Estimation of Canopy Water Content by Integrating Hyperspectral and Thermal Imagery in Winter Wheat Fields by Chenkai Gao, Shuimiao Liu, Pengnian Wu, Yanli Wang, Ke Wu, Lingyun Li, Jinghui Wang, Shilong Liu, Peimeng Gao, Zhiheng Zhao, Jing Shao, Haolin Yu, Xiaokang Guan, Tongchao Wang, Pengfei Wen

“…The objectives of this study were to characterize the performance of two varieties at different growth stages under five water stress conditions and screen hyperspectral sensitive spectral bands by using continuous wavelet transform (CWT) and a <b>successive projection algorithm (SPA).…”
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An Axial Compression Transformer for Efficient Human Pose Estimation by Wen Tan, Haixiang Zhang, Xinyi Song

“…Transformer has a wide range of applications in human posture estimation. …”
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Optimization of Sorghum Spike Recognition Algorithm and Yield Estimation by Mengyao Han, Jian Gao, Cuiqing Wu, Qingliang Cui, Xiangyang Yuan, Shujin Qiu

“…Image- and video-based yield estimation accuracies reached 89–96% and 75–93%, respectively, with single-frame latency as low as 0.047 s. …”
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A Method for Speed Up the Allpass Transformation Algorithm by M. I. Porhun, M. I. Vashkevich

“…Two algorithms for calculating the phase transformation, which consists in calculating the outputs of a chain of phase links, are considered. …”
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SHOCK PULSE REPETITION FREQUENCY ESTIMATION BY PERIODIC WAVELET TRANSFORM by I. G. Davydov, S. U. Vasiukevich, A. V. Tsurko, I. M. Segliuk

“…The algorithm for shock pulse repetition frequency estimation based on periodic wavelet transform was proposed. …”
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Arithmetically Fast Position Transformation for View Synthesis and Depth Estimation by Krzysztof Wegner, Tomasz Grajek, Krzysztof Klimaszewski

“…The process finds extensive use in virtual view generation in Free Viewpoint Video (FVV) and virtual reality applications as well as in depth estimation algorithms. The proposed method relies on the reformulation of the matrix equation used in the process. …”
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A fractional Fourier transform–based channel estimation algorithm in single-carrier direct sequence code division multiple access underwater acoustic communication system by Lin Zhou, Qingsheng Zhao, Shukai Chi, Yanlong Li, Lanjun Liu, Qianxiang Yu

“…Based on the advantageous characteristics of fractional Fourier transform on chirp signal processing, a fractional Fourier transform–based algorithm using combined linear frequency–modulated signal is proposed, which can estimate parameters of underwater acoustic channel and has a better performance than the existing methods. …”
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Statistical modeling based fast rate distortion estimation algorithm for HEVC by Xiang MENG, Haibing YIN, Xiaofeng HUANG

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Implementation of Fuzzy Logic Scheme for Assessment of Power Transformer Oil Deterioration Using Imprecise Information by Zuhaib Nishter, Fangzong Wang

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ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression by Jingyi Zhang, Shishun Zhao, Yang Xu, Tao Hu

“…To overcome these challenges, we propose a kernel density estimation-based unbiased transformation approach to estimate failure time. …”
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Utility channel estimation algorithm with interference suppression in OFDM system by Xiaoyang LAI, Lin DUO

“…In OFDM system,the least square（LS）algorithm has the shortage of noise cancelling and interference suppressing.An utility channel estimation algorithm which took advantage of the time frequency characteristic in OFDM system was proposed.The new channel estimation algorithm realized noise cancelling and interference suppressing through time-frequency transform by three times.In view of time-frequency transform could be achieved by FFT/IFFT,the new channel estimation algorithm complexity was low.In the TU channel simulation,the new channel estimation algorithm has the high performance,which was 3 dB better than the LS algorithm.In the TU channel simulation with interference suppression,the new channel estimation algorithm has only 1.5 dB reduction in performance.…”
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Estimation of emerald mineralization probability using machine learning algorithms by Daniela Neva-Rodriguez, Luis Hernán Ochoa-Gutierrez

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Statistical modeling based fast rate estimation algorithm for VVC by Wei QI, Haibing YIN, Hongkui WANG, Xiaofeng HUANG, Weihong NIU

“…To reduce the coding complexity of the rate-distortion optimization process of the latest video coding standard versatile video coding (VVC), a fast rate estimation model based on statistical modeling was proposed.Firstly, the quantization behavior in dependent quantization (DQ) and the context dependency in entropy coding were fully considered.Features that could describe context state transition in the coding process were proposed to estimate rate of some synatax elements in a TU preliminarily.Secondly, coefficient chaos and sparsity features were proposed to distinguish the influence of coefficient distribution difference on the rate cost based on the coefficient distribution characteristics which built a TU level rate model.Finally, large-size transform unit (TU) and small-size TU was modeling respectively according to the rate composition character to achieve more accurate rate estimation.A large number of parameters were trained by regression model through statistical methods, and the final linear rate model was obtained which was applied to the mode decision.Experimental results show that the proposed algorithm can achieve 16.289% complexity reduction with 1.567% BD-BR increase for RA configuration.…”
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Symbol rate estimation of PSK signal based on PLL and wavelet transform by Nan XIA, Tian-shuang QIU, Jing-chun LI

“…An improved algorithm for symbol rate estimation based on wavelet transform was proposed.The PLL based phase adaptive tracking approach was applied to synchronize the phase between the receiver and the itter and extract the signal envelope.The symbol rate was estimated from the wavelet transform magnitudes of the base-band signal.The improved algorithm effectively solved the problem on the result of estimation suffering from initial phases and noise occurred in the classical Chan’s algorithm.Simulation results verify that the novel algorithm is efficient and superior to the existing algorithms.…”
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Deep learning channel estimation algorithm for ultra-massive terahertz systems by YU Shujuan, ZHAO Yang, WEI Yuyao, ZHANG Yun, GAO Gui, ZHAO Shengmei

“…In order to further improve the hybrid-field channel estimation performance in terahertz ultra-massive multiple-input multiple-output systems, an efficient cross channel Transformer module for image restoration and a fast Fourier transform convolutional network were introduced based on the fixed point network, and a scalable and efficient deep learning model FPN-OTFN was proposed, which models the channel estimation problem as an image restoration problem. …”
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FMCW radar range estimation algorithm based on fast iterative interpolation by Yongchang DUAN, Xin LI, Yaohui HUANG, Ping HUANG

“…For the multi-target detection,a multi-objective range estimation algorithm was proposed based on iterative interpolation to solve the problem of the range accuracy of frequency modulation continuous wave (FMCW) radar being easy to be interfered by spectrum.Firstly,the number of targets and the rough location of the target were obtained through the fast Fourier transform (FFT) and the constant false alarm (CFAR) detection algorithm.Then spectrum was iteratively interpolate,and the inter-spectral interference was eliminated during each iteration to obtain more accurate distance.Simulation results show that the proposed algorithm has higher estimation accuracy in multi-target environment and low Signal-to-noise ratio(SNR).The proposed algorithm is implemented by DSP,which proved that the algorithm meets the real-time requirements and is easy to be implemented in engineering.…”
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Scattering-Based Machine Learning Algorithms for Momentum Estimation in Muon Tomography by Florian Bury, Maxime Lagrange

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A numerical algorithm based on Jacobi polynomials for FIDEs with error estimation by K. Sadri, D. Amilo, E. Hincal

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MQAM modulation scheme recognition using Hilbert transform by XI Jia-xi, WANG Zong-xin

“…A modulation scheme recognition algorithm for MQAM signals was proposed.The method does not require the prior information about baud rate and carrier frequency of the received signals.Baud rate is estimated first,then re-sampling,Hilbert transformation,baud rate sampling and clustering are performed.It does not need carrier frequency estimation and decreases the calculation.Computer simulations show that the correct recognition ratio is larger than 95% if SNR is greater than 12dB and using 1024 or more symbols.So it is suitable for signal detection and recognition of practical applications.…”
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Highway Traffic Flow Prediction Algorithm Based on Multiscale Transformation and Convolutional Networks by Yuzhu Luo, Jiarong Wang, Ming Wei

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