Results 111 to 120 of about 13,641 (300)
Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing +10 more
wiley +1 more source
Serial Concatenated Codes Based on Iterative and Non-Iterative Decoding
This paper gives the design and implementation of iterative and non-iterative decoders of serially concatenated block and convolutional coding schemes.
Maha George Zia +1 more
doaj
Novel low-delay scheme for parallel Turbo decoding
In order to decrease decoding delay because of the iterative and recursive computation in MAP class algo-rithms,a novel parallel decoding scheme was proposed.The key of the novel scheme was to design a novel collision-free(CF) interleaver.After the ...
REN De-feng +3 more
doaj +2 more sources
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang +5 more
wiley +1 more source
On the Computation of EXIT Characteristics for Symbol-Based Iterative Decoding [PDF]
In this paper we propose an efficient method for computing index-based extrinsic information transfer (EXIT) charts, which are useful for estimating the convergence properties of non-binary iterative decoding.
Kliewer, J, Ng, S. X., Hanzo, L.
core
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu +8 more
wiley +1 more source
We design low-complexity bi-directional (forward and backward) modified Soft-Output Viterbi Algorithm (SOVA) decoders to exploit source memory from binary Markov and hidden Markov model (HMM) sources, respectively, for decoding in serially concatenated ...
Zhijie Guo, Lei Cao
doaj +1 more source
High performance short-block binary regular LDPC codes
LDPC code shows a good performance with long-block codes. However, certain channels are constrained to use short-block codes due to latency. Therefore, concatenated LDPC codes with iterative decoding is a good choice to get a good performance ...
Latifa Mostari, Abdelmalik Taleb-Ahmed
doaj +1 more source
Comparative Study of Turbo Equalization Schemes using Convolutional, Convolutional Turbo, and Block-Turbo Codes [PDF]
Turbo equalizers have been shown to be successful in mitigating the effects of inter-symbol interference introduced by partial response modems and by dispersive channels for code rates of $R \le 1/2$.
Hamorsky, J. +3 more
core
A metasurface‐enabled ultrasonic platform achieves precise multi‐focal control through biological barriers, real‐time physiology‐driven modulation, and simultaneous wireless power and data transmission. By unifying wavefront engineering, closed‐loop feedback, and acoustic communication, this work establishes key enabling technologies toward scalable ...
Chuanxin Zhang +3 more
wiley +1 more source

