ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing
DOI: 10.1109/icassp.1984.1172422
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An algebraic approach to discrete short-time Fourier transform analysis and synthesis

Abstract: An algebraic representation of the discrete shorttime Fourier transform (DSTFT) is presented for the case in which the analysis window length N equals the transform block size N. This representation allows the apphcation of algebraic tools for determining an optimal synthesis system which minimizes the mean square error between a given modified DSTFT (which is not necessarily a valid DSTFT sequence) and the DSTFT of the syn-

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Cited by 12 publications
(4 citation statements)
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References 9 publications
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“…For an irregular scanning locus, it may not be trivial to estimate accurately its derivative. For example, in our x-ray microtomographic study, the scanning locus is subject to random interferences introduced by the mechanical rotation of the specimen stage [11]- [13]. As a result, a precise estimation of the derivative of the scanning locus is particularly difficult.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…For an irregular scanning locus, it may not be trivial to estimate accurately its derivative. For example, in our x-ray microtomographic study, the scanning locus is subject to random interferences introduced by the mechanical rotation of the specimen stage [11]- [13]. As a result, a precise estimation of the derivative of the scanning locus is particularly difficult.…”
Section: Discussionmentioning
confidence: 99%
“…As a result, a precise estimation of the derivative of the scanning locus is particularly difficult. On the other hand, the practical scanning locus used in x-ray microtomography can be made to meet our three conditions [11]- [13]. Without using the derivative of the scanning locus, the proposed formula will not be affected by the error in estimating the derivative.…”
Section: Discussionmentioning
confidence: 99%
“…However, Shpiro and Malah [6] showed that those definitions can be extended to the discrete Fourier transform. Therefore, we present definitions of the reconstruction techniques here that are based on the discrete STFT.…”
Section: Signal Reconstructionmentioning
confidence: 99%
“…Griffin and Lim [3] and Shpiro and Malah [6] show that the following signal reconstruction from the MSTFT minimizes the distance measure [ ( ), …”
Section: Signal Reconstructionmentioning
confidence: 99%