A high-performance communication receiver desires a sufficient and accurate recognition of
transmitted sources. In this paper, we propose a sequential decoding algorithm for the …

Pre-trained Models (PTMs) have reached the state-of-the-art (SOTA) on many Natural
Language Processing (NLP) tasks and Computer Vision (CV) tasks, and are called the …

In this letter, we consider improving the performance of symbol detection by utilizing the
natural redundancy (NR) that widely exists in the transmission sources. As an initial study …

High-speed information transmission system demands more powerful communication
receivers. In this paper, we integrate deep learning algorithms into constructing waveform …

In this paper, we present a new lossless text compression technique which utilizes syllable-
based morphology of multi-syllabic languages. The proposed algorithm is designed to …

Big-data storage has substantial challenges due to accumulative noise in storage media. To
ensure its long-term reliability, new techniques for error correction are being explored. This …

Storage systems have a strong need for substantially improving their error correction
capabilities, especially for long-term storage where the accumulating errors can exceed the …

The persistent storage of big data requires advanced error correction schemes. The
classical approach is to use error correcting codes (ECCs). This work studies an alternative …

Compression of texts has been widely studied by various researchers and in the process,
several algorithms have been proposed. However, compression of texts using the syllabic …

The current wireless communication system has higher performance demands for receivers.
This paper considers exploiting the natural redundancy (NR) that is widely existed in the …