• Print
• .

DTACQ-ACQ435

Discussion

General Information

Files on server

General folder is http://www.satlab.hawaii.edu/work/lera/dtacq_testing ; contains scripts for analysis and plotting, plus raw data.

Folder for figures is http://www.satlab.hawaii.edu/work/lera/dtacq_testing/figures ;

Folder for analysed data is http://www.satlab.hawaii.edu/work/lera/dtacq_testing/analysis .

File information

Plot information

type_data_plot#

1. type: psd is power spectral density; psd_comp is comparison of psd with (red) and without (black) 2**23 sine wave added in; hist is histogram
2. data: 164 for acq164 data; @@100@1@ for data from file acq1001
3. plot#: each contains 4 and are in order of channels

exception: hist_full_# is histogram of all data/all channels for data file #, plus channel mean/std plot

• The red in the comparison psd plots is from the ~70Hz sine wave with +-2**23 range that was added to the data. The black is the normal psd at the same scale.
• PSD y-axis is in dB (for comparing peak strength only; no reference value used).

Data

• Data is 43.5 kHz, and I used 8293000 samples per "analysis" file.
• The sine waves that were added to the raw data to make comparison psd have a frequency of very nearly 100*sqrt(2)/2 (slight shift of ~0.002 Hz to make full number of wavelengths fit in the samples).

raw data: acq164_125-bigrawfile (no file extension) and acq1001_153_bigraw.dat

analysed data: bigraw_test_164.mat, for example

Error in old plots

I forgot about the fact that the dtacq is 24 bits padded to 32, so there is an error in the first round of plots (found at http://www.satlab.hawaii.edu/work/lera/dtacq_testing/figures_8bitwrong) Discussion about these plots is below.

Lindsey (16 Feb 2017)

I used 8293000 samples from each data set, which is about 190 seconds. Aside from the number of channels in each, everything I did is the same with both.

Plots marked

    164 are from ACQ164
    1001 are from ACQ435 (the 1001 comes from the file name of the data)
    psd# are power spectral density of 8 channels. All of these have the same y-scale. I know you said no need to do all channels, but it didn't actually take that long and some are very different than others.
    hist# are histograms of individual channels, demeaned first.
    hist is a histogram of all data in all channels - basically summing the bins of all the hist# plots from one data set; the lower plot is the mean plus/minus std for each channel (just convincing myself I didn't mix data from different channels)