Anyone could explain me why we need mean median and mode in statistic?
How to know which data is in good mean median and mode?
Thank you for help
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I am currently using pytesseract image_to_data to compute the average confidence level of the strings. However, I am interested to know the theory behind it. What kind of algorithm is involved in such computation? Could anyone enlighten me?
I have data obtained from different patient groups (biosignals from which I want to obtain the power value). I want to have the overall standard deviation and mean for ALL the patients. So I suppose what I am looking for is the pooled versions obtained from the individual standard deviations and means.
This is a lot of data in table format.
I was trying to avoid to develop code for this.
Matlab command grpstats seems quite good but apparently only deal with group standard deviation and mean. I am correct?
ttest2.m seems to deal only with pooled std.
Any help about this?
Many thanks in advance!
this is one of sounds features and it has been used in some AI voice app.
"The periodicity property of each sub-band is represented by the maximum
local peak of the normalized correlation function."
I can't understand the way to calculate it, any help will be appreciated
any law to find "normalized correlation" and "maximum local peak" .
in my law i cant understand what "s(n)" value.
I need a "s(n)" explanation so i can build a function using matlab , or a clearer law..
please if u don't have an idea about band periodicity don't try to searcher about it,there is nothing on the internet!
s(n) is just the sample at index n of the signal after bandpass filtering.
I really need to calculate some cumulative probability of the chi2 (degree of freedom 1000)distribution. I know there is this function chi2cdf(x,n) in the corresponding statistics Toolbox in Matlab. However I don't have this specific Toolbox, can anyone help me with that??
It would be great if you can help me with that! Thanks !!
You can look at this submission from the File Exchange which seems to do what you are looking for.
Hi folks I got stuck trying to find the intensity of sound signal. I searched a lot but didn't get any good answers or help. I will be very thankful if anyone could guide me about this.
Thanks in advance
You can just calculate the RMS value of the signal, e.g. if your samples are in X:
intensity_RMS = sqrt(sum(X.*X)/length(X));