2D Weighted Phase Unwrapping

Robust and fast 2D weighted phase unwrapping based on Ghiglia and Romero (1994)

unwrap the phase. This scripts implements the algorithm from Ghiglia and Romero (1994) that uses least-square methods to solve the problem. The algorithm runs relatively quickly and the algorithm is also

Function to unwrap phase having 2*pi jumps just after phase extraction from interferogram

Phase unwrapping with implementing TV (Total Variation) minimization algorithm.

This is the function to unwrap 2*pi jumps on extracted phase from interferogram. This function implemented TV (Total Variation) minimization algorithm (ANTONIN CHAMBOLLE, “An Algorithm for Total

Magnitude-Sorted List, Multi-Clustering Phase Unwrapping Algorithm

Robust Phase Unwrapping for MR Temperature Imaging

The 'example.m' script shows how to use the algorithm. The file 'sunwrap.m' contains the actual algorithm.The code is available here:GitHub: https://github.com/fmaier/MRM-2014-Phase

qMRLab

Quantitative Magnetic Resonance Imaging Made Easy with qMRLab: Use GUI or CLI to fit and simulate a myriad of qMRI models.

Chebfun - current version

Numerical computation with functions

Fast 2D phase unwrapping

Fast 2D phase unwrapping implementation in MATLAB

. Kasim, "Fast 2D phase unwrapping implementation in MATLAB", https://github.com/mfkasim91/unwrap_phase/ (2017).This algorithm is also available from GitHub (https://github.com/mfkasim91/unwrap_phase/)

Calibrated 2D phase unwrapping algorithm based on least-squares and iteration

an approach to deal with high noise and to unwrap successfully phase data

Taking into account influence of noise in wrapped data, a calibration method of the 1st order spatial phase derivative is proposed and an iterative approach is presented.

Robust 2D phase unwrapping algorithm

2D phase unwrapping algorithm based on the Transport of Intensity Equation(TIE) and unwrapped phase correction.

we develop a simple and robust phase-unwrapping algorithm based on the transport of intensity equation (TIE). In our method, the TIE was solved using the fast cosine transform, and a phase correction

Phase unwrapping algorithms by solving the Poisson equation

Several direct and iterative phase unwrapping algorithms based on solving the Poisson equation are presented.

Several direct and iterative phase unwrapping algorithms based on solving the Poisson equation are presented. The differences between them are the way to calculate the input and output of the

SeisLab 3.01

Release 10.0301 of a collection of functions for analysis/display of seismic and well-log data.

2D and 3D Phase Unwrapping using SRNCP

2D & 3D phase unwrapping plugins for Matlab

compile:mex phaseUnwrap.cppInput must be a real, double matrix from Matlab.

Fast Checkerboard Demodulation for digital Schlieren imaging

Track optical distortions in a checkerboard pattern with high accuracy in real-time using the FCD method

track displacements as small as 0.01 pixels and up to about 4 pixels (For larger displacements phase unwrapping may be required. A basic implementation for this is included.)- Can resolve high virtual

Costantini phase unwrapping

Implementation of Costantini's 2D unwrapping method based on network programming

albeco/LaserPulse

LaserPulse is a Matlab class for simulations in nonlinear and ultrafast optics.

2D phase unwrapping algorithms

Implementations of the phase quality path following method and Goldstein's branch cut method.

Two 2D phase unwrapping approaches are included:1. Phase quality guided path following method.2. Goldstein's branch cut method.The algorithms are described in:D. C. Ghiglia and M. D. Pritt

PCG_unwrap_2D(ph_nii, ph_file, mask_nii, max_iter, epsi_con, N)

2D weighted Laplace unwrapping with preconditioned conjugate gradient algorithm

This phase unwrapping algorithm is based on the theory and c++ code from: "Two-Dimensional Phase Unwrapping, Theory, Algorithms, and Software" written by Dennis C. Ghiglia and Mark D. Pritt This

Phase unwrapping by accumulation of residual maps

Implements the paper "Phase unwrapping by accumulation of residual maps," OLEN, 2015.

Description: this code implements the paper:[1] Mariano Rivera, Francisco Hernandez-Lopez and Adonai Gonzalez, "Phase unwrapping by accumulation of residual maps," to appear in Optics and Lasers in

GoldsteinUnwrap2D_r1

Updated Goldstein's branch cut method of 2D phase unwrapping

This is an update of Bruce Spottiswoode's 2D phase unwrapping algorithms. This version runs much faster. This was partly done by cleaning up the decision logic.Also, it matches +/- residues by having

GaussCAD

A simulator for evaluating Gaussian optics and simulate projection onto a photodiode.

A simulator for evaluating Gaussian optics and simulate projection onto a photodiode. Visual representation of intensity/phase fields as described by Gaussian optics.A simulator for evaluating

QualityGuidedUnwrap2D_r1

Updates the phase quality-guided path following phase unwrapping method by Bruce Spottiswoode

logic more parallel to the updated GoldsteinUnwrap2D_r1 code. Corrected one line in PhaseDerivativeVariance_r1.m. the phase quality path following phase unwrapping method by Bruce Spottiswoode.

Improved Bandpass Phase Unwrapping.

Unwrapping the phase of bandpass filter measurements produces unreliable results. This submission addresses the problem.

The stock MATLAB unwrap.m function works great for data that has a lowpass frequency response. Bandpass data is a different story. The stopbands of the bandpass data is at each extreme of the

Phase Unwrapping using Recursive Orthogonal Referring (PUROR)

PUROR presents a fast phase unwrapping algorithm.

Liu J. and Drangova M., "Intervention-based multidimensional phase unwrapping using recursive orthogonal referring", Magnetic Resonance in Medicine, Volume 68(4):1303-1316, 2012

Phase Unwrapping MATLAB Code and Example Data (FAPUX method)

MATLAB Code and Example Data for Fast and Accurate Phase Unwrapping of Complex Phase Maps

This MATLAB package provides FAPUX implementation for fast, accurate, and robust phase unwrapping solution, designed to handle challenging phase maps with discontinuities, and intricate spatial

Reconstruction of off-axis hologram

Reconstruction of off-axis hologram

This MATLAB code reconstructs an off-axis hologram with phase unwrapping of the reconstructed phase distribution. For details see: T. Latychevskaia, P. Formanek, C.T. Koch, A. Lubk, "Off-axis and

Field Mapping Toolbox

Methods for B0 Mapping with Multi-Channel RF Coils in MRI (Robinson and Jovicich, MRM, 2011)

The main features of this B0 field mapping (FM) toolbox are describedin Robinson and Jovicich (MRM, 2011). In brief, they arei) combination of phase information from multi-channel coils using

IEV channel combination

IEV represents an algorithm for local frequency mapping from multi-ch and multi-echo data

Phase Portrait Plotter

Plot the phase portrait for the entered system of differential equations

: https://drive.google.com/drive/folders/1152DOOwuD15LD_EzwgH3XpRv08BDNzFc?usp=sharingChapter 2 provides a quick overview of the theoretical background. Chapter 3 contains the user guide and description of features.Chapter 4 provides some real life examples and phase portraits generated

Phase Plane and Slope Field apps

You can use the Phase Plane and Slope Field apps to qualitatively analyze ordinary differential equations (ODEs).

Slope Field and Phase Plane apps have been written entirely from scratch in MATLAB App Designer using modern MATLAB coding practices. This makes the new apps easier to maintain, edit, and use.Getting

Fast 2D phase unwrapping compiled from skimage

Compiled from https://github.com/scikit-image/scikit-image/blob/main/src/skimage/restoration/unwrap_2d_ljmu.c

Fast 2D phase unwrapping compiled from skimage https://github.com/scikit-image/scikit-image/blob/main/src/skimage/restoration/unwrap_2d_ljmu.c by David Gouyoumdjian at DigitalHolography Fundation

volkovt( gamma2 )

Performs 2D phase unwrapping, even if image is not squared. The angles should be in radians

Performs 2D phase unwrapping, even if image is not squared. The angles should be in radians between -pi and pi rangehttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC2575666/

MATLAB for Digital Communication

The MATLAB programs in "MATLAB/Simulink for Digital Communication" authored by Won Y. Yang et. al

Sideband)-AM(Amplitude Modulation)3.2 ANGLE MODULATION - FREQUENCY/PHASE MODULATIONSCHAPTER 4: ANALOG-TO-DIGITAL CONVERSION4.1 QUANTIZATION 4.1.1 Uniform Quantization 4.1.2 Non-uniform Quantization

hctsa

Highly comparative time-series analysis

MP3 a medical imaging toolbox (MRI, CT, PET...)

Medical software for Processing multi-Parametric images Pipelines

UnWrapper

Unwraps angles so that continuity is restored.

inputs change continuously, the angle will exhibit 2*pi jumps across the limits, which is sometimes undesirable (e.g. when the angle drives a control system).This block unwraps an input angle to the whole

Visualizing Phasors, an Animated GUI

A tool for visualizing phasor (voltage, current, impedance), along with animation.

This program is a GUI that let's you specify two of three phasors (voltage, current, impedance). The other phasor is calculated. The phasors are displayed, inluding and animation of the voltage and

Quantitative Susceptibility Mapping for MRI part 1

Superfast Quantitative Susceptibility Mapping from MRI phase data.

MBB-team/VBA-toolbox

Variational Bayesian Analysis (VBA)

Windowed Fourier transform for fringe pattern analysis

To process fringe patterns obtained from optical interferometry, fringe projection, SAR, MRI etc.

wft2f.m is for windowed Fourier transform. Please use "help wft2f" for details.unwrapping_qg_trim.m is for quality guided phase unwrapping. Please use "help unwrapping_qg_trim" for details.

Phase Spectrum Compensation

Phase Spectrum Compensation (PSC) framework for speech enhancement.

Basic implementation of the Phase Spectrum Compensation (PSC) [1] method for single channel speech enhancement is included, along with a demo that illustrates its usage. References:[1] A.P. Stark

Updated WFT for fringe analysis

With a small update.

Phase Vocoder

This MATLAB exercise implements a phase vocoder.

This MATLAB exercise implements a phase vocoder with the capability of speed-up or slow-down of a speech or audio signal by a factor, r, which varies from r = 0:25 (slow-down by factor of 4) to r =

Polar Phasors

MATLAB phasors

Useful for electric phasors. Functions:Descripe phasors in polar as: R = [Length Angle]a = [30 40]b = [10 30]c = [40 -59]Pkon: Complex conjugatepkon(c) == [40 59]Pmult: Polar

Phase Difference Measurement with Matlab

Phase difference measurement between two signals via DFT or cross-correlation.

The present code is a Matlab function that provides a measurement of the phase difference (as an angle) or time difference (as time duration) between two signals. In the first case, the measurement

Phase plane plotter

phase plane plotting for a second order nonlinear system

Phase plane portrait is a very important tool to study the behavior and stability of a non-linear system.PhasePlane(sys,tspan,icond) plots the the phase plane portrait for a general second order

Starting Six Phase Asymmetrical Induction Motor with Malfunction in Phase A

Six phase induction motor starts without one phase

This simulation simulates transient and steady state period in case of starting a six phase asymmetrical induction motor with malfunction in phase A (Phase A current is zero). The interesting thing

Instrument Control Toolbox Support Package for Total Phase Aardvark I2C/SPI Interface

Communicate with I2C or SPI devices using Total Phase Aardvark I2C/SPI board.

Instrument Control Toolbox™ Support Package for Total Phase Aardvark I2C/SPI™ Interface enables you to use the Total Phase Aardvark adaptor to communicate, using I2C or SPI interfaces, with your

NF2FF

Near-Field to Far-Field Transformation for Antenna Measurements

. Werner, "Satellite Radar Interferometry: Two-Dimensional Phase Unwrapping", Radio Sci., Vol. 23, No. 4, pp. 713-720, 1988.9. D. C. Ghiglia and M. D. Pritt, "Two-Dimensional Phase Unwrapping: Theory

Lorenz Phase Portrait

Plots the phase portrait of the Lorenz system.

Plots the phase portrait of the Lorenz system. Results are shown at each time interval, thus creating an animation. Solution can be viewed at several angles (az and el need to be changed). Feel free

Phase Portrait Plotter on 2D phase plane

This function could plot the phase portrait of the 2-dimentional autonomous system, and is configurable for arrows, vector fileds, etc.

, we only need one single command to get the phase portrait.plotpp(@(t,x)[x(2);-x(1)-1*x(2)])In the second example, we plot the phase portrait of the van der Pol equation:We set the time span to 20

TauFactor

App for analysis of image based geometry data in terms of tortuosity factors, volume fractions, surface areas and triple phase boundaries.

, surface areas and triple phase boundary densities, from image based microstructural data. The tortuosity factor quantifies the apparent decrease in diffusive transport resulting from convolutions of the

Phase-based Optical Flow

Phase-based estimation of the optical flow field.

The code implements the optical flow algorithm described in Gautama, T. and Van Hulle, M.M. (2002). A Phase-based Approach to the Estimation of the Optical Flow Field Using Spatial Filtering,IEEE

Phase Plots of Complex Functions

Routines for creating color representations of complex functions (phase plots)

The ZIP-file provides several routines for creating color representations of complex (in particular analytic and meromorphic) functions. Basically the argument (phase) of the function is encoded by a

Grid connected three phase inverter control using DQ frame

Closed loop control of three phase grid connected sine pwm inverter in synchronous reference frame

Three phase grid connected inverter is driven using Sine PWM. The sine references are generated using a PLL and Harmonic oscillator. The closed loop control is implemented in synchronous reference

Three-Phase Modular Multi-Level Converter (3-Phase MMC)

This example implements a Three-Phase Modular Multi-Level Converter (MMC).

This example shows the operation of a Three-Phase Modular Multi-Level Converter (MMC) using only Simscape™ Electrical™ Specialized Power Systems (SPS) components.It shows how to control in open-loop

Stator Voltage Control of Three Phase Induction Motor fed by Three Phase AC Voltage Controller

Stator Voltage Control of 3-phase IM is implemented by use of 3-Phase Ac voltage controller

The Circuit simulated above is one of the topologies of 3-Phase AC Voltage Controllers whose output is fed to IM for drive applications* A Pdf file is attached to best explain the operation of the

High Performance Single-Phase PLL with SFT phase detector

The Simulink model of A high-performance single-phase SFT-based PLL that gives outstanding performance is given

A high performance single-phase phase-locked loop using a sliding Fourier transform is proposed in this paper. The new PLL is using the sliding Fourier transform as a phase detector. The orthogonal

Active and reactive power control for a three-phase inverter

Decoupled active and reactive power control for a three-phase inverter connected to the utility grid based on the PI controller.

# Description:-This repository contains the SIMULINK model to control P and Q of the 3-phase VSI connected to the utility grid. The active power is regulated to track the command value using the PI

Phase Noise to Jitter

Jitter from phase noise vs. frequency data Calculates RMS jitter from phase noise power.

Usage:Jitter = Pn2Jitter(f, Lf, fc)Inputs:f: Frequency vector (phase noise break points), in Hz, row or column.Lf: Phase noise vector, in dBc/Hz, same dimensions, size(), as f.fc: Carrier frequency

Phase shift keying

phase shift keying

Binary Phase Shift Keying

Binary Phase Shift Keying Simulation.

This script simulates the Binary Phase Shift keying. Since BPSK is a digital modulation scheme, you can modulate as many bits as you want. however, I have only simulated it for few bits, so that the