Results 51 to 60 of about 5,685 (163)
Target tracking is one of the broad applications of underwater wireless sensor networks (UWSNs). However, as a result of the temporal and spatial variability of acoustic channels, underwater acoustic communications suffer from an extremely limited ...
Senlin Zhang +3 more
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On the achievable rate of bandlimited continuous-time AWGN channels with 1-bit output quantization
We consider a real continuous-time bandlimited additive white Gaussian noise channel with 1-bit output quantization. On such a channel the information is carried by the temporal distances of the zero-crossings of the transmit signal.
Sandra Bender +2 more
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Design of a 2-Bit Neural Network Quantizer for Laplacian Source
Achieving real-time inference is one of the major issues in contemporary neural network applications, as complex algorithms are frequently being deployed to mobile devices that have constrained storage and computing power.
Zoran Perić +4 more
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UNO: Unlimited Sampling Meets One-Bit Quantization
Recent results in one-bit sampling provide a framework for a relatively low-cost, low-power sampling, at a high rate by employing time-varying sampling threshold sequences. Another recent development in sampling theory is unlimited sampling, which is a high-resolution technique that relies on self-reset ADCs to yield an unlimited dynamic range. In this
Arian Eamaz +3 more
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This paper introduces an enhanced approach for deploying deep learning models on resource-constrained IoT devices by combining model partitioning, autoencoder-based compression, quantization with Time Dependent Clustering Loss (TCL) regularization, and ...
Oscar Artur Bernd Berg +6 more
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BER-Constrained Power Allocation for Uplink NOMA Systems with One-Bit ADCs
This study investigates bit error rate (BER)-constrained power allocation for uplink non-orthogonal multiple access (NOMA) systems in which a base station employs one-bit analog-to-digital converters.
Tae-Kyoung Kim
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An empirical study of LLaMA3 quantization: from LLMs to MLLMs
The LLaMA family, a collection of foundation language models ranging from 7B to 65B parameters, has become one of the most powerful open-source large language models (LLMs) and the popular LLM backbone of multi-modal large language models (MLLMs), widely
Wei Huang +9 more
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A Watermarking Algorithm Based on DCT and JPEG Quantization Table
In this paper, we propose a scheme of watermark embedding and extracting based on DCT transform and JPEG quantization table. Firstly, the image is divided into non-overlapping 8 × 8 blocks, and each block is transformed by DCT.
Zheng Yun-Ping, Zi-Lun Xi
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Adaptive Delta-Sigma Modulation for Enhanced Input Dynamic Range
An adaptive delta-sigma modulator of 1st order with one-bit quantization is presented. Adaptation is instantaneous and based on an exponential law. The feedback signal is a multibit discrete-level signal generated by a digital-to ...
Clemens M. Zierhofer
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A Two-Phase Super-Resolution Quantization Scheme Optimized by Sequential Grading and Data Bias Correction [PDF]
Model quantization technology effectively reduces model storage and computational overhead by mapping high-precision floating-point data to low-bit discrete spaces.
HAO Liang, SU Bohejun, WANG Jinghua, XU Yong
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