离散余弦变换
离散正弦变换
离散哈特利变换
重叠变换
改进的离散余弦变换
离散傅里叶变换(通用)
变换编码
数学
分数阶傅立叶变换
算法
正弦和余弦变换
卡鲁宁-洛夫定理
哈特利变换
傅里叶变换
计算机科学
人工智能
数学分析
图像(数学)
傅里叶分析
作者
N. Ahmed,T. Natarajan,K.R. Rao
标识
DOI:10.1109/t-c.1974.223784
摘要
A discrete cosine transform (DCT) is defined and an algorithm to compute it using the fast Fourier transform is developed. It is shown that the discrete cosine transform can be used in the area of digital processing for the purposes of pattern recognition and Wiener filtering. Its performance is compared with that of a class of orthogonal transforms and is found to compare closely to that of the Karhunen-Loève transform, which is known to be optimal. The performances of the Karhunen-Loève and discrete cosine transforms are also found to compare closely with respect to the rate-distortion criterion.
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