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IEEE International Conference on Computational science and Engineering, CSE

作者： Kun Zhang Yourong Lu Wei Wang National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu P. R. China

ISBN: (纸本)9781479979820

Multi-antenna blind signal separation (BSS) provides a useful method for co-channel mixed signal processing. But the performance of BSS is limited by the condition number of channel matrix in the presence of noise. To overcome this problem, a new BSS algorithm with the aid of lattice reduction (LR) is proposed for synchronous communication systems. Simulation results show that the proposed algorithm improves the symbol error rate (SER) performance in noise environment while keeping the same complexity level.

关键词： Lattices Noise signal processing algorithms Complexity theory Algorithm design and analysis Vectors blind source separation

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Optimum Strategy of Reference Emitter Placement for Dual-Satellite TDOA and FDOA Localization

Optimum Strategy of Reference Emitter Placement for Dual-Sat...

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International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC)

作者： Kaiqiang Ren Zhengbo Sun National Key Laboratory of Science and Technology on Blind Signal Processing Southwest Institute of Electronic and Telecommunication Chengdu China

ISBN: (数字)9781538682463

ISBN: (纸本)9781538682470

An optimum strategy of reference emitter placement for dual-satellite time difference of arrival (TDOA) and frequency difference of arrival (FDOA) localization based on particle swarm optimization is proposed to improve localization accuracy. Firstly Cramer-Rao lower bound (CRLR) of dual-satellite TDOA and FDOA localization system with ephemeris error and system error is derived. Then, the optimum strategy of reference emitter placement is transformed to multidimensional constraint optimization problem by using CRLB as the criterion for performance of dual-satellite TDOA and FDOA localization system. Finally, optimum strategy of reference emitter placement is obtained by using particle swarm optimization (PSO) to solve the target function. Simulation results demonstrate that the proposed method can derive optimum strategy of reference emitter placement validly. Besides, when the optimum strategy of reference emitter placement is applied, only two reference emitters are demanded to eliminate the effect of ephemeris error and system error on localization accuracy.

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Multi-speaker Emotional Speech Synthesis Based on Self-Supervised Speech Representations 5

Multi-speaker Emotional Speech Synthesis Based on Self-Super...

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5th IEEE International Conference on Pattern Recognition and Machine Learning, PRML 2024

作者： Yin, Mingming Huang, Zhihua Lu, Kexin Zhou, Haiyang School of Computer Science and Technology Xinjiang University Urumqi China School of Computer Science and Technology Xinjiang University Key Laboratory of Signal Detection and Processing Urumqi China

ISBN: (纸本)9798350355925

In recent years, emotional speech synthesis has shown considerable progress. However, some existing emotional speech synthesis methods only model emotion from a single scale, resulting in only global or average emotional expression, unable to synthesize significant emotional speech. In this paper, we propose a multi-scale multi-speaker emotional speech synthesis method based on self-supervised speech model HuBERT. Firstly, the emotion information is extracted from the feature extractor HuBERT. Secondly, the extracted emotion information is modeled by coarse-grained emotion modeling and fine-grained emotion modeling respectively to obtain utterance-level emotion embedding and phoneme-level emotion embedding. Through subjective and objective evaluation, we verify that the method is significantly better than the comparison model in terms of speech quality and emotional expression. © 2024 IEEE.

关键词： emotional speech synthesis self-supervised speech representation speech synthesis

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Image Segmentation Based on Modified Pulse-Coupled Neural Networks

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电子学报(英文版) 2007年第1期16卷 119-122页

作者： ZHANG Junying FAN Xiuju DONG Jiyang SHI Meihong School of Computer Science and Engineering Xidian University Xi＇an 710071 China National Key Laboratory for Radar Signal Processing Xidian University Xi＇an 710071 China Information and Control Department Xi＇an Engineering Science and Technology Institute Xi＇an 710048 Chian

Based on the property of Human vision system (HVS) that human eye's sensitivity to an image varies with different information regions of the image, Pulse-coupled neural network (PCNN) model is modified for image segmentation. The modified PCNN stimulated by an input image has pulse output with multiple pulse values rather than only two in the conventional PCNN, according to the local information rate of the input image. This results in image segmentation according to local information rate delivered from the image by the modified PCNN. Experiments with the modified PCNN on image segmentation and image compression on the segmented images with the principle that the lower information rate is, the higher compression rate is applied, show much better performance in compression rate compared with that on the segmented images with the conventional PCNN.

关键词：脉冲耦合神经网络图象分割图象压缩数学模型改进

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Learning parallax attention for stereo image super-resolution

arXiv

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arXiv 2019年

作者： Wang, Longguang Wang, Yingqian Liang, Zhengfa Lin, Zaiping Yang, Jungang An, Wei Guo, Yulan College of Electronic Science and Technology National University of Defense Technology China National Key Laboratory of Science and Technology on Blind Signal Processing China

Stereo image pairs can be used to improve the performance of super-resolution (SR) since additional information is provided from a second viewpoint. However, it is challenging to incorporate this information for SR since disparities between stereo images vary significantly. In this paper, we propose a parallax-attention stereo superresolution network (PASSRnet) to integrate the information from a stereo image pair for SR. Specifically, we introduce a parallax-attention mechanism with a global receptive field along the epipolar line to handle different stereo images with large disparity variations. We also propose a new and the largest dataset for stereo image SR (namely, Flickr1024). Extensive experiments demonstrate that the parallax-attention mechanism can capture correspondence between stereo images to improve SR performance with a small computational and memory cost. Comparative results show that our PASSRnet achieves the state-of-the-art performance on the Middlebury, KITTI 2012 and KITTI 2015 datasets. Copyright © 2019, The Authors. All rights reserved.

关键词： Optical resolving power

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Improving ECAPA-TDNN Performance with Coordinate Attention

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Journal of Shanghai Jiaotong University (science) 2024年 1-7页

作者： Liu, Shuanghong Song, Zhida He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China Department of Electronic Engineering and Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China

The current mainstream networks, such as squeeze and excitation residual neural network (SE-ResNet) and emphasized channel attention, propagation and aggregation based time delay neural network (ECAPA-TDNN), enhance the capability of speaker embedding extractors to extract more discriminative speaker embeddings by incorporating squeeze and excitation (SE) attention within the convolutional blocks. However, the SE attention focuses solely on encoding inter-channel information, overlooking the importance of spatial positional information and time-frequency information, which are crucial for the model’s performance. In this paper, we first experimentally compare the effectiveness of several mainstream attention mechanisms in the computer vision domain for the ECAPA-TDNN model. Next, we focus on the substantial improvements that coordinate attention (CA) brings to the ECAPA-TDNN model. The introduction of CA can help the model embed time-frequency information into the channel representation. Even without using AS-Norm, our proposed model achieves relative reductions of about 5.3% equal error rate (EER) and 5.5% minimum detection cost function (minDCF) on both the Voxceleb-O and Voxceleb-H test sets compared to the ECAPA-TDNN baseline model. In addition, the EER is relatively reduced by 9.46% on the CN-Celeb1 test set. This result strongly demonstrates that the CA module can effectively improve the generalization ability of the ECAPA-TDNN model. © Shanghai Jiao Tong University 2024.

关键词： Neural network models

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Performance Analysis of OSM-OFDM Systems with Carrier Frequency Offset

Performance Analysis of OSM-OFDM Systems with Carrier Freque...

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International Conference on Communication technology (ICCT)

作者： Tingmin Jiang Yue Xiao Lilin Dan Xinrong Ji Wenqi Tang Yan Zhao National Key Laboratory of Science and Technology on Communications UESTC Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

Offset spatial modulation (OSM) is a novel modulation scheme with simplified radio-frequency-switching structure. In this paper, the concept of OSM is combined with orthogonal frequency division multiplexing (OFDM) transmission to take advantage of the benefits of these two techniques. We shed light on the effects of carrier frequency offset (CFO) on the OSM-OFDM systems over multipath Rayleigh fading channel, where the inter-carrier interference (ICI) induced by CFO degrades the system performance. We further derive the theoretical bit-error rate (BER) upper bound of OSM-OFDM impaired by CFO. Simulation results show that the theoretical BER is in good agreement with its simulated counterpart, which demonstrates the accuracy of the theoretical analysis.

关键词： OFDM Transmitting antennas Receiving antennas Precoding Radio frequency Frequency division multiplexing Upper bound

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Joint optimization algorithm based on array optimization and pattern synthesis 4

Joint optimization algorithm based on array optimization and...

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4th International Conference on Neural Networks, Information and Communication Engineering, NNICE 2024

作者： Liao, Haiyun Tao, Haihong Zhong, Tiantian Cao, Han Song, Dawei Xidian Universitriy National Laboratory of Radar Signal Processing Xi'an China China Academy of Space Technology National Key Laboratory of Science and Technology on Space Microwave Xi'an China

ISBN: (纸本)9798350394375

By optimizing the weights of each element in the array to control the array pattern, the performance of radar can be improved. In this paper, we study the relationship between the position of the array antenna and the weighted value of the array antenna. Based on the given desired pattern, the position of the array antenna and the weighted value of the array are optimized to realize the pattern synthesis. Since the proposed optimization problem is a non-deterministic polynomial problem, a cyclic algorithm is proposed under non-convex constraints to optimize the coordinates and weights with the least number of array antennas in an approximate given desired pattern. Our numerical experiments shows that the proposed algorithm is universal and can control the level of the mainlobe and sidelobe of the pattern, for example, it is used in the design optimization of the phased array emission pattern of unmanned aerial vehicles. © 2024 IEEE.

关键词： Antenna phased arrays

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A Modified Tracking Algorithm for NSHV Based on Aerodynamic Model

A Modified Tracking Algorithm for NSHV Based on Aerodynamic ...

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2021 CIE International Conference on Radar, Radar 2021

作者： Zhang, Jiaqi Zheng, Jibin Sun, Dianxing Liu, Hongwei Xidian University National Laboratory of Rader Signal Processing Xian China China Electronic Technology Group Corporation Science and Technology on Electronic Test and Measurement Laboratory Qingdao China

ISBN: (纸本)9781665498142

In order to track the near space hypersonic vehicle (NSHV), we propose a tracking model containing aerodynamic and kinematic information using interacting multiple model (IMM) algorithm with accruate speed prior information. Because traditional maneuver models are difficult to describe the complex movement characteristics, which involves large-scale high-speed mobile, large flight cover, etc., fault-acceleration model with surface damage model and external disturbance model are proposed. With the model, the state equations are constructed and the system dynamic error is deduced taking variable structure multiple model (VSMM) algorithm as the flitering algorithm. Moreover, an adaptive method for the change of control variables is proposed for setting parameters apporiately in the situations when a prior information is unknown. Simulation experiments are conducted to validate the superiorities among all tracking algorithms in this paper. © 2021 IEEE.

关键词： aerodynamic model interacting multiple model algorithm near space hypersonic vehicle tracking

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Formulation of Optimization Problems with Radiation Field Phases as Design Variables for Pattern Synthesis of Linear Antenna Arrays

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China Communications 2022年第12期19卷 86-100页

作者： Fei Zhao Jun He Sanyou Zeng Changhe Li Qinghui Xu Zhigao Zeng School of Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China Science and Technology on Blind Signal Processing Laboratory Southwest Electronics and Telecommunication Technology Research InstituteChengdu 610041China School of Automation China University of GeosciencesWuhan 430074China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan 430074China College of Computer Hunan University of TechnologyZhuzhou CityHunan Province412007China

Pattern synthesise of antenna arrays is usually complicated optimization problems,while evolutionary algorithms(EAs)are promising in solving these *** paper does not propose a new EA,but does construct a new form of optimization *** new optimization formulation has two differences from the common *** is the objective function is the field error between the desired and the designed,not the usual amplitude error between the desired and the *** difference is beneficial to decrease complexity in some *** second difference is that the design variables are changed as phases of desired radiation field within shaped-region,instead of excitation *** difference leads to the reduction of the number of design variables.A series of synthesis experiments including equally and unequally spaced linear arrays with different pattern shape requirements are applied,and the effectiveness and advantages of the proposed new optimization problems are *** results show that the proposing a new optimization formulation with less complexity is as significant as proposing a new algorithm.

关键词： pattern synthesis evolutionary algorithms linear antenna arrays

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