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custom-made-sar-speckle-reduction

Spekle reduction of SAR images in matlab using different custom-made filters: -Mean filter. -Frost filter. -Modified frost filter(added thresholds). -Lee filter(Using Masks, ENL ect). Note these fitlers are developed without the use of loops to make them faster.

cv-cnn

SAR

cv-despecknet

This repo implements a complex-valued multi-stream fully convolutional network for PolSAR data despeckling.

cv_reco

opencv-python编写,大量计算机视觉和机器学习的python程序

cvnn-polsar

Core code for simulations used for most of my publications

cyclic-spectrum

cyclicspectrumplot

Provide MATLAB functions to plot Cyclic Spectrum.

cyclo-matlab

Cyclostationary processing concepts and methods

cyclo_channelizer

Simple cyclostationary detector and channelizer in MATLAB

cyclostationarity-uac

Matlab code to accompany the following publication: F.-X. Socheleau, Cyclostationarity of Communication Signals in Underwater Acoustic Channels, IEEE JOE 2023.cyclic

cyclostationarity_analysis

Python functions and scripts to analyse cyclostationary signals

cyclostationary

A module adding spectral estimation routines to GNU Radio.

cyclostationary-1

Cyclostationary analysis

cyclostationary-signal-processing

cyclostationary-signal-processing-1

Learning notes of cyclostationary signal processing

cyclostationary_signal_processing

Cyclostationary Signal Processing

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

da

Unsupervised Domain Adaptation Papers and Code

darod

DAROD: A Deep Automotive Radar Object Detector on Range-Doppler maps (IEEE Intelligent Vehicle Symposium 2022)

data-science-notes

数据科学的笔记以及资料搜集

data-wrangling

Code repository for Data Wrangling with Python (O'Reilly)

databook_matlab

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

dcafuse

Feature fusion using Discriminant Correlation Analysis (DCA)

debbi-s-cube

Step-by-step guide of Hyperspectal Target Detection

deep-architectures-for-modulation-recognition

deep learning implement for modulation classification ,codes for paper <Deep Architectures for Modulation Recognition>

deep-complex-networks

Implementation of Deep Neural Networks in Complex number.

deep-learning-project

A Deep learning project that solves the problem of classification of given satellite images as iceberg or a ship.

deep-tensor-factorization-for-hyperspectral-image-classification

Hyperspectral image classification by exploring deep tensor facorization, published in IGARSS 2018.

deepcnn_polsar

This code is for the paper "PolSAR Image Classification based on Deep Convolutional Neural Networks and Wavelet Transformation" that is published in the IEEE Geoscience and Remote Sensing Letters journal.