csyifangli

Adaptive-Beamforming-Using-Machine-Learning-in-Matlab

Adaptive Beamforming techniques can be enhanced using Machine Learning Algorithms.

BCNN

Bayesian Convolutional Neural Networks for Compressed Sensing Restoration

BPCS

Compressed sensing

compressed-sensing

A couple of simple compressed sensing examples, based on examples from the notes of the excellent Computational Methods for Data Analysis course on Coursera taught by Nathan Kutz.

Compressed-Sensing-2

Compressed Sensing using NMF

Compressive-sensing

Master Thesis - Microscopic object image reconstruction using compressive sensing method.

CompressiveSensing

This is the repository for the compressive sensing algorithms that are either being rewritten or modified from existing authors to be assembled into a Matlab toolbox.

ECE6540_Estimaition_Theory-Spring-2018

Reevaluation of an existing DoA estimation method via Sparse Signal Processing

one-dimensional-DOA-estimation-based-on-MUSIC-algirithm

simulations based on MATLAB

USCT-Project

Matlab data and code for the design of a ring-array ultrasound transducer for breast imaging.

csyifangli/fastFWI

Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm

csyifangli/FWI-using-temporal-fourth-FD-modelling

These codes are used to complete elastic full waveform inversion using temporal fourth-order FD modelling. In order to accelete the algorith, GPU-based versions are privided here. What's more, the GPU shared memory is used in block level and the efficiency improvement is about 10%~15% on GTX 750ti, where efficiency improvement is dependent on the length of FD orders.

csyifangli/SeismicDataProcessing

csyifangli/MuLTI

Multimodal Layered Transdimensional Inversion of Seismic Dispersion Curves with Depth Constraints

csyifangli/MLIB

Library of Matlab/C++ functions for seismic applications

csyifangli/dt-wavelet

Codes for measuring travel-time shifts by seismic interferometry in the time-frequency domain with wavelet cross-spectrum analysis.

csyifangli/dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

csyifangli/FMCW-2T4R-SIM-MUSIC

FMCW 2T4R Radar Simulator and MUSIC Algorithm High Resolution DOA Estimation

csyifangli/slepian_oscar

Seismic and GPS processing bits and pieces

csyifangli/bh_tomo

A Matlab borehole radar/seismic tomography package

csyifangli/vilin-numerical-optimization

Application and framework for executing and testing numerical optimization methods. State of the art algorithms such as l-bfgs, cg_descent, Levenberg-Marquardt etc. A various line search methods: Wolfe, strong Wolfe, More-Thuente, approx-Wolfe. Useful and user friendly gui

csyifangli/DENISE-Black-Edition

2D time-domain isotropic (visco)elastic FD modeling and full waveform inversion (FWI) code for P/SV-waves

csyifangli/WSCM-MUSIC

Weighted Spatial Covariance Matrix Estimation for MUSIC based TDOA Estimation of Speech Source

csyifangli/Seismic-Data-Deblending

Deblend the Blended Seismic Data by Using the Low Rank Matrix Method

csyifangli/one-dimensional-DOA-estimation-based-on-MUSIC-algirithm

simulations based on MATLAB

csyifangli/mat_inverse_v2

Matlab application for inversion of Rayleigh phase velocity

csyifangli/HOVSR

Matlab application that finds main frecuency from seismic timeseries acceleration data using SH/SV Stockwell Transform/Nakamura method

csyifangli/EGF-time-correction-toolbox

Matlab toolbox for estimating the Green's function from cross correlating ambient seismic noise and measure time shifts in seismic data

csyifangli/qumia

Quantitative Ultrasound Muscle Imaging Analysis software

csyifangli/Optimized-Bayesian-Nonlocal-means-with-block-OBNLM-

Optimized bayesian nonlocal-means algorithm for denoising ultrasound image

csyifangli/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.

csyifangli/GL-QVBCE

Perform gridless channel estimation using angular structures

csyifangli/ultrasound

ultrasound Thyroid image processing using MATLAB

csyifangli/Automatic-Threshold-Sparse-Bayesian-algorithm

An improved algorithm for Threshold Sparse Bayesian algorithm can automatically adjust the best Threshold value.(YUAN YAO spotted it.)

csyifangli/2d-tomography

This repository is a 2D travel-time tomography seismic using MATLAB which I build and my friend Rinta in order to complete my Final Projects. The forward modelling is resolved using Fast Marching Method (FMM) with finite difference approximation and the raytracing is resolved based on John Vidale paper, Finite difference calculation of travel times. This code can use two method in inversion part, Least Square and Pseudo-Inverse where the input data is only needed travel time and the location of station (in UTM, both easting and northing). You can also set some parameters which could affects the tomography result, such as the number of iteration, displaying forward modelling or inverse modelling to track your data, save your model or not and etc.

csyifangli/LegoUltrasound

Summer Research on Ultrasound Image Processing at Hopkins advised by Professor Emad Doctor. Tools used include MATLAB deep learning and image processing toolbox as well as K-wave simulation toolbox

csyifangli/Image-Reconstruction-from-multiple-OCT-Partial-Images

Optical coherence tomography (OCT) is an optical imaging method. It can be considered analogous to ultrasound imaging with greater resolution but lower penetration depth. OCT cannot penetrate the tooth fully to observe tooth decay in-between teeth, since this area cannot be accessed directly, unlike with X-rays. This project attempts to reconstruct a 3D image of a tooth from partial 2D images taken from the side of a tooth which are normally accessible. Various techniques were explored both in terms of image capture and image registration.

csyifangli/video_image_processing_utils

Matlab code used for processing videos/images, primarily for ultrasound.

csyifangli/Ultrasound-ImageDe-noising

Ultrasound Image De-noising Using the Combination of Lee and Modified Perona-Malik Filters.

csyifangli/PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.