ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing
DOI: 10.1109/icassp.1986.1168985
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Adaptive postfiltering of 16 kb/s-ADPCM speech

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Cited by 18 publications
(5 citation statements)
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“…Spatial redundancy: Spatial decorrelation methods, like prediction or transformation [11], are usually employed to remove spatial redundancy. Prediction-based techniques: are used to predict the current pixel value from neighboring pixels, such as the Differential Pulse Code Modulation (DPCM) [12]. Transformation-based techniques: are used to transform an image from the spatial domain to either frequency or wavelet domains, mainly such as the Discrete Cosine Transform (DCT) [13] or the Discrete Wavelet Transform (DWT) [14].…”
Section: Types Of Redundancymentioning
confidence: 99%
“…Spatial redundancy: Spatial decorrelation methods, like prediction or transformation [11], are usually employed to remove spatial redundancy. Prediction-based techniques: are used to predict the current pixel value from neighboring pixels, such as the Differential Pulse Code Modulation (DPCM) [12]. Transformation-based techniques: are used to transform an image from the spatial domain to either frequency or wavelet domains, mainly such as the Discrete Cosine Transform (DCT) [13] or the Discrete Wavelet Transform (DWT) [14].…”
Section: Types Of Redundancymentioning
confidence: 99%
“…The idea of the adaptive postfilter based on the LP synthesis filter and used to reduce the perceptible noise was first introduced in Ref. 25. The adaptive postfilter is an additional linear filter that is combined with the synthesis filter to accomplish this.…”
Section: More Uses For Perceptual Maskingmentioning
confidence: 99%
“…On the other hand, the postfiltering operation introduces distortion in the speech signal to sorne degree [113]. In this coder, the filter paramcters and the codebook entries are selected by minimizing a noise-weighted mean square error and/or using noise shaping filters.…”
Section: Perceptual Noise Weightingmentioning
confidence: 99%