Algorithm for the Complex Discrete Cosine Transform

O. Popov, T. V. Chernysheva, K. V. Orlov, P. Sapronov
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引用次数: 2

Abstract

The main way to represent an audio signal in the frequency domain is the fast Fourier transform (FFT). When analyzing short signal sequences, the FFT often cannot provide the necessary resolution and accuracy in the formation of estimates of the amplitude and phase of the coefficients. The discrete cosine transform (DCT) is known and widely used, the coefficients of which are placed twice as often on the frequency scale. The disadvantage of DCT is the dependence of the estimate on the initial phase position of the signal; nevertheless, DCT is widely used to eliminate the statistical redundancy of signals. An algorithm for complex DCT is proposed that provides an increase in the resolution and accuracy of the estimate.
复离散余弦变换的算法
在频域中表示音频信号的主要方法是快速傅里叶变换(FFT)。在分析短信号序列时,FFT往往不能提供必要的分辨率和精度,以形成估计的幅度和相位的系数。离散余弦变换(DCT)是已知和广泛使用的,其系数在频率尺度上的频率是原来的两倍。DCT的缺点是估计依赖于信号的初始相位位置;然而,DCT被广泛用于消除信号的统计冗余。提出了一种用于复杂DCT的算法,提高了估计的分辨率和精度。
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