# Chris Turnes

Last seen: 1 giorno fa Attivo dal 2014

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Unrecognized function or variable 'nufft' in matlab R2019b
The nufft and nufftn functions were added in R2020a, so if you want to use these functions you would need to update to a later r...

oltre 2 anni fa | 0

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Seasonal variability of the long term data
The new trenddecomp function may give you what you're looking for.

oltre 2 anni fa | 0

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how to deconvolute a array ?
Deconvolution is equivalent to polynomial division. You can get the polynomial division and its remainder with the deconv funct...

oltre 2 anni fa | 1

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Need (Basic) Help Using nufftn for Complex-Valued Scalar Function of 2 Variables
If Is and Js are the coordinates of your non-uniform data, and both Is and Js have N = numel(Vs) elements, then probably what yo...

oltre 2 anni fa | 0

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Can we have a very simple and clear comparison example on the functions fft and nufft works?
The key thing to remember is that since nufft takes the sample points and frequency points as arguments, you have to remember ho...

oltre 2 anni fa | 1

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nufft and aliasing errors
What you are observing here is the effects of non-uniform sampling; the further you get from uniform sampling, the less you can ...

oltre 3 anni fa | 0

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How to use nufft or nufftn to compute NonUniformFFT of an image with missing (not sampled) pixels?
I'm not sure what format your data is in; however, for the purposes of showing how you might do this, suppose you had a list of ...

oltre 3 anni fa | 0

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Nufftn yields only zeros for nonuniform grid. Bug?
Yes, this appears to be a bug. Please open a case with technical support.

circa 4 anni fa | 0

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when smoothing data with gaussian how to define sd and mean
The 'gaussian' method for smoothdata uses a fixed (but window-dependent) standard deviation, and mean of zero. If you want to s...

quasi 5 anni fa | 1

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Moving Average of Matrix over 10 min interval
The error message could be clearer about the problem you're having, but you're getting the message because you've misspelled "Sa...

quasi 5 anni fa | 0

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find local maxima around a point
If you can provide a MAT file with the data, it would be helpful in answering the question more concretely. You should be able ...

circa 5 anni fa | 0

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Cut a signal into heart cycle pieces
I don't have your data, but using something that looks roughly similar (attached), here's an approach. Furthering John's commen...

oltre 5 anni fa | 1

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How do I identify subsets of data and divide the data into the subsets
Mark's answer is a great way of doing this. In addition, you might consider looking at the ischange function: % Look for at mo...

oltre 5 anni fa | 0

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How does "smoothdata" function using "gaussian" method define the standard deviation for different window size?
The standard deviation of the Gaussian for |smoothdata| is fixed to be 1/5th of the total window width, so there is a direct lin...

quasi 6 anni fa | 3

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How to make a softer plot using a moving average every ''x'' skips?
It sounds like what you might want to do is put your data into a <https://www.mathworks.com/help/matlab/ref/timetable.html |time...

circa 6 anni fa | 0

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Using smoothdata on tallaray that contains time
|smoothdata| does not support tall timetables, and similarly does not support the |'SamplePoints'| Name-Value pair for tall inpu...

oltre 6 anni fa | 0

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how to find and mark the value of local minimums in a graph of multiple data ?
If you have access to R2017b, you might also consider checking out the <https://www.mathworks.com/help/matlab/ref/islocalmin.htm...

oltre 6 anni fa | 0

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Find sudden jumps in signal
If you have access to R2017b, try taking a look at the <https://www.mathworks.com/help/matlab/ref/ischange.html |ischange| funct...

oltre 6 anni fa | 0

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Data segmentation for Accelerometer time series data
For the segmentation, if you have R2017b, <https://www.mathworks.com/help/matlab/ref/ischange.html the new |ischange| function> ...

oltre 6 anni fa | 0

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How to write a circulant matrix , where the elements are matrices? Thanks!
Supposing the matrices you want to use in a circulant pattern are stored as a |M| x |N| x |K| array (where |M| x |N| is the size...

circa 7 anni fa | 0

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Sorting the complex array elements with imaginary part along with it.
If you have a recent version of MATLAB, try checking out the <https://www.mathworks.com/help/matlab/ref/sort.html#namevaluepaira...

circa 7 anni fa | 2

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Efficient moving average of scattered data
If you can upgrade to R2017a, this functionality can now be achieved through the 'SamplePoints' name-value pair in the moving st...

oltre 7 anni fa | 1

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Delete rows with NaN records
Not that this question needed another answer, but, you can also check out the <http://www.mathworks.com/help/matlab/ref/rmmissin...

oltre 7 anni fa | 5

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How to replace a NaN element with an preceeding element in a matrix using logical indexing?
As far as replacing with the previous non-NaN element, you could check out the <http://www.mathworks.com/help/matlab/ref/fillmis...

oltre 7 anni fa | 0

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How to use "movsum()" with panel data in a table using loop mechanisms?
I think you just want to use |sum| here, and not |movsum|, since you're summing over different columns each time. Regardless, t...

oltre 7 anni fa | 1

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How to calculate Sums in a Panel Data framework using "For Loops"
To get the moving sum of the previous 12 elements, and marking all windows NaN where you don't have 11 previous points, you can ...

oltre 7 anni fa | 0

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Convolution of many vectors
You can use a fun trick here. Each of these polynomials is a quadratic, so you can find their roots easily enough: F = F(:...

oltre 7 anni fa | 0

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How to exclude the center/current number when performing movmax?
There's no direct way to exclude the current point in a given window with the moving statistics functions. However, since you w...

oltre 7 anni fa | 2

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Help on calculating cumulative moving average
If you're trying to do a cumulative moving mean, where each time you move to the next element it is the mean of that element and...

oltre 7 anni fa | 2

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mean value of a group of data with NaNs
You can also just use the 'omitnan' option in "mean": A = [1 0 0 1 NaN 1 NaN 0]; M = mean(A,'omitnan') M = 0.5...

quasi 8 anni fa | 2