Discrete Cosine Transform: Difference between revisions

Revision as of 07:04, 20 July 2006

The DCT is similar to the Discrete Fourier Transform: It transforms a signal from the time domain into the frequency domain. Just as the fourier transform uses sine and cosine waves to represent a signal, the DCT only uses cosine waves. The DCT I and II, is mostly used in image compression, while MDCT (DCT-IV) is used in audio encoding. The DCT is an invertible, discrete orthogonal transformation.

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	The DCT is similar to the ~~discrete fourier transform~~: It transforms a signal from the [[time domain]] to the [[frequency domain]]. Just as the fourier transform uses sine and cosine waves to represent a signal, the DCT only uses cosine waves. ~~While~~ DCT is mostly used in image compression, [[MDCT]] (~~modified~~ DCT) is used in audio encoding. The DCT is an invertible, discrete orthogonal transformation.		The DCT is similar to the Discrete Fourier Transform: It transforms a signal from the [[time domain]] into the [[frequency domain]]. Just as the fourier transform uses sine and cosine waves to represent a signal, the DCT only uses cosine waves. The DCT I and II, is mostly used in image compression, while [[MDCT]] (DCT-IV) is used in audio encoding. The DCT is an invertible, discrete orthogonal transformation.