Results 181 to 190 of about 148,871 (301)
This thesis is about Turbo codes - codes constructed via parallel concatenation of two recursive convolutional encoders linked by an interleaver. The focus of the work is on the understanding and design of Turbo codes. This includes thorough investigation of central components that influence Turbo code performances, such as the constituent encoders and
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Effects on the number of days required to reach the maximum hemagglutinin (HA) content did not solely depend on the transgene transcript levels, regardless of the accumulation compartment. Effects on the reduction rate after the maximum HA content correlated with endoplasmic reticulum stress response, depending on the accumulation compartment ...
Patthasarun Pruksarojanakul+4 more
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MRAgent: an LLM-based automated agent for causal knowledge discovery in disease via Mendelian randomization. [PDF]
Xu W+11 more
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Interleaving and termination in unpunctured symmetric turbo codes
Johann A. Briffa, Victor Buttigieg
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Power allocation policies for convolutional and turbo coded systems over fading channels [PDF]
A. Rangarajan+2 more
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Abstract Purpose To characterize the diffusion time (Δeff) dependence of apparent diffusion coefficient (ADC) and intravoxel incoherent motion–related parameters in the human kidney at 3 T. Methods Sixteen healthy volunteers underwent an MRI examination at 3 T including diffusion‐weighted imaging at different Δeff ranging from 24.1 to 104.1 ms.
Julia Stabinska+5 more
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Performance Evaluation of Open Channel Buhlmann Fecal Calprotectin Turbo Assay on Abbott Alinity C Analyzer. [PDF]
Sataranatarajan K+5 more
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Block turbo codes: towards implementation
Sylvie Kerouédan, Patrick Adde
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Reduced Complexity I/Q Turbo Detection for Space–Time Trellis-Coded Systems [PDF]
B.L. Yeap, Lajos Hanzo
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T1 and T2 measurements of the neonatal brain at 7 T
Abstract Purpose To determine the expected range of NMR relaxation times (T1 and T2) in the neonatal brain at 7 T. Methods Data were acquired in a total of 40 examinations on infants in natural sleep. The cohort included 34 unique subjects with postmenstrual age range between 33 and 52 weeks and contained a mix of healthy individuals and those with ...
Aiman Mahmoud+17 more
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