2016 IEEE 13th International Conference on Signal Processing (ICSP)最新文献_第9页

A new motion estimation method for long-term ultrasound free respiration sequences based on multi-scale blobness enhancement filter and level set method 基于多尺度斑点增强滤波和水平集法的长时间超声自由呼吸序列运动估计新方法

2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7877796

Yue Zhao, Yi Shen, Jiaxin Li, Jing Jin, Qiucheng Wang

引用次数: 1

Process noise estimator based on observation sequence and its application on inertial navigation system 基于观测序列的过程噪声估计及其在惯性导航系统中的应用

2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7877859

Xiao Xuan, Huang Kun, Yang Liming, Liang Yuan

引用次数: 1

A robust rotary machinery fault diagnosis approach based on entropy fusion and DS theory 基于熵融合和DS理论的鲁棒旋转机械故障诊断方法

2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878061

Jie Chen, Fang Ye, Yibing Li

引用次数: 1

Research on spectrum sensing technology of channelization filtering based on optical frequency comb 基于光频梳的信道化滤波频谱传感技术研究

2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7877831

Jianjun Zhang, Ming Xue

{"title":"Research on spectrum sensing technology of channelization filtering based on optical frequency comb","authors":"Jianjun Zhang, Ming Xue","doi":"10.1109/ICSP.2016.7877831","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7877831","url":null,"abstract":"Future applications demand military radio systems that can handle higher frequencies and greater bandwidth, whereas the real-time and high-precision radio frequency (RF) spectrum detection can be hardly realized due to the volume and power consumption of traditional RF devices. Through the development of photonic technology, it is perceived that photonic technology will become the new analog signal processing platform with the advantages of the high bandwidth and low loss, so that the function of perception and frequency conversion could be separated from the DSP, thus avoiding digital processing of mass and high energy consumption. In this paper, the received microwave signal is loaded onto the optical frequency comb (OFC) wave, and then the RF signal is input to the Fabry-Perot filter, which has a comb transmission spectrum and filters for a particular frequency periodically. Moreover, the filter has a different free spectral range (FSR) from the OFC. It is for this reason that the frequency of the N-th carrier of OFC differs from that at the N-th transmission peak of the Fabry-Perot filter, and the OFC after comb filtering is spatially divided into different channels by a wavelength division multiplexer. The power of each channel can be obtained by photoelectric detectors and used to estimate the frequency of the RF microwave signals. As the simulation demonstrated, the solution can measure RF microwave signals in a real-time, high-speed, parallel and broadband way.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"531 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133876304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Video super-resolution using joint regularization 使用联合正则化的视频超分辨率

2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7877916

Di Chen, Xiaohai He, Honggang Chen, Zhengyong Wang, Yijun Zhang

引用次数: 3

Obstacle sensing using dechirp SAR 基于dechirp SAR的障碍物感知

2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878067

Zhibiao Jiang, Jian Wang, Qian Song, Zhimin Zhou

引用次数: 2

Misjudgement analytical method based on decision parameter volatility for network selections 基于决策参数波动的网络选择误判分析方法

2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878146

Tang Shu, Ma Lin, Xu Yubin

引用次数: 0

Semantic and neighborhood preserving dictionary learning for symmetric positive-definite matrices 对称正定矩阵的语义和邻域保持字典学习

2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7877913

Daming Li, Lei Chen, Fei Wang

引用次数: 3

Deep learning tracker via SVM ranking vector 基于SVM排序向量的深度学习跟踪器

2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7877973

Bo Dai, Z. Hou, Wangsheng Yu, Xin Wang, Dan Hu

{"title":"Deep learning tracker via SVM ranking vector","authors":"Bo Dai, Z. Hou, Wangsheng Yu, Xin Wang, Dan Hu","doi":"10.1109/ICSP.2016.7877973","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7877973","url":null,"abstract":"The deep learning based trackers can always achieve high tracking precision and strong adaptability in different scenarios. However, due to the fact that the number of the parameter is large and the fine-tuning is challenging, the time complexity is high. In order to improve the efficiency, we proposed a tracker based on fast deep learning through constructing a new network with less redundancy. Based on the theory of deep learning, we proposed a deep neural network to describe essential features of images. Furthermore, fast deep learning can be achieved by restricting the size of network. With the help of GPU, the time complexity of the network training is released to a large extent. Under the framework of particle filter, the proposed method combined the deep learning extractor with an SVM scoring professor to distinguish the target from the background. The condensed network structure reduced the complexity of the model. Compared with some other deep learning based tracker, the proposed method can achieve higher efficiency. The frame rate keeps at 22 frames per second on average. Experiments on an open tracking benchmark demonstrate that both the robustness and the timeliness of the proposed tracker are promising when the appearance of the target changes containing translation, rotation and scale or the interference containing illumination, occlusion and cluttered background. Unfortunately, it is not robust enough when the target moves fast or the motion blur and some similar objects exist.","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116368610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An effective tracking loop for chirp spread spectrum communication systems 一种用于啁啾扩频通信系统的有效跟踪环路

2016 IEEE 13th International Conference on Signal Processing (ICSP) Pub Date : 2016-11-01 DOI: 10.1109/ICSP.2016.7878017

Chuying Feng, Teng Wang, Xiaohuan Zhi, H. Huan

{"title":"An effective tracking loop for chirp spread spectrum communication systems","authors":"Chuying Feng, Teng Wang, Xiaohuan Zhi, H. Huan","doi":"10.1109/ICSP.2016.7878017","DOIUrl":"https://doi.org/10.1109/ICSP.2016.7878017","url":null,"abstract":"Compared with pseudo-noise (PN) sequences, chirp signals have obvious advantages in acquisition time and tracking performance in the field of telemetry, track, and command (TT&C) with the large Doppler tolerance. In this paper, an effective tracking loop for chirp spread spectrum communication is proposed, which can realize chirp signals modulated by binary phase shift keying (Chirp-BPSK) coherent demodulation with particular Doppler shifts and dynamics, while the bit error rate (BER) is same with the binary phase shift keying (BPSK). First, we design an updated chirp delay locked loop (CDLL) for the chirp signal, and then analyze the performance of the tracking loop such as the pull-in range, measurement errors of CDLL and the carrier loop. Theoretical analysis and simulations demonstrate that the CDLL measurement error is close to the Cramer-Rao lower bound (CRLB) while the carrier tracking loop measurement error is close to the theoretical thermal noise jitter. Finally, BER performance of Chirp-BPSK, with exploiting the proposed loop, increases more than 3dB compared with chirp signals modulated by binary orthogonal keying (Chirp-BOK).","PeriodicalId":234499,"journal":{"name":"2016 IEEE 13th International Conference on Signal Processing (ICSP)","volume":"312 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115444424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2