[jira] [Created] (SPARK-8471) Implement Discrete Cosine Transform feature transformer

["Feynman Liang (JIRA)" <ji...@apache.org>]

Feynman Liang created SPARK-8471:
------------------------------------

             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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org