5,837 research outputs found
Channel polarization: A method for constructing capacity-achieving codes for symmetric binary-input memoryless channels
A method is proposed, called channel polarization, to construct code
sequences that achieve the symmetric capacity of any given binary-input
discrete memoryless channel (B-DMC) . The symmetric capacity is the highest
rate achievable subject to using the input letters of the channel with equal
probability. Channel polarization refers to the fact that it is possible to
synthesize, out of independent copies of a given B-DMC , a second set of
binary-input channels such that, as becomes
large, the fraction of indices for which is near 1
approaches and the fraction for which is near 0
approaches . The polarized channels are
well-conditioned for channel coding: one need only send data at rate 1 through
those with capacity near 1 and at rate 0 through the remaining. Codes
constructed on the basis of this idea are called polar codes. The paper proves
that, given any B-DMC with and any target rate , there
exists a sequence of polar codes such that
has block-length , rate , and probability of
block error under successive cancellation decoding bounded as P_{e}(N,R) \le
\bigoh(N^{-\frac14}) independently of the code rate. This performance is
achievable by encoders and decoders with complexity for each.Comment: The version which appears in the IEEE Transactions on Information
Theory, July 200
Masking of errors in transmission of VAPC-coded speech
A subjective evaluation is provided of the bit error sensitivity of the message elements of a Vector Adaptive Predictive (VAPC) speech coder, along with an indication of the amenability of these elements to a popular error masking strategy (cross frame hold over). As expected, a wide range of bit error sensitivity was observed. The most sensitive message components were the short term spectral information and the most significant bits of the pitch and gain indices. The cross frame hold over strategy was found to be useful for pitch and gain information, but it was not beneficial for the spectral information unless severe corruption had occurred
Speech rhythms and multiplexed oscillatory sensory coding in the human brain
Cortical oscillations are likely candidates for segmentation and coding of continuous speech. Here, we monitored continuous speech processing with magnetoencephalography (MEG) to unravel the principles of speech segmentation and coding. We demonstrate that speech entrains the phase of low-frequency (delta, theta) and the amplitude of high-frequency (gamma) oscillations in the auditory cortex. Phase entrainment is stronger in the right and amplitude entrainment is stronger in the left auditory cortex. Furthermore, edges in the speech envelope phase reset auditory cortex oscillations thereby enhancing their entrainment to speech. This mechanism adapts to the changing physical features of the speech envelope and enables efficient, stimulus-specific speech sampling. Finally, we show that within the auditory cortex, coupling between delta, theta, and gamma oscillations increases following speech edges. Importantly, all couplings (i.e., brain-speech and also within the cortex) attenuate for backward-presented speech, suggesting top-down control. We conclude that segmentation and coding of speech relies on a nested hierarchy of entrained cortical oscillations
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