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General Sub-Band DCT: Fast Approximate Adaptive Algorithm

机译:一般子带DCT:快速近似自适应算法

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The discrete cosine transform (DCT) has a variety of applications in image and speech coding [1, 2]. The idea of the approximate subband DFT (SB-DFT) [3, 4] is applied in [5] and [6] to the DCT. In this paper the basic idea of the subband DCT (SB-DCT) is reviewed. The calculation of the approximate SB-DCT is done with the aid of a fast cosine-transform method [7]. The subband DCT is generalized such that any band out of M subbands can be calculated. For this purpose the fast DCT method [7] is modified to calculate the fast DST. A general analysis of the errors due to the approximation is presented. The adaptive capability of the SB-DFT given in [8] is added to the SB-DCT to calculate adaptively the band of the dominant energy. The two-dimensional (2-D) SB-DCT is also investigated in this work. Applications of the general adaptive SB-DCT in speech cepstrum analysis and in echo detection are included.
机译:离散余弦变换(DCT)在图像和语音编码中具有各种应用[1,2]。近似子带DFT(SB-DFT)[3,4]的思想在[5]和[6]中应用于DCT。在本文中,综述了子带DCT(SB-DCT)的基本思想。借助于快速余弦变换方法进行近似SB-DCT的计算[7]。子带DCT是概括的,使得可以计算M子带中的任何频带。为此目的,快速DCT方法[7]被修改以计算快速DST。提出了由于近似引起的误差的一般分析。在[8]中给出的SB-DFT的自适应能力被添加到SB-DCT中,以自适应地计算显性能量的带。在这项工作中还研究了二维(2-D)SB-DCT。包括一般适应性SB-DCT在语音克拉姆分析中和回声检测中的应用。

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