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Research has demonstrated some progress in using a clinical examination to predict discogenic or sacroiliac (SI) joint sources of pain.
Compare the acronym U.S.A., which refers to the states as the components of the federation rather than referring to the Senate and the people as the joint sources of its governance.
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From an information theoretic perspective, this can be thought of as performing joint source-channel coding.
This chapter introduces theoretical justifications for joint source-channel coding (JSCC) and identifies certain expectations that one may have regarding JSCC and joint source-channel decoding (JSCD).
Hence, we exercise joint source and channel coding (JSCC) by optimizing the system configuration.
Our HMP model represents the first joint source and sending rate model in adaptive streaming literature.
The joint source and channel coding (JSCC/D) approach has already given promising results in optimizing multimedia transmission.
I also work with collaborators from UC Berkeley and Stanford University to develop novel joint source-channel coding schemes for storing natural image data onto stochastic memory devices.
To formulate this idea, the concept of effective source number (ESN) is proposed in the context of joint source enumeration and DOA estimation.
In this paper, we propose a reduced complexity stochastic joint source-channel coding system developed for efficient and robust coding of wideband speech ISF (Immittance Spectral Frequency) parameters.
To protect implicitly our ISF coders, we developed a stochastic joint source-channel coding system based on a reduced complexity version of the channel optimized SSVQ technique.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com