Results 111 to 120 of about 241 (175)

Optimizing multicompression approaches to elasticity imaging. [PDF]

IEEE Trans Ultrason Ferroelectr Freq Control, 2006
Du H, Liu J, Pellot-Barakat C, Insana MF.   +3 more
europepmc   +1 more source

Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing. [PDF]

Nat Commun
Saddler MR, McDermott JH.
europepmc   +1 more source

Enhanced EEG Forecasting: A Probabilistic Deep Learning Approach

Pankka H, Lehtinen J, Ilmoniemi RJ, Roine T.   +3 more
europepmc   +1 more source

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Spectral quantization by companding

IEEE International Conference on Acoustics Speech and Signal Processing, 2002
Recent advances in spectral coding for speech suggest Gaussian mixture modeling (GMM) as a tool for designing close to optimal, single stage quantizers. This combined with companding techniques promises to give flexible, no-memory methods that are essentially rate universal.
Turaj Zakizadeh Shabestary, Per Hedelin
openaire   +2 more sources

Log-linear companding—A digital companding technique

Proceedings of the IEEE, 1969
A new method of near-logarithmic companding is proposed. The method consists of first uniformly quantizing each sample and then processing the resulting binary number digitally. This is in contrast to the usual scheme of first compressing the input and then uniformly quantizing it. The method presented here is extremely simple to implement and requires
G.G. Apple, P.A. Wintz
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A robust CMOS compander

IEEE Journal of Solid-State Circuits, 1998
A robust CMOS compander circuit meeting all of the requirements for analog cellular telephony and using an improved sigma-delta compander topology is presented. Rather than digitizing and reconstructing the input signal using a sigma-delta modulator as has been done previously, only the amplitude path is digitized while the voice path remains analog ...
David M. Hossack, John I. Sewell
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Digital Companding Techniques

IEEE Transactions on Communications, 1974
This paper deals with the requirements for the design of digital companding techniques in either delta or pulse-code modulation. Both delta and pulse-code modulation convert analogue signals into binary signals and in both these systems the dynamic range is normally small. By the use of companding, the dynamic range can be extended.
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Autoencoder-based Image Companding

2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020
This paper presents a deep learning-based method for effective image companding. The autoencoder inherits the effectiveness of Convolutional Neural Networks (CNN) and residual learning framework to transform High Dynamic Range (HDR) images to Low Dynamic Range (LDR) and its reverse process.
Alim Wicaksono Hari Prayuda, Heri Prasetyo, Jing-Ming Guo   +2 more
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On suboptimal multidimensional companding

Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225), 2002
A vector quantizer (VQ) consisting of a nonlinear mapping (compressor), a lattice VQ, and the inverse of the compressor (expander) is considered. While it was previously pointed out that in dimensions k>2 except for linear transformations and translations only reflections through reciprocal radii can preserve optimality in terms of the lattice cells ...
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Hybrid Companding Delta Modulation

IEEE Transactions on Communications, 1981
We present a reasonably complete account of an improved adaptive delta modulation (ADM) system called hybrid companding delta modulation (HCDM). The HCDM system that is far superior to continuously variable slope DM (CVSD) or constant factor DM (CFDM) is advantageous, particularly for speech coding. It employs both syllabic and instantaneous companding
Chong Kwan Un, Hwang Soo Lee, Joo Seok Song   +2 more
openaire   +1 more source