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Lawrence's Projects

bistatic icon bistatic

This is an educational exploration/adaptation of online available matlab code for ISAR. It focuses on exploring different Bistatic setups.

compressive_sensing_c_and_matlab icon compressive_sensing_c_and_matlab

C and MATLAB implementation of CS recovery algorithm, i.e. Orthogonal Matching Pursuit, Approximate Message Passing, Iterative Hard Thresholding Algorithms

fcn-pytorch111 icon fcn-pytorch111

Another pytorch implementation of FCN (Fully Convolutional Networks)

fcnn-example icon fcnn-example

This is a fully convolutional neural net exercise to detect houses from aerial images.

fista-net icon fista-net

A model-based deep learning network for inverse problem in imaging

gmamp icon gmamp

Generalized approximate message passing (GAMP) and generalized vector AMP (GVAMP) are Bayes-optimal algorithms widely used for unknown signal reconstruction of generalized linear models (GLM). However, they both have their own limitations, i.e., either requirements for independent and identically distributed (IID) transformation matrices or high-co

image_segmentation icon image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

isar icon isar

Simulation of an Inverse Synthetic Aperture Radar (ISAR) system to obtain a 2D image for a target.

isar-1 icon isar-1

Inverse synthetic aperture radar imaging with matlab algorithms

ista-net-pytorch icon ista-net-pytorch

ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing, CVPR2018 (PyTorch Code)

lfa_sc icon lfa_sc

Matlab implementation of the paper "Learning fast approximations of sparse coding"

lista icon lista

Implementation of Learning Fast Approximations of Sparse Coding

pytorch_admm-csnet icon pytorch_admm-csnet

Codes for model in "ADMM-CSNet: A Deep Learning Approach for Image Compressive Sensing" (TPAMI 2019)

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