Blind digital speech watermarking based on Eigen-value quantization in DWT by Mohammad Ali Nematollahi, S.A.R. Al-Haddad, Faraneh Zarafshan

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Unified Calibration-Based Failure Prediction Quantization for Automatic Target Recognition by Sihang Dang, Yunlong Zhang, Zhaoqiang Xia, Xiaoyue Jiang, Shuliang Gui, Xiaoyi Feng

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Heatwave magnitude quantization and impact factors analysis over the Tibetan Plateau by Tongchang Zhang, Gang Deng, Xiuguo Liu, Yan He, Qikai Shen, Qihao Chen

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Massive discovery of crystal structures across dimensionalities by leveraging vector quantization by ZiJie Qiu, Luozhijie Jin, Zijian Du, Hongyu Chen, Guanyao Mao, Yan Cen, Siqi Sun, Yongfeng Mei, Hao Zhang

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A method for synthetic speech detection using local phase quantization by Jia XU, Zhihua JIAN, Honghui JIN, Man YANG

“…Due to the convenience of speech synthesis, synthesized disguised speech poses a great threat to the security of speaker verification systems.In order to further enhance the ability of detecting the camouflage to the speaker verification system, a method of synthetic speech detection was put forward using the information in spectral domain of the synthetic speech spectrogram.The method employed the local phase quantization (LPQ) algorithm to describe frequency domain information in the speech spectrogram.Firstly, the spectrogram was divided into several sub-blocks, and then the LPQ was performed on each sub-block.After the histogram statistical analysis, the LPQ feature vector was obtained and used as the input feature of the random forest classifier to realize the synthetic speech detection.The experimental results demonstrate that the proposed method further reduces tandem detection cost function (t-DCF) and has better generalization ability.…”
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Synchronization of Coupled Harmonic Oscillators Using Quantized Sampled Position Data by Xinjing Wang, Peipei He

“…For coupled harmonic oscillators (CHO), the paper studies the synchronization problem by using the quantized current sampled position data. The logarithmic quantizer is adopted here to quantize the information transmitted; thus the quantization error of the sampled position data can be illustrated as the uncertainty according to the sector bound property. …”
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Quantized Feedback Control of Active Suspension Systems Based on Event Trigger by Jinwei Sun, Jingyu Cong, Weihua Zhao, Yonghui Zhang

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An interpolated quantized guard band algorithm for physical layer key generation by Yongli An, Kun Zha, Wenfeng Song, Zhanlin Ji

“…The symbol information corresponding to these index values is replaced by a new interpolated symbol and inserted into the key by the agreed quantized coordinates. …”
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Quantum simulation of realistic materials in first quantization using non-local pseudopotentials by Dominic W. Berry, Nicholas C. Rubin, Ahmed O. Elnabawy, Gabriele Ahlers, A. Eugene DePrince, Joonho Lee, Christian Gogolin, Ryan Babbush

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Quantization Parameter Cascading for Lossy Point Cloud Attribute Compression in G-PCC by Lei Wei, Zhiwei Zhu, Zhecheng Wang, Shuai Wan

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Breast Tumor Diagnosis Based on Molecular Learning Vector Quantization Neural Networks by Chun Huang, Jiaying Shao, Baolei Peng, Qingshuang Guo, Panlong Li, Junwei Sun, Yanfeng Wang

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Decentralized non-convex online optimization with adaptive momentum estimation and quantized communication by Yunshan Lv, Hailing Xiong, Fuqing Zhang, Shengying Dong, Xiangguang Dai

“…To solve the problem over a communication-efficient manner, we propose a novel quantized decentralized adaptive momentum gradient descent algorithm based on the adaptive momentum estimation methods, where quantified information is exchanged between agents. …”
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Distributed Event-Triggered Circle Formation Control for Multiagent Systems with Nonuniform Quantization by Jiayan Wen, Haijiang Zhang, Guangxing Tan, Ning Cai, Guangming Xie

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Channel-Aware Adaptive Quantization Method for Source Localization in Wireless Sensor Networks by Guiyun Liu, Jing Yao, Yonggui Liu, Hongbin Chen, Dong Tang

“…This paper considers the problem of source localization using quantized observations in wireless sensor networks where, due to bandwidth constraint, each sensor's observation is usually quantized into one bit of information. …”
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ClipQ: Clipping Optimization for the Post-Training Quantization of Convolutional Neural Network by Yiming Chen, Hui Zhang, Chen Zhang, Yi Liu

“…In response to the issue that post-training quantization leads to performance degradation in mobile deployment, as well as the problem that the balanced consideration of quantization deviation by Clipping optimization techniques limits the improvement of quantization accuracy, this article proposes a novel clipping optimization method named ClipQ, which pays different attention to the parameters, aiming to preferentially reduce the quantization deviation of important parameters. …”
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Hierarchical Mixed-Precision Post-Training Quantization for SAR Ship Detection Networks by Hang Wei, Zulin Wang, Yuanhan Ni

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Two-dimensional multi-scale permutation entropy algorithm based on uniform quantization by WANG Daming, SHI Pengfei, LEI Yihang, BIAN Haoran, LIANG Min, CHANG Liwei

“…In order to solve the problem that equal values in the subsequence lead to an increase in the probability of certain ordinal patterns when extending the permutation entropy algorithm to two-dimensional domain, a two-dimensional multi-scale permutation entropy based on uniform quantization (MUPE_2D) algorithm based on uniform quantization was proposed. …”
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On Channel Transforms to Enhance Reciprocity and Quantization in Physical-Layer Secret Key Generation by Ghalib Hussain, Syed Junaid Nawaz, Shurjeel Wyne, Mohammad N. Patwary

“…The SKG procedure involves various steps such as wireless channel probing, quantization, information reconciliation, and privacy amplification to render effective symmetric secret key bits. …”
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Projection-Free Methods for Online Distributed Quantized Optimization With Strongly Pseudoconvex Cost Functions by Xiaoxi Yan, Yu Li, Muyuan Ma

“…Considering that the communication capacity of multi-agent systems is often limited in practical applications, a random quantizer is introduced to reduce the transmission bits when agents exchange information over the network. …”
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Data-oriented optimized nonuniform quantization for CR-enhanced communication efficiency in federated learning by Shuai Luo, Qiming Wan, Hongrui Wang, Tianchun Xiang, Yang Wang, Xin He, Wei Zhang

“…Unlike conventional methods, which apply uniform quantization or fixed-level distributions, Non-QuanFL allocates more quantization levels to frequently occurring gradient values and minimizes distortion by preserving critical gradient information. …”
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