2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)最新文献

Parametric spectral signal restoration via maximum entropy constraint and its application 基于最大熵约束的参数谱信号复原及其应用

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369579

Hai Liu, Zhaoli Zhang, Sanya Liu, Jiangbo Shu, Tingting Liu

引用次数: 3

Using the IPython notebook as the computing platform for signals and systems courses 使用IPython笔记本作为信号与系统课程的计算平台

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369568

McKenna R. Lovejoy, M. Wickert

{"title":"Using the IPython notebook as the computing platform for signals and systems courses","authors":"McKenna R. Lovejoy, M. Wickert","doi":"10.1109/DSP-SPE.2015.7369568","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369568","url":null,"abstract":"The use of open-source Python as opposed to traditional computing platforms such MATLAB, Mathematica, and C/C++, is becoming more and more noticeable as all forms of opensource software develop. The Python user community itself is very vibrant, but what really stands out for those of us in signals and systems, is what is happening in the numerical computing side of Python. This paper will describe how in particular, the IPython notebook can be used as an analysis and simulation tool for teaching signals and systems courses. Specific code modules have been developed to augment existing Python code contained in the scipy.signal module. Case studies will be used to demonstrate the capabilities of the IPython notebook to augment lecture material with live calculations and simulations. Additionally, examples of how the IPython notebook has been successfully used by students for homework problems, computer projects and lab reports will be illustrated. Both student and industry team members in subcontract work, have responded favorably to the use of Python as an engineering problem solving platform.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"120 1","pages":"289-294"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78502971","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: 8

Evaluating the performance of max current AC-DCT based colored digital image fusion for Visual Sensor Network's 基于最大电流AC-DCT的视觉传感器网络彩色数字图像融合性能评价

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369587

Arun Begill, Shruti Puniani, Kamaljot Singh, Navjot Kaur

引用次数: 0

Subspace smearing and interference mitigation with array radio telescopes 阵列射电望远镜的子空间涂抹和干扰缓解

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369566

G. Hellbourg

引用次数: 10

Hands-on software defined radio experiments with the low-cost RTL-SDR dongle 动手软件定义无线电实验与低成本的RTL-SDR加密狗

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369529

M. Wickert, McKenna R. Lovejoy

{"title":"Hands-on software defined radio experiments with the low-cost RTL-SDR dongle","authors":"M. Wickert, McKenna R. Lovejoy","doi":"10.1109/DSP-SPE.2015.7369529","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369529","url":null,"abstract":"Software defined radio (SDR) is an exciting merger of digital signal processing and wideband radio hardware. The term SDR came into more common usage in 1992 by Dr. Joe Mitola, but actually had its beginnings back in 1984 at E-Systems. The ideal SDR receiver consists of an antenna connected to an analog-to-digital converter (ADC) followed by a digital signal processing system (DSPS) to extract the signal of interest. Low-cost, as in $20, SDR receivers originally designed for digital video broadcasting, have been available for several years. Giving undergraduate students hands-on experience in this area is needed. In this paper we describe the details of an SDR laboratory experiment for students in a first semester communications theory course. Complete open-source SDR receiver software is used to get started, then coding of DSP algorithms is explored to process captured radio signals generated using test equipment and then actual over-the-air broadcasts. Being able to write code to process live signals and then see and hear the results really connects with the students. Both Matlab and Python support code libraries are available.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"45 5","pages":"65-70"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91420062","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: 15

Memory efficient spectral estimation on parallel computing architectures 基于并行计算架构的内存高效频谱估计

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369576

M. Barjenbruch, Franz Gritschneder, K. Dietmayer, J. Klappstein, J. Dickmann

引用次数: 1

The performance limit for distributed Bayesian estimation with identical one-bit quantizers 具有相同位量化器的分布式贝叶斯估计的性能限制

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369521

Xia Li, Jun-hai Guo, Hao Chen, U. Rogers

{"title":"The performance limit for distributed Bayesian estimation with identical one-bit quantizers","authors":"Xia Li, Jun-hai Guo, Hao Chen, U. Rogers","doi":"10.1109/DSP-SPE.2015.7369521","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369521","url":null,"abstract":"In this paper, a performance limit is derived for a distributed Bayesian parameter estimation problem in sensor networks where the prior probability density function of the parameter is known. The sensor observations are assumed conditionally independent and identically distributed given the parameter to be estimated, and the sensors employ independent and identical quantizers. The performance limit is established in terms of the best possible asymptotic performance that a distributed estimation scheme can achieve for all possible sensor observation models. This performance limit is obtained by deriving the optimal probabilistic quantizer under the ideal setting, where the sensors observe the parameter directly without any noise or distortion. With a uniform prior, the derived Bayesian performance limit and the associated quantizer are the same as the previous developed performance limit and quantizers under the minimax framework, where the parameter is assumed to be fixed but unknown. This proposed performance limit under distributed Bayesian setting is compared against a widely used performance bound that is based on full-precision sensor observations. This comparison shows that the performance limit derived in this paper is comparatively much tighter in most meaningful signalto- noise ratio (SNR) regions. Moreover, unlike the unquantized observations performance limit which can never be achieved, this performance limit can be achieved under certain noise observation models.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"1 1","pages":"19-24"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90971640","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: 4

Relay misbehavior detection for robust diversity combining in cooperative communications 协作通信中鲁棒分集组合中继错误行为检测

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369550

Tsang-Yi Wang, Po-Heng Chou, Wan-Jen Huang

引用次数: 0

ON THE BLOCK-SPARSITY OF MULTIPLE-MEASUREMENT VECTORS. 多测量向量的块稀疏性。

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369556

Mohammad Shekaramiz, Todd K Moon, Jacob H Gunther

引用次数: 7

Adaptive likelihood codebook reordering vector quantization for 1-D data sources 一维数据源的自适应似然码本重排序矢量量化

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369536

Chu Meh Chu, Nathan V. Parrish, David V. Anderson

引用次数: 1