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License: MIT License
This is a library to perform general signal processing in Java.
License: MIT License
Initial setup of testing included the build jar to CLASSPATH to get access to the functionality for testing. Also had issues with structuring as Junit Test. It's current implementation is just a function that runs through some comparison based on numpy's convolve function.
Maximize efficiency of various ratios of input rate and output rate.
When TableFrame specifies data format. The process of saving the entries to file, clearing the table and loading from CSV fails. I think it may be related to the first row being the data column names (all strings) so it will fail. The other issue is that loading the CSV may actually be adding more data frames rather than say the file matches the current table...and just inserting observations.
The filter object allows for desigining a filter and applying it on a signal.
Currently it does not store the state of the buffer and thus does not support streaming application of the filter.
If comparing to scipy.signal.lfilter, this would be equivalent to storing the zi and updating zf to the internal state of the object.
Update spectrogramFrame to use the raw file reader.
Cascade Integrate and Comb interpolate/decimator
Wikipedia [Link](https://en.wikipedia.org/wiki/Cascaded_integrator%E2%80%93comb_filter#:~:text=In%20digital%20signal%20processing%2C%20a,with%20an%20interpolator%20or%20decimator.&text=An%20interpolating%20CIC%20is%20simply,stuffer%20(up%2Dsampler).
Figure out how to:
Data object was originally setup to allow reading data from CSV files, allowing for various data type per feature. This is really slow when applied to loading raw data from file. It is noticeable in running SpectrogramFrame.
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