In this paper we describe the performance of stochastic coders when the short-term filter parameters are quantized using direct vector quantization and vector ...
In this paper we describe the performance of stochastic coders when the short-term filter parameters are quantized using direct vector quantization and vector ...
The results indicate that good performance can be achieved with relatively small codebooks for the quantizers and that predictive coding with eigenvector ...
Dec 17, 2020 · Computational spectroscopic instruments with Broadband Encoding Stochastic (BEST) filters allow the reconstruction of the spectrum at high ...
Missing: coders. | Show results with:coders.
Jan 27, 2021 · A BEST-filter-based spectral camera presents a higher reconstruction accuracy with up to 30 times enhancement and a better tolerance to fabrication errors.
Oct 24, 2018 · In the spring of 2018, I worked on an encoding and decoding project for a course about machine learning in Python.
We describe a new stochastic model for generating speech signals suitable for coding at low bit rates.
In this work we explore encoding strategies learned by statistical models of sensory coding in noisy spiking networks.
Optimizing LPC filter parameters for multi-pulse excitation · S. SinghalB ... On encoding filter parameters for stochastic coders · S. Singhal. Computer ...
Mar 24, 2021 · Action-effect predictions can boost stochastic regularity-based predictions and engage higher-order deviance detection processes.