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Synaptic high-frequency jumping synchronises vision to high-speed behaviour
Mansour N +20 more
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WIREs Cognitive Science, 2011
AbstractPredictive coding is a unifying framework for understanding redundancy reduction and efficient coding in the nervous system. By transmitting only the unpredicted portions of an incoming sensory signal, predictive coding allows the nervous system to reduce redundancy and make full use of the limited dynamic range of neurons.
Yanping, Huang, Rajesh P N, Rao
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AbstractPredictive coding is a unifying framework for understanding redundancy reduction and efficient coding in the nervous system. By transmitting only the unpredicted portions of an incoming sensory signal, predictive coding allows the nervous system to reduce redundancy and make full use of the limited dynamic range of neurons.
Yanping, Huang, Rajesh P N, Rao
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Interweaved Prediction for Video Coding
IEEE Transactions on Image Processing, 2020In the emerging next generation video coding standard Versatile Video Coding (VVC) developed by the Joint Video Exploration Team (JVET), sub-block-based inter-prediction plays a key role in promising coding tools such as Affine Motion Compensation (AMC) and sub-block-based Temporal Motion Vector Prediction (sbTMVP).
Kai Zhang +5 more
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IEEE Transactions on Information Theory, 1955
In Part I predictive coding was defined and messages, prediction, entropy, and ideal coding were discussed. In the present paper the criterion to be used for predictors for the purpose of predictive coding is defined: that predictor is optimum in the information theory (IT) sense which minimizes the entropy of the average error-term distribution ...
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In Part I predictive coding was defined and messages, prediction, entropy, and ideal coding were discussed. In the present paper the criterion to be used for predictors for the purpose of predictive coding is defined: that predictor is optimum in the information theory (IT) sense which minimizes the entropy of the average error-term distribution ...
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Adaptive code excited predictive coding
IEEE Transactions on Signal Processing, 1992A novel way to use the code excited linear prediction (CELP) concept that decreases the processing load while keeping the same speech quality is discussed. Rather than performing individual weighting of each candidate sequence, a global implementation of the perceptual weighting function at the codebook level is proposed.
C.R. Galand, J.E. Menez, M.M. Rosso
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Proceedings of 1994 37th Midwest Symposium on Circuits and Systems, 2002
This paper describes the first stage of a two stage lossless data compression algorithm. The first stage consists of a lossless adaptive predictor. The term lossless implies that the original data can be recovered exactly. The second stage employs arithmetic coding. Results are presented for a seismic data base.
J.W. McCoy, N. Magotra, S. Stearns
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This paper describes the first stage of a two stage lossless data compression algorithm. The first stage consists of a lossless adaptive predictor. The term lossless implies that the original data can be recovered exactly. The second stage employs arithmetic coding. Results are presented for a seismic data base.
J.W. McCoy, N. Magotra, S. Stearns
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Proceedings of the 33rd Midwest Symposium on Circuits and Systems, 2002
A new form of predictive quantization, dubbed quantized predictive coding (QPC), is presented. One version uses variable-length coding and another uses fixed-length coding. For autoregressive sources, it is shown both analytically and experimentally that the performance of QPC with (without) entropy-coding is, essentially, the same as that of DPCM ...
D.H. Lee, D.L. Neuhoff
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A new form of predictive quantization, dubbed quantized predictive coding (QPC), is presented. One version uses variable-length coding and another uses fixed-length coding. For autoregressive sources, it is shown both analytically and experimentally that the performance of QPC with (without) entropy-coding is, essentially, the same as that of DPCM ...
D.H. Lee, D.L. Neuhoff
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SPEECH CODING WITH LINEAR PREDICTIVE CODING
Mechanical and Electronics Engineering, 2009Speech coding has been and still is a major issue in the area of digital speech processing in which speech compression is needed for storing digital voice and it requires fixed amount of available memory and compression makes it possible to store longer messages.
G. CHENCHAMMA +2 more
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IEEE Potentials, 1988
The basic principles of linear predictive coding (LPC) are presented. Least-squares methods for obtaining the LPC coefficients characterizing the all-pole filter are described. Computational factors, instantaneous updating, and spectral estimation are discussed. >
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The basic principles of linear predictive coding (LPC) are presented. Least-squares methods for obtaining the LPC coefficients characterizing the all-pole filter are described. Computational factors, instantaneous updating, and spectral estimation are discussed. >
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1984
If one approximates the vocal tract as a series of fixed length tubes (which is equivalent to representing it as an all-pole digital filter) it becomes possible to predict successive samples of the speech wave as linear combinations of previous samples. The coefficients in the linear combination characterize the shape of the vocal tract.
Alan Bundy, Lincoln Wallen
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If one approximates the vocal tract as a series of fixed length tubes (which is equivalent to representing it as an all-pole digital filter) it becomes possible to predict successive samples of the speech wave as linear combinations of previous samples. The coefficients in the linear combination characterize the shape of the vocal tract.
Alan Bundy, Lincoln Wallen
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