Currently I simulate the noise applied at the elements (hydrophones) of the array as normally distributed noise with a mean of zero and standard deviation of 1. For example in matlab if I have 10 elements (hydrophones) with a sampling rate of 1K the data coming from the array would be...
Sorry about not providing some more background. Yes this is in regards to acoustics and I'm looking at the behaviour of some system composed of hydrophones when stimulated with isotropic versus normally distributed noise.
Anyone know how or have experience with generating isotropic noise? I've used normally distributed noise but I can't seem to turn up any material on isotropic. Thanks.
I need a weighted linear regression performed on some data and polyfit doesn't provide weighted linear regression functionality. Does anyone know how to code this in matlab and if so provide the code or some hints as to how?
I'm having trouble finding out what these terms mean in the context of spatial spectrum estimation and broad band beamformers. I haven't been able to turn up any material on either, any ideas?
I see what you're saying in regards to finding a closed form function and that may be my problem, I'm looking for something that doesn't exist. :(
You seem to be right again that SNR is independent of the detection method, detection threshold and ROC plot and this makes sense seeing that two...
Well this would require some sort of spectral analysis on that data so you can pick out the harmonic of the gearbox, which may or may not be composed of several sub-harmonics. You could run the data through an FFT and plot it. Try looking through the matlab docs at FFT for examples on how to...
So are you running this on recorded data or are you trying to run this while you acquire the signal data? If you are running this on recorded data I don't know of any other averaging algorithm other than that. On a decent machine running matlab that should take a few seconds on recorded data...
This does work for plotting exponential functions on log-log plots, the idea is basically the same except I'm working with integrals of chi squared probability density functions.
This website shows ROC plots for normal or Guassian distributions:
http://www.anaesthetist.com/mnm/stats/roc/Findex.htm
This is not for a course and I am fully aware of of the guidelines for posting on this forum. I have read through many posts in this forum, mainly in electronics and circuit engineering (which is where most of my experience has been), however I have recently been involved in the field...
I'm trying to discern the SNR (in dB) from a set of ROC curves. I have noise and signal plus noise pdf's from which I generate a series or ROC curves and from this ROC plot I want to reformat the x (probability of false alarm) and y (probability of detection) axis so that the ROC curves...
