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https://issues.apache.org/jira/browse/SPARK-8471?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-8471:
-----------------------------------
Assignee: Apache Spark
> 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
> Assignee: Apache Spark
> 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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