Suchergebnisse - low-precision quantization algorithm

An Energy-Efficient Signal Detection Scheme for a Radar-Communication System Based on the Generalized Approximate Message-Passing Algorithm and Low-Precision Quantization von Xia, De-Ping, Zhang, Yu, Cai, Peixiang, Huang, Ling

“… ) algorithm is implemented. Furthermore, a quantization model is introduced into the output function of the GAMP algorithm …”
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Improving Low-Precision Network Quantization via Bin Regularization von Han, Tiantian, Li, Dong, Liu, Ji, Tian, Lu, Shan, Yi

“… In this work, we propose a novel weight regularization algorithm for improving low-precision network quantization …”
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Design of Sparse CNN Accelerator Based on Inter-Frame Data Reuse von Qirun HONG, Qin WANG

“… To solve these problems, a design using a learned step-size low-precision quantization is proposed to increase the sparsity of differential frames …”
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Lance: efficient low-precision quantized winograd convolution for neural networks based on graphics processing units von Li, Guangli, Liu, Lei, Wang, Xueying, Ma, Xiu, Feng, Xiaobing

“… In this paper, we propose an efficient low-precision quantized Winograd convolution algorithm, called LANCE, which combines the advantages of fast convolution and quantization techniques …”
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Intelligent Reflective Surface Assisted Low-Bit Wireless Communication System Based on Genetic Algorithm von Peng, Yi, Zhang, Peichang, Ye, Junjie, Huang, Lei

“… Those existing IRS discrete phase optimization methods are mainly based on ideal phase approximation by distance, which poses the problem of severe system performance loss at low precision quantization …”
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A Time-Domain Channel Estimation Method for MIMO-OFDM Systems with Low-Precision Quantization von Xiong, XingZhong, Wang, HaiFeng

“… -OFDM systems with low-precision quantization. The low-precision quantization affects the performance of the system, however, by selecting the appropriate training …”
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Learning Dynamics of Low-Precision Clipped SGD with Momentum von Nassif, Roula, Kar, Soummya, Vlaski, Stefan

“… We show that, despite the low-precision representation, the quantized variant of the clipped SGD algorithm with momentum is able to converge in the mean-square-error sense …”
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LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update von Zhao, Jiawei, Dai, Steve, Venkatesan, Rangharajan, Zimmer, Brian, Ali, Mustafa, Liu, Ming-Yu, Khailany, Brucek, Dally, William J., Anandkumar, Anima

“… ) and a multiplicative weight update algorithm (Madam). We prove that LNS-Madam results in low quantization error during weight updates, leading to stable performance even if the precision is limited …”
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QPyTorch: A Low-Precision Arithmetic Simulation Framework von Zhang, Tianyi, Lin, Zhiqiu, Yang, Guandao, De Sa, Christopher

“… Low-precision training reduces computational cost and produces efficient models. Recent research in developing new low-precision training algorithms often …”
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Effect of low-precision quantization on the performance of channel estimation for OFDM systems von Wang, Haifeng, Xiong, Xingzhong, Li, Dandan

“… However, the optimized channel estimation algorithm can effectively reduce the impact of low-precision quantization on the performance of the channel estimation …”
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HLQ: Hardware-Friendly Logarithmic Quantization Aware Training for Power-Efficient Low-Precision CNN Models von Choi, Dahun, Park, Juntae, Kim, Hyun

“… (MAC) operation in the convolution (CONV) operation, which occupies most of the CNNs, can be replaced with the addition operation and is suitable for low-precision quantization …”
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On the limits of communication with low-precision analog-to-digital conversion at the receiver von Singh, J., Dabeer, O., Madhow, U.

“… Specifically, we evaluate the communication limits imposed by low-precision ADC (e.g., 1-3 bits) for transmission over the real discrete-time additive white Gaussian noise …”
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Low-Bit Hybrid RIS Enhanced Beamforming Design With Imperfect CSI von Guo, Yeyong, Zhang, Peichang, Peng, Yi, Ye, Junjie, Huang, Lei, Chen, Zhen

“… ). Firstly, we utilize alternating optimization (AO) and fractional programming (FP) algorithm to solve the continuous phase shift optimization problem …”
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Quant-NeRF: Efficient End-to-End Quantization of Neural Radiance Fields with Low-Precision 3D Gaussian Representation von Hasssan, Ahmed, Anupreetham, Anupreetham, Meng, Jian, Seo, Jae-sun

“… However, the efficient, low precision, and hardware …”
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On the Design of Capacity-Achieving Distributions for Discrete-Time Poisson Channel With Low-Precision ADCs von Li, Qianqian, Li, Lintao, Liu, Lixiang, Yang, Lei, Gong, Caihong, Li, Hua, Hao, Shiya, Dai, Xiaoming

“… ) under dark current effects with low-precision analog-to-digital converters (ADCs). An efficient algorithm integrating the Newton-Raphson and Blahut-Arimoto (BA …”
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Learning Low-Precision Structured Subnetworks Using Joint Layerwise Channel Pruning and Uniform Quantization von Zhang, Xinyu, Colbert, Ian, Das, Srinjoy

“… Pruning and quantization are core techniques used to reduce the inference costs of deep neural networks …”
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All-Digital LoS MIMO With Low-Precision Analog-to-Digital Conversion von Sezer, Ahmet Dundar, Madhow, Upamanyu

“… We propose low-precision quantizer designs and accompanying spatial demultiplexing algorithms, considering <inline-formula> <tex-math notation="LaTeX">2 \times 2 </tex-math></inline-formula …”
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Compressive Sensing Using Iterative Hard Thresholding with Low Precision Data Representation: Theory and Applications von Gurel, Nezihe Merve, Kara, Kaan, Stojanov, Alen, Smith, Tyler, Lemmin, Thomas, Alistarh, Dan, Puschel, Markus, Zhang, Ce

“… Modern scientific instruments produce vast amounts of data, which can overwhelm the processing ability of computer systems. Lossy compression of data is an …”
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Soft-Output Detection Methods for Sparse Millimeter-Wave MIMO Systems With Low-Precision ADCs von Jeon, Yo-Seb, Do, Heedong, Hong, Song-Nam, Lee, Namyoon

“… quantization noise caused by low-precision ADCs. Then, we harness this sparse channel model to create a trellis diagram with a reduced number of states and a factor graph with very sparse edge connections, which are used for the computationally …”
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Bayes-Optimal MMSE Detector for Massive MIMO Relaying With Low-Precision ADCs/DACs von Yang, Xi, Wen, Chao-Kai, Jin, Shi, Swindlehurst, A. Lee

“… In this study, we focus on the detector design for a massive multiple-input multiple-output amplify-and-forward relaying system with low-precision analog-to-digital converters (ADCs …”
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