Feynman Liang created SPARK-8471:
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Summary: Implement Discrete Cosine Transform feature transformer
Key: SPARK-8471
URL: https://issues.apache.org/jira/browse/SPARK-8471
Project: Spark
Issue Type: New Feature
Components: ML
Reporter: Feynman Liang
Priority: Minor
Discrete cosine transform (DCT) is an invertible matrix transformation commonly
used to analyze signals (e.g. audio, images, video) in the frequency domain. In
contrast to the FFT, the DCT maps real vectors to real vectors. The DCT is
oftentimes used to provide an alternative feature representation (e.g.
spectrogram representations of audio and video) useful for classification and
frequency-domain analysis.
Ideally, an implementation of the DCT should allow both forward and inverse
transforms. It should also work for any numeric datatype and 1,2, or 3
dimensional data.
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