Results 91 to 100 of about 217,546 (313)

Convolutional-Code-Specific CRC Code Design [PDF]

open access: yesarXiv, 2015
Cyclic redundancy check (CRC) codes check if a codeword is correctly received. This paper presents an algorithm to design CRC codes that are optimized for the code-specific error behavior of a specified feedforward convolutional code. The algorithm utilizes two distinct approaches to computing undetected error probability of a CRC code used with a ...
arxiv  

Pressure Induced Molecular‐Arrangement and Charge‐Density Perturbance in Doped Polymer for Intelligent Motion and Vocal Recognitions

open access: yesAdvanced Materials, EarlyView.
The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu   +14 more
wiley   +1 more source

Manipulating the Assembly and Architecture of Fibrillar Silk

open access: yesAdvanced Materials, EarlyView.
In this study, advanced in situ AFM, PiFM, and Cryo‐EM are leveraged to realize in situ observations of nucleation, growth, and degradation of silk nanofibrils. A clear picture of the assembly and structural evolution of regenerated silk nanofibrils is defined and demonstrates a novel strategy for manipulating their structure and properties, which ...
Chenyang Shi   +3 more
wiley   +1 more source

Decoding of Convolutional Codes over the Erasure Channel [PDF]

open access: yesarXiv, 2010
In this paper we study the decoding capabilities of convolutional codes over the erasure channel. Of special interest will be maximum distance profile (MDP) convolutional codes. These are codes which have a maximum possible column distance increase. We show how this strong minimum distance condition of MDP convolutional codes help us to solve error ...
arxiv  

Detection and Manipulation of Interaction Between Magnetic DyPc2 Molecules and Superconducting Pb(111) Surface

open access: yesAdvanced Materials Interfaces, EarlyView.
The research focuses on the interaction between the magnetic DyPc2 molecules and the superconducting Pb(111) surface. A complex quantum spin system is observed in both DyPc2 molecules embedded in the self‐assembled monolayer and those scattered atop it, where Kondo screening and superconducting pairing coexist and compete.
Jie Li   +16 more
wiley   +1 more source

Biological and Mechanical Limitations for Chronic Fast‐Scan Cyclic Voltammetry Sensor Design

open access: yesAdvanced Materials Technologies, EarlyView.
Real‐time detection of neurochemicals has demonstrated value in the field of neuroscience. However, current methods have limitations for use in the chronic setting, which is often the ideal environment for research. This article discusses these limitations, as well as technologies that have been developed to overcome them, and provides recommendations ...
Mason L. Perillo   +6 more
wiley   +1 more source

Convolutional Codes of Goppa Type [PDF]

open access: yesAAECC, 15 (2004), 51-61, 2003
A new kind of Convolutional Codes generalizing Goppa Codes is proposed. This provides a systematic method for constructing convolutional codes with prefixed properties. In particular, examples of Maximum-Distance Separable (MDS) convolutional codes are obtained.
arxiv  

Chemical AI in the Limelight: The Contribution of Photochromic Materials and Oscillatory Chemical Reactions

open access: yesAdvanced Optical Materials, EarlyView.
Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley   +1 more source

On the weight distribution of convolutional codes

open access: yesLinear Algebra and its Applications, 2005
Detailed information about the weight distribution of a convolutional code is given by the adjacency matrix of the state diagram associated with a controller canonical form of the code. We will show that this matrix is an invariant of the code. Moreover, it will be proven that codes with the same adjacency matrix have the same dimension and the same ...
openaire   +3 more sources

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