Description: Partial volume correction method using reverse diffusion interpolation
This function implements a reverse diffusion scheme to interpolate images to correct for partial volume effect. Under the assumption that the pdf is about the size of the pixel (e.g. MRI), edges between two structures can be recovered.
There is a script (go1.m) that asks to select multiple dicom files and then runs the main function. Any file formats could be read upon a small modification (imread instead of dicomread).-Partial volume correction method using're This verse diffusion interpolation function i mplements a reverse diffusion scheme to interp olate images to correct for partial volume effe ct. Under the assumption that the pdf is about th e size of the pixel (e.g. MRI), edges between two structures can be recovered. There is a script (go1.m) that asks to select intercommunication handset dicom files and then runs the main functio n. Any file formats could be read upon a small mod ification (imread instead of dicomread). Platform: |
Size: 1634304 |
Author:xj |
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Description: Matlab中没有现成的Lagrange插值函数，必须编写一个M文件实现Lagrange插值。
设n个节点数据以数组x0,y0 输入（注意Matlat的数组下标从1开始），m 个插值点以数组 x输入，输出数组y 为 m个插值。
编写一个名为lagrange.m的M文件。-Matlab is not off-the-shelf Lagrange interpolation function, we must realize the preparation of an M file Lagrange interpolation. N nodes based data to an array of x0, y0 input (Note Matlat subscript of the array starting at 1), m a x interpolation points to the array input and output array y for m months interpolation. Lagrange.m the preparation of a M-file. Platform: |
Size: 1024 |
Author:贺鼎宏 |
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Description: 里面有8PSK，GMSK的matlab源程序，贡献出来了-I was interested in the theory for 8PSK and came across this m-file written in 1999. It
requires 2 function calls (graymapPSK and grayunmapPSK) which I have
included and must be uncommented(single comments only) and loaded into your workspace.
Remove the function calls from this m-file after you load into your
workspace.
It seems to work well and give valid results for BPSK and QPSK but I have a question
about the setup for 8PSK and the solution for Pseint where Pse=Pseint.
Also, the Gray coding seems different than what I m used to.
Some of you more theoretical minded may have some insight into the theory
behind how Pseint was determined and comment. I don t have the
communications toolbox-blockset and was wondering how it compared with Matlab s
example simulation of 8PSK with Gray coding (in Simulink?)
Each run takes about a minute and the loop iterations are shown in the
command window.
A numerical example of a satellite link is shown using uncoded QPSK Platform: |
Size: 3072 |
Author:杨阳 |
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Description: function [ret,x0,str,ts,xts]=smg(t,x,u,flag)
smg is the M-file description of the SIMULINK system named smg.
The block-diagram can be displayed by typing: smg.
SYS=smg(T,X,U,FLAG) returns depending on FLAG certain
system values given time point, T, current state vector, X,
and input vector, U.
FLAG is used to indicate the type of output to be returned in SYS.
Platform: |
Size: 6144 |
Author:hacen |
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Description: Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI, this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction.
The tar file includes numerous .m scripts, and C code that can be compiled to a .mex function.
You will need to compile the MEX functions - in Matlab try "mex gridlut_mex.c" and "mex calcdcflut_mex.c" These should result in files gridlut_mex.mex??? and calcdcflut_mex.mex??? where ??? depends on your operating system.
Run the function spiralexample.m in Matlab. -Gridding is a method of interpolating data from an arbitrary 2D sampling pattern to a uniform grid. In MRI, this allows rapid image reconstruction. There are numerous publications on MR gridding reconstruction.
The tar file includes numerous .m scripts, and C code that can be compiled to a .mex function.
You will need to compile the MEX functions- in Matlab try "mex gridlut_mex.c" and "mex calcdcflut_mex.c" These should result in files gridlut_mex.mex??? and calcdcflut_mex.mex??? where ??? depends on your operating system.
Run the function spiralexample.m in Matlab. Platform: |
Size: 1469440 |
Author:rizq |
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Description: MATLAB函数调用教程m文件MATLAB m file function call tutorial-MATLAB m file tutorial function call MATLAB m file function call tutorial Platform: |
Size: 302080 |
Author:henke |
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Description: Reads TDMS files into Matlab. See TDMS_exampleFunctionCalls.m to get started.
Advantages:
- supports reading v2 files
- doesn t require the NI DLL, thus it doesn t require 32bit windows
- supports interleaved data
- allows only reading names & properties to get a quick feel for what is in the file
- Since streaming files can get large (many GB), allows only retrieving subsets of data via keep or ignore flags
Doesn t yet support:
- big endian files
Doesn t support:
- files with DAQmx data
- files with unsupported Matlab data types (extended float, etc)
I haven t written very many wrappers to change the output data into more traditional formats. I d appreciate any submissions of wrappers that people make (like my TDMS_dataToGroupChanStruct_v1 & v2). Thanks!
If the function doesn t work for you please let me know.-Reads TDMS files into Matlab. See TDMS_exampleFunctionCalls.m to get started.
Advantages:
- supports reading v2 files
- doesn t require the NI DLL, thus it doesn t require 32bit windows
- supports interleaved data
- allows only reading names & properties to get a quick feel for what is in the file
- Since streaming files can get large (many GB), allows only retrieving subsets of data via keep or ignore flags
Doesn t yet support:
- big endian files
Doesn t support:
- files with DAQmx data
- files with unsupported Matlab data types (extended float, etc)
I haven t written very many wrappers to change the output data into more traditional formats. I d appreciate any submissions of wrappers that people make (like my TDMS_dataToGroupChanStruct_v1 & v2). Thanks!
If the function doesn t work for you please let me know. Platform: |
Size: 43008 |
Author:Hamlin DSouza |
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Search - function m file matl