Now you have to determine where those 16 bits are. So, if your recording device has a 96dB dynamic range, it will only use 16 bits of the 24 bit signal. Keep in mind that every bit of your signal is 6dB, and your device will have a dynamic range that defines how many bits are actually used. )Īny thoughts and suggestions will be greatly appreciated,ĭudelsound has the right concept. (I assume I would be able to perform the 24 bit to 16 bit conversion in Matlab as well. Would I be able to learn anything from this? I can then calculate the power of this signal. I can then read the two files into MATLAB/Python, and subtract the two signals from each other. I thought of taking the 24 bit file and converting it to 16 bits using the Linux SOX command. The other is wind noise, that is generated by the way we deploy - our ethics clearance only allows dipping hydrophones and floating buoys. The main noise source is "shrimp snapping". Is there a way that I can theoretically "estimate" the effective bit resolution? However, I believe that this is an overkill. The H1N can save the file as a 24 bit WAV file. I have managed to record some common dolphin, common bottlenose dolphin and Humpback whale sounds - which I can share if anyone is interested. I used a ZOOM H1N recorder and a Hydrophone ( ) to make the recordings.
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