting to the environment for improved sensing performance. It will introduce students to underwater acoustic communication environment, as well as the various options for undersea navigation, both crucial to the operation of collaborative undersea networks for environmental sensing. Sensors for acoustic, biological and chemical sensing by underwater vehicles and their integration with the autonomy system for environmentally adaptive undersea mapping and observation will be covered. The subject will have a significant lab component, involving the use of the MOOS-IvP autonomy software infrastructure for developing integrated sensing, modeling and control solutions for a variety of ocean observation problems, using simulation environments and a field testbed with small autonomous surface craft and underwater vehicles operated on the Charles River.
2020a_IMT_SSH_mapping_NATL60
A student challenge on both mapping of satellite altimeter sea surface height data and its dynamical update through web portals for scientific teams interested in the data challenge. Organisation: IMT-Atlantique, MEOM@IGE, Ocean-Next and CLS.
2020a_SSH_mapping_NATL60
A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.
2021_MSSP
This repository contains the established models discussed in the paper: "A Physics-constrained Deep Learning Based Approach for Acoustic Inverse Scattering Problems"
2L_QG_EOF_DMD
Deterministic and stochastic (projector operator stochastic parameterization) 2-layer QG model
3D_Parabolic_Equation_CUDA
Acoustic Parabolic Equation model with CUDA acceleration.
ML-Applied-for-Physics
paraPropPython
split-step parabolic equation solver for in-ice radio propagation
Rafelski_LandOceanModel
Code for land uptake of CO2 and ocean uptake of CO2. Original author: Lauren Rafelski
transfer-learning-soil-moisture-prediction
Improved Daily SMAP Satellite Soil Moisture Prediction over China using deep learning model with transfer learning
cxzhangqi's Repositories
cxzhangqi/Rafelski_LandOceanModel
Code for land uptake of CO2 and ocean uptake of CO2. Original author: Lauren Rafelski
cxzhangqi/ML-Applied-for-Physics
cxzhangqi/Acoustic-direction-finding-using-single-acoustic-vector-sensor-under-high-reverberation
We propose a novel and robust method for acoustic direction finding, which is solely based on acoustic pressure and pressure gradient measurements from single Acoustic Vector Sensor (AVS). We do not make any stochastic and sparseness assumptions regarding the signal source and the environmental characteristics. Hence, our method can be applied to a wide range of wideband acoustic signals including the speech and noise-like signals in various environments. Our method identifies the “clean” time frequency bins that are not distorted by multipath signals and noise, and estimates the 2D-DOA angles at only those identified bins. Moreover, the identification of the clean bins and the corresponding DOA estimation are performed jointly in one framework in a computationally highly efficient manner. We mathematically and experimentally show that the false detection rate of the proposed method is zero, i.e., none of the time-frequency bins with multiple sources are wrongly labeled as single-source, when the source directions do not coincide. Therefore, our method is significantly more reliable and robust compared to the competing state-of-the-art methods that perform the time-frequency bin selection and the DOA estimation separately. The proposed method, for performed simulations, estimates the source direction with high accuracy (less than 1 degree error) even under significantly high reverberation conditions.
cxzhangqi/acoustic_MIMO
MEng Design project code. Numpy, and Matplotlib for acoustic channel modeling. Uses Keras-Tensorflow for supervised and unsupervised tasks.
cxzhangqi/ANN-selection-and-evaluation
cxzhangqi/AVISOEke
Scripts for downloading AVISO data and calculating and plotting geostrophic eddy kinetic energy.
cxzhangqi/awesome-open-climate-science
Awesome Open Atmospheric, Ocean, and Climate Science
cxzhangqi/bigdata18
Transfer learning for time series classification
cxzhangqi/cmip6hack-ocean-o2
Ocean oxygen in a warming world
cxzhangqi/electron-ssr-backup
electron-ssr原作者删除了这个伟大的项目,故备份了下来,不继续开发,且用且珍惜
cxzhangqi/embedded_project_2019
embedded project
cxzhangqi/FDTD-Matlab
If you find these codes useful please quote the paper in the website section
cxzhangqi/matlab
cxzhangqi/MeshGenerator_SWE
Generate 2D mesh with elevation for shallow water equation modelling
cxzhangqi/MLR_SSTA
A tutorial to performance multiple linear regression in MATLAB.
cxzhangqi/OceanEddies
A collection of algorithms to autonomously identify and track mesoscale ocean eddies in sea surface height (SSH) satellite data
cxzhangqi/oceanspy
A Python package to facilitate ocean model data analysis and visualization.
cxzhangqi/OceanSurfaceAlbedo-calculation
Ahoy! I'm doing PhD and trying to solve a problem for my calculation incorporating into the Radiation Transfer etc. I'll be so gratefull if you will suggest (in programming way and science)- How to do it Better.
cxzhangqi/Optimized_Leach
https://www.researchgate.net/project/Development-of-High-Performance-Wireless-Sensor-Network-based-on-Stochastic-Geometry-and-Graphical-Optimization-techniques-for-hybrid-Event-Monitoring-within-Deep-Belief-Network
cxzhangqi/pyram
Python adaptation of the Range-dependent Acoustic Model (RAM).
cxzhangqi/pyrcca
Regularized kernel canonical correlation analysis in Python
cxzhangqi/pyroms
Python tools for the Regional Ocean Modeling System (ROMS)
cxzhangqi/QG_Multiscale_DA
Multiscale ensemble data assimilation method prototyping with QG model
cxzhangqi/ROMS_3.7_for_ETRAC
Regional Ocean Modeling System (ROMS), version 3.7, with added capability to produce output for the ETRAC software
cxzhangqi/Sommerfeld-Research
Research papers on 2DEG Systems in the Terahertz frequency domain
cxzhangqi/surface_mixing
Code for simulations and analysis for the paper: "Mixing of passive tracers at the ocean surface"
cxzhangqi/swot-natl60
Source code of NALT60 website.
cxzhangqi/Thesis
M.tech dissertation report on topic Intrusion Detection System in Wireless Sensor Network
cxzhangqi/TransferLearningTimeSeries
Transfer Learning for Time Series Prediction Task
cxzhangqi/useful-script
restore some normal scripts