A5101702210- Advanced Data Compression Techniques
- Advanced Wireless Communication Techniques
- Civil and Geotechnical Engineering Research
- Railway Engineering and Dynamics
- Advanced Adaptive Filtering Techniques
- Geotechnical Engineering and Underground Structures
- Speech and Audio Processing
- Digital Filter Design and Implementation
- Mechanical Engineering and Vibrations Research
- Algorithms and Data Compression
- Grouting, Rheology, and Soil Mechanics
- Brake Systems and Friction Analysis
- Vehicle Dynamics and Control Systems
- Gear and Bearing Dynamics Analysis
- Image and Video Stabilization
- Advanced Data Storage Technologies
- Vehicle License Plate Recognition
- Adhesion, Friction, and Surface Interactions
- Spacecraft and Cryogenic Technologies
- Materials Engineering and Processing
- Membrane Separation Technologies
- Image Processing Techniques and Applications
- Advanced Nanomaterials in Catalysis
- Advanced battery technologies research
- Coding theory and cryptography
Beijing Jiaotong University
2022-2024
Yanshan University
2022
Harbin Institute of Technology
2013-2018
KLA (United States)
2016
Chengdu Design & Research Institute of Building Materials Industry (China)
2014
Beijing Institute of Technology
2013
Tianjin University
2007
National Engineering Research Center of Electromagnetic Radiation Control Materials
2007
The University of Sydney
2002-2003
Abstract The noise within train is a paradox; while harmful to passenger health, it useful operators as provides insights into the working status of vehicles and tracks. Recently, methods for identifying defects based on interior signals are emerging, among which representation learning foundation deep neural network models understand key information structure data. To provide foundational data track fault detection, framework noise, named framework, introduced. method includes: (i) using...
According to the function requirements of coring bit for planetary exploration, and a new with barrier ring structure is developed resolve low ratio problem. The model cutting tools generalized regolith interaction established. soil lateral failure which caused by analyzed Take Lunar as an example, influence parameters force analyzed. Test have shown that can improve effectively. However, horizontal significantly higher, axial decline. conclusion research could provide theoretical basis...
A new soft input source decoding (SD) algorithm based on channel optimized vector quantization (COVQ) is proposed. Its application in improving the low-bit-rate speech quality over an AWGN presented.
In this paper, we present a new soft input speech decoding algorithm in low bit rate transmission over Rayleigh fading channel based on vector quantization (VQ) technique. Traditionally, wireless communication system, if the source coder is designed by VQ clear channel, technique called optimized (SOVQ). If an with given signal-to-noise ratio (SNR), it (COVQ). It has been proven that, first-order Gauss-Markov source, COVQ performs much better than SOVQ and using hard decision channel. Here,...
This paper uses the industrialization production device to study factors that affecting performance of fly ash products. Through adopting appropriate material ratio and technological parameters, load-bearing standard bricks with large admixing amount were successful developed. The mixing has reached about 50%, got application in industrialized which annual output is 400 million pieces. product performances are referred requirements specified JC 239-2001, compressive strength reach 16.6 MPa...
A new algorithm for optimal design of joint source-channel coding over coded communication systems is presented. The source coder and decoder (codec) based on the vector quantization (VQ) technique are optimized system by minimizing end-to-end distortion. channel codec realized with a turbo code. proposed derived discrete-input analog-output additive white Gaussian noise (AWGN) model. Maximum posteriori (MAP) used soft-output decoding. soft output signals applied directly to designed...
The factors relation to the longitudinal sliding friction coefficient of sedan braking are numerous,and affects each factor complex.This paper selects speed, load,tire pressure,road surface properties,road conditions,through orthogonal experiment,getting influence degree factor.Regarding large range speed,studying relationship between and speed,and getting trend.
The driving conditions of commercial trucks are very complex, therefore, the study longitudinal braking friction coefficient is difficult. Domestic research in this area still blank. factors light researched, with orthogonal experiment different and levels. From experiment, how many main affect acquired. After that, perform under condition single factor variable , such as, vehicle speed, load. results, variation tendency every obtained.
an improved method is proposed to skip the look-ahead period in this paper. The uses autocorrelation algorithm calculate Linear Prediction (LP) coefficients and then LP are employed extrapolate new samples for replacing samples. To evaluate quality of method, perceptual evaluation speech (PESQ) A/B listening test designed objective subjective evaluation. reconstructed modified near original AMR codec, at same time, delay lower 5ms than method.
摘要: 该文提出了一种适用于MIMO-OFDM系统的迭代最大后验概率(Iterative-MAP)信道估计算法。接收机利用MAP译码算法中的信息位和校验位软信息，经过非线性映射将信息反馈至信道估计模块，采用递归最小二乘(RLS)自适应滤波算法对信道时变状态参数进行跟踪，提高了信道估计的精度。仿真结果表明，该方法与最小二乘(LS)算法相比，估计的均方误差(MSE)和误帧率(FER)性能都有较大改善。 关键词: 信道估计; MIMO-OFDM; 自适应滤波; MAP译码
A rotary driving component is the power output unit of a lunar sampler. planetary gear system used as transmission system. The sampler subjected to an extremely rigorous mechanical environment during transportation. In this paper, time-varying meshing stiffness curves gears are calculated by Shi Chuan method. translational torsional dynamic model two-stage established. Based on Runge–Kutta method, solution program obtain inherent characteristics transmission, and corresponding verification...