Eurasip Journal on Advances in Signal Processing最新文献_第5页

Distributed Gram-Schmidt orthogonalization with simultaneous elements refinement. 同时元素细化的分布式Gram-Schmidt正交化。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2016-01-01 Epub Date: 2016-02-24 DOI: 10.1186/s13634-016-0322-6

Ondrej Slučiak, Hana Straková, Markus Rupp, Wilfried Gansterer

引用次数: 3

Robust adaptive filtering using recursive weighted least squares with combined scale and variable forgetting factors. 结合尺度和可变遗忘因子的递推加权最小二乘鲁棒自适应滤波。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2016-01-01 Epub Date: 2016-03-31 DOI: 10.1186/s13634-016-0341-3

Branko Kovačević, Zoran Banjac, Ivana Kostić Kovačević

引用次数: 1

A parameter estimation algorithm for LFM/BPSK hybrid modulated signal intercepted by Nyquist folding receiver. 奈奎斯特折叠接收机截获LFM/BPSK混合调制信号的参数估计算法。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2016-01-01 Epub Date: 2016-08-18 DOI: 10.1186/s13634-016-0387-2

Zhaoyang Qiu, Pei Wang, Jun Zhu, Bin Tang

{"title":"A parameter estimation algorithm for LFM/BPSK hybrid modulated signal intercepted by Nyquist folding receiver.","authors":"Zhaoyang Qiu, Pei Wang, Jun Zhu, Bin Tang","doi":"10.1186/s13634-016-0387-2","DOIUrl":"https://doi.org/10.1186/s13634-016-0387-2","url":null,"abstract":"Nyquist folding receiver (NYFR) is a novel ultra-wideband receiver architecture which can realize wideband receiving with a small amount of equipment. Linear frequency modulated/binary phase shift keying (LFM/BPSK) hybrid modulated signal is a novel kind of low probability interception signal with wide bandwidth. The NYFR is an effective architecture to intercept the LFM/BPSK signal and the LFM/BPSK signal intercepted by the NYFR will add the local oscillator modulation. A parameter estimation algorithm for the NYFR output signal is proposed. According to the NYFR prior information, the chirp singular value ratio spectrum is proposed to estimate the chirp rate. Then, based on the output self-characteristic, matching component function is designed to estimate Nyquist zone (NZ) index. Finally, matching code and subspace method are employed to estimate the phase change points and code length. Compared with the existing methods, the proposed algorithm has a better performance. It also has no need to construct a multi-channel structure, which means the computational complexity for the NZ index estimation is small. The simulation results demonstrate the efficacy of the proposed algorithm.","PeriodicalId":49203,"journal":{"name":"Eurasip Journal on Advances in Signal Processing","volume":"2016 ","pages":"90"},"PeriodicalIF":1.9,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s13634-016-0387-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"34720437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Data Fusion for Improved Respiration Rate Estimation. 改进呼吸速率估计的数据融合。

IF 1.9 4区工程技术

Eurasip Journal on Advances in Signal Processing Pub Date : 2010-01-01 DOI: 10.1155/2010/926305

Shamim Nemati, Atul Malhotra, Gari D Clifford

{"title":"Data Fusion for Improved Respiration Rate Estimation.","authors":"Shamim Nemati, Atul Malhotra, Gari D Clifford","doi":"10.1155/2010/926305","DOIUrl":"https://doi.org/10.1155/2010/926305","url":null,"abstract":"We present an application of a modified Kalman-Filter (KF) framework for data fusion to the estimation of respiratory rate from multiple physiological sources which is robust to background noise. A novel index of the underlying signal quality of respiratory signals is presented and then used to modify the noise covariance matrix of the KF which discounts the effect of noisy data. The signal quality index, together with the KF innovation sequence, is also used to weight multiple independent estimates of the respiratory rate from independent KFs. The approach is evaluated on both a realistic artificial ECG model (with real additive noise), and on real data taken from 30 subjects with overnight polysomnograms, containing ECG, respiration and peripheral tonometry waveforms from which respiration rates were estimated. Results indicate that our automated voting system can out-perform any individual respiration rate estimation technique at all levels of noise and respiration rates exhibited in our data. We also demonstrate that even the addition of a noisier extra signal leads to an improved estimate using our framework. Moreover, our simulations demonstrate that different ECG respiration extraction techniques have different error profiles with respect to the respiration rate, and therefore a respiration rate-related modification of any fusion algorithm may be appropriate.","PeriodicalId":49203,"journal":{"name":"Eurasip Journal on Advances in Signal Processing","volume":"2010 ","pages":"926305"},"PeriodicalIF":1.9,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2010/926305","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9869529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 110