Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...
self.alpha= tf.get_variable(name=self.alpha_name, shape=[1], dtype=tf.float32, initializer=tf.contrib.layers.xavier_initializer()) self.best_alpha = tf.Variable(tf ...
Syndrome-based neural decoding is a promising approach for soft-decision decoding of short, high-rate codes, but the field is still wide open. Performance often lags behind classical decoders like OSD ...
1 School of Mathematical Sciences, Guizhou Normal University, Guiyang, China. 2 School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China. With the rapid development of deep ...
Abstract: In this letter, a model-driven deep learning (DL) decoder for irregular binary low-density parity-check (LDPC) codes is proposed via the alternating direction method of multipliers (ADMM) ...
Brewed like a beer but consumed like a wine, just a few nuggets of information is all you need to delve into the world of sake, says our drinks expert With just a few nuggets of knowledge, a sake ...
Abstract: The recent development of deep learning methods provides a new approach to optimize the belief propagation (BP) decoding of linear codes. However, the limitation of existing works is that ...
The growing demand of extremely high-data-rate services, together with emerging advanced Internet of Things (IoT) and Industry 4.0 applications bring new technical challenges to wireless ...
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