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Showing 1 to 20 of 906 for “"Decoding"”.

  1. Noise-Centric Decoding

    Maximum Likelihood (ML) decoding of forward error correction codes is known to be optimally accurate, but is not used in practice due to the lack of a feasible implementation. As the common approach in coding theory is a code-centric one, designing a ML decoder is a challenging code-specific task. …

    mit Repository record for Noise-Centric Decoding (opens in a new tab)

  2. GMD Decoding of Euclidean -Space Codes and Iterative Decoding of Turbo Codes

    … and leads to a better understanding of the turbo decoding algorithm. Specifically, a simplified stopping criterion based on the characteristics of the phase trajectories is provided.

    uiuc Repository record for GMD Decoding of Euclidean -Space Codes and Iterative Decoding of Turbo Codes (opens in a new tab)

  3. On Iterative Decoding of Bch Codes and Decoding Beyond the Bch Bound

    Made available in DSpace on 2015-09-25T20:09:50Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 6915412.pdf: 1296238 bytes, checksum: ae9e9bfbda92498eb7733384ab2c9d2a (MD5) Previous issue date: 1969

    uiuc Repository record for On Iterative Decoding of Bch Codes and Decoding Beyond the Bch Bound (opens in a new tab)

  4. On Iterative Decoding of Bch Codes and Decoding Beyond the Bch Bound

    Made available in DSpace on 2015-05-12T21:43:52Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 6915412.PDF: 1820527 bytes, checksum: 9a49271a8d50009362cdb1eb2974e5d2 (MD5) Previous issue date: 1969

    uiuc Repository record for On Iterative Decoding of Bch Codes and Decoding Beyond the Bch Bound (opens in a new tab)

  5. Predictive decoding of neural data

    … single-trial analysis of various neural data by decoding them into variables of interest. Unbiased testing of the decoder on new samples of the data provides a generalization assessment of decoding performance reliability. Through consecutive analysis of the constructed decoder's sensitivity it …

    njit Repository record for Predictive decoding of neural data (opens in a new tab)

  6. A Method of Decoding Speech

    Made available in DSpace on 2014-12-08T22:23:59Z (GMT). No. of bitstreams: 1 6612333.pdf: 3135762 bytes, checksum: 41ecb91630d8fc37172479a05517e655 (MD5) Previous issue date: 1966

    uiuc Repository record for A Method of Decoding Speech (opens in a new tab)

  7. Channel decoding via machine learning

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms

    uiuc Repository record for Channel decoding via machine learning (opens in a new tab)

  8. Local list decoding of homomorphisms

    … by Goldreich and Levin with the seminal work on decoding the Hadamard code. Many of the recent abstractions of their initial algorithm focus on Locally Decodable Codes (LDC's) over finite fields. We derive our algorithmic approach from the list decoding of the Reed-Muller code over finite fields …

    mit Repository record for Local list decoding of homomorphisms (opens in a new tab)

  9. Unreliable and resource-constrained decoding

    … or resource consumption are established. For decoding repetition codes using consensus decoding circuits, the optimal tradeoff between decoding speed and quadratic wiring cost is defined and established. Designing optimal circuits is shown to be NP-complete, but is carried out for small …

    mit Repository record for Unreliable and resource-constrained decoding (opens in a new tab)

  10. Decoding brains by paying attention: An attention-based fMRI task state decoding deep network architecture

    … is to decode task state fMRI data. Task decoding is the process of taking neuroimaging data and determining the task that was performed when that data was collected. A large volume of work used for task decoding is done in pursuit of creating a deep learning model for task prediction. …

    uiuc Repository record for Decoding brains by paying attention: An attention-based fMRI task state decoding deep network architecture (opens in a new tab)

  11. Adaptive Channel Estimation for Turbo Decoding

    A new adaptive filter is proposed for the turbo decoding on Rayleigh fading channels with noisy channel estimates. The extrinsic information generated from the turbo decoder has some priority information about the transmitted data bits, which can help us better understand the channel characters. By …

    windsor Repository record for Adaptive Channel Estimation for Turbo Decoding (opens in a new tab)

  12. The Stone Lab: Decoding Shikahogh Khachkars

    "The Stone lab: Decoding Shikahogh Khachkars" is an MPhil by design, seeking to describe the role of Khachkar in formation of Armenian national identity through studies of the stone masonry and the notion of a territory, which in this case is represented with the Shikahogh village (Figs. 1 and 2). …

    westminster Repository record for The Stone Lab: Decoding Shikahogh Khachkars (opens in a new tab)

  13. DIGITAL PICTURE STORAGE FOR TELETEXT DECODING

    The recent advance in digital memory technology makes it possible to introduce Field Memories in television receivers. This type of memory can store a complete picture which allows a number of new features to be added to a television receiver. Teletext and still Video reception are such features …

    sask Repository record for DIGITAL PICTURE STORAGE FOR TELETEXT DECODING (opens in a new tab)

  14. Decoding visemes: improving machine lip-reading

    … from 11 to 35. The last di�culty we address is decoding from visemes back to phonemes and into words. Traditionally this is completed using a language model. The language model unit is either: the same as the classi�er, e.g. visemes or phonemes; or the language model unit is words. In a novel …

    east-anglia Repository record for Decoding visemes: improving machine lip-reading (opens in a new tab)

  15. Decoding algorithms using side-effect machines

    … machines we hope to be able to provide efficient decoding algorithms for this open problem. Two ideas for decoding algorithms are presented and examined. Both decoders use Side Effect Machines(SEMs) which are generalizations of finite state automata. Single Classifier Machines(SCMs) use a single …

    brock Repository record for Decoding algorithms using side-effect machines (opens in a new tab)

  16. Decoding Lysine-11 Signals in Ubiquitination

    … desired cellular function. These initiation and decoding steps often involve additional post-translational modifications and ubiquitin receptor proteins, but the enzymes and ubiquitin chains involved for many ubiquitinated substrates are not clear. Here, I have explored the initiation and …

    cambridge Repository record for Decoding Lysine-11 Signals in Ubiquitination (opens in a new tab)

  17. Decoding algorithms for continuous phase modulation

    Continuous Phase Modulation (CPM) possesses characteristics that make it very attractive for many applications. Efficient non-linear power amplifiers can be used in the transmitters of constant envelope CPM schemes. CPM also allows for the use of simple limiters in the demodulator rather than …

    cape-town Repository record for Decoding algorithms for continuous phase modulation (opens in a new tab)

  18. Channel state testing in information decoding.

    Massachusetts Institute of Technology. Dept. of Electrical Engineering. Thesis. 1965. Ph.D.

    mit Repository record for Channel state testing in information decoding. (opens in a new tab)

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