Results 241 to 250 of about 240,630 (269)

Trellis code excited linear prediction (TCELP) speech coding

1999 IEEE Workshop on Speech Coding Proceedings. Model, Coders, and Error Criteria (Cat. No.99EX351), 2003
This paper describes using the trellis-based scalar-vector quantizer for sources with memory to solve the excitation codebook search problem of code excited linear prediction (CELP) speech coders. This approach leads to a 24 kbit/s telephony-bandwidth low-delay (3 msec) trellis CELP coder, which outperforms both ITU-T 15 kbit/s G.728 LD-CELP and G.726 ...
null Cheng-Chieh Lee, Y. Shoham
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Code excited linear predictive vocoder

The Journal of the Acoustical Society of America, 1992
Apparatus for encoding speech using a code excited linear predictive (CELP) encoder using a recursive computational unit. In response to a target excitation vector that models a present frame of speech, the computational unit utilizes a finite impulse response linear predictive coding (LPC) filter and an overlapping codebook to determine a candidate ...
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Adaptive linear prediction lossless image coding

Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096), 1999
The practical lossless digital image compressors that achieve the best results in terms of compression ratio are also simple and fast algorithms with low complexity both in terms of memory usage and running time. Surprisingly, the compression ratio achieved by these systems cannot be substantially improved even by using image-by-image optimization ...
Motta, Giovanni, Storer, James A., CARPENTIERI, Bruno   +2 more
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Linear predictive speech coding arrangement

The Journal of the Acoustical Society of America, 1990
A speech analyzer is adapted to produce speech parameter signals from a Pth order autocorrelation analysis of a speech pattern in a digital signal processor. The analyzer includes a plurality of memories of predetermined arrangement to store feature vector signals used in the analysis, a single set of coded signals for controlling the analysis, and a ...
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Linear predictive coding for sonar data

2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017
Sonar is commonly used in the underwater environment for navigation and obstacle detection. The large volume of data, generated by an array of acoustical sensors, has to be transmitted and stored, giving a great motivation for applying compression methods.
Vladimir Burstein, Werner Henkel
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Spike code-excited linear prediction

The Journal of the Acoustical Society of America, 1998
A conventional CELP speech codec synthesizes a pitch interval in a sound by synthesizing a scaled innovation signal--typically, a random signal--and adding it to a scaled pitch signal derived from the synthesized speech of the previous pitch interval.
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Pyramid linear prediction coding for images

Journal of Shanghai University (English Edition), 1997
Motivated by wavelet transform, this paper presents a pyramid linear prediction coding (PLPC) algorithm for digitial images. The algorithm outputs the rough contour of an image and a prediction error sequence. In contrast to the conventional linear prediction method, PLPC exhibits very little sensitivity to channel errors and provides a more efficient ...
Guangjin Zhu, Fengguang Zhao, Feng Jiang
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Linear prediction image coding using iterated function systems

Image and Vision Computing, 1999
Abstract This paper presents a hybrid system to speed up image fractal encoding. The coding scheme, LP–IFS, consists of linear prediction (LP) and Iterated Functions Systems (IFS) applied in cascade on the image. The LP process employs a 2D auto-regressive model to estimate parameters for each block in the image partition; IFS are then used instead ...
NAPPI, Michele, D. VITULANO
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Multiband code-excited linear prediction (MBCELP) for speech coding

Signal Processing, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yang, Gao, Leich, H., Boite, R.
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Linear Predictive Analysis by Synthesis Coding

1995
The availability of inexpensive signal processing chips and a demand for efficient digital representations of speech signals have led to an increase of applications for speech coding. Some examples are: wired and wireless networks, voice encryption, videophones, simultaneous voice and data transmission, multimedia, announcements, and solid state ...
Peter Kroon, W. Bastiaan Kleijn
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