Carl Bauer (@heycosmo)
I don't think it will be that important if the difference in variance is as consistently dramatic as shown in your example. If you want to detect differences in...
This is basically edge detection. For every sample index n, look at(variance from n-L to n) / (variance from n to n+L)Assuming your samples are independent and normally...
Thank you for this detailed breakdown. That Microchip 5071A stability...whoa.Doesn't the PSD of the transmitted signal keep increasing the longer the transmitter...
Suppose I want to send a single bit (like an SOS) from some remote location using a low-power RF transmitter. The transmitter emits a pure tone at some frequency,...
OP seemed to prioritize undersampling. My solution does not sample at the correct rate, it undersamples (by a possibly large factor). You can undersample if you...
You can try the Sparse Fourier Transform.https://en.wikipedia.org/wiki/Sparse_Fourier_trans...https://groups.csail.mit.edu/netmit/sFFT/For a single sinusoid as in...
I am keeping my implementation private while I look for commercialization opportunities, but I hope to open-source it later whether I'm successful or not. I will...
Interesting, thanks for sharing. I am curious, is there some reason I don't see larger FFTs used in RF communication?For example, it seems like encoding data in...
I've been looking into predictive maintenance, where accelerometers listen for e.g. bearing wear on various spinning machinery. It seems like a good application:...
Thanks! sin and cos are often implemented on a computer with polynomial approximations (to machine precision). The LFT is closely related to this approach.
This is in fact how the LFT came to be. I was using it to generate STFTs of many different power-of-2 window lengths (from property 6.) to find the best sparse approximations...
Preamble and NBIoT are interesting. Does "flooded with registers" mean your FPGA wasn't big enough to hold all the accumulators/mixers?I ran a test on 48 bins from...
50% is still a large fraction of the output. The LFT becomes helpful when you want to keep < 10% of the output (smaller the better). I think in your case computing...
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