A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting.
This folder has some scritps that you may find usefull.
All of it comes from questions that I ve received in my email.
If you have a new request/question, feel free to send it to marceloperlin@gmail.com.
But please, don t ask me to do your homework.
Passing_your_param0
This folder contains instructions (and m files) for passing you own initial parameters to the fitting function.
I also included a simple simulation script that will create random initial coefficients
(under the proper bounds) and fit the model to the data.
im2dat.m is used to convert images to data which can be plotted using the standard MATLAB functions. This is very handy if you have plots on hardcopy and you want to convert them into data that MATLAB can use. The scanned image can be analysed by this function and the output will allow you to perform any calculation/manipulations that MATLAB can perform, e.g. curve fitting.
Basic function to locate and measure the positive peaks in a noisy
data sets. Detects peaks by looking for downward zero-crossings
in the smoothed third derivative that exceed SlopeThreshold
and peak amplitudes that exceed AmpThreshold. Determines,
position, height, and approximate width of each peak by least-squares
curve-fitting the log of top part of the peak with a parabola.
最小二乘法曲面擬合,包括C程序及說明文件。對于搞三維重建的有一定幫助-Least squares surface fitting, including the C procedures and documentation. For engaging in three-dimensional reconstruction to some extent help the
