Apply only if you have previous experience with Signal processing using JAVA
I have create Machine learning algortihm XGboost which uses signal data. I have converted this python code into C which can be integrated in Android using JNI
For building machine learning mode, it requires feature extraction, where it does some signa processing task, Python code is available with me for this.
This signal processing is basically using some library function. I want to convert this python code into JAVA. You can use any signal processing library in JAVA which does it.
Once you do feature extraction from signal using those library, You need to use this features with C model code using JNI. So that I can test it in mobile device.
1. Convert python signal features extraction code into JAVA code
2. Integrate feature extraction code in existing C program using JNI
3. Run integrated code in mobile device(Android) and get similar result as we are getting using Python