2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)最新文献_第4页

Tail shortening by virtual symbols in FBMC-OQAM signals FBMC-OQAM信号中虚拟符号缩尾的研究

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369545

Fang Wang, Daiming Qu, Tao Jiang, B. Farhang-Boroujeny

引用次数: 8

A comparative study of commuting matrix approaches for the discrete fractional fourier transform 离散分数阶傅里叶变换交换矩阵方法的比较研究

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369518

I. Bhatta, Balu Santhanam

{"title":"A comparative study of commuting matrix approaches for the discrete fractional fourier transform","authors":"I. Bhatta, Balu Santhanam","doi":"10.1109/DSP-SPE.2015.7369518","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369518","url":null,"abstract":"As an extension of the conventional Fourier transform and as a time-frequency signal analysis tool, the fractional Fourier transforms (FRFT) are suitable for dealing with various types of non-stationary signals. Computation of the discrete fractional Fourier transform (DFRFT) and its chirp concentration properties are both dependent on the basis of DFT eigenvectors used in the computation. Several DFT-eigenvector bases have been proposed for the computation of transform, and there is no common framework for comparing them. In this paper, we compare several different approaches from a conceptual viewpoint and review the differences between them. We discuss five different approaches to find centered-DFT (CDFT) commuting matrices and the various properties of these commuting matrices. We study the properties of the eigenvalues and eigenvectors of these commuting matrices to determine whether they resemble those of corresponding continuous Gauss-Hermite operator. We also measure the performance of these five approaches in terms of: mailobe-to-sidelobe ratio, 10-dB bandwidth, quality factor, linearity of eigenvalues, chirp parameter estimation error, and, finally the peak-to-parameter mapping regions. We compare the five approaches using these performance metrics and point out that the modified QMFD approach produces the best results in terms of bandwidth of the spectral peak for a chirp, invertibility of the peak-parameter mapping, linearity of the eigenvalue spectrum and chirp parameter estimation errors.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"34 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78478706","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

Teaching digital signal processing with Stanford's Lab-in-a-Box 使用斯坦福实验室进行数字信号处理教学

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369571

Fernando A. Mujica, William J. Esposito, Alex Gonzalez, C. Qi, C. Vassos, M. Wieman, Reggie Wilcox, G. Kovacs, R. Schafer

引用次数: 11

Direction finding and localization for far-field sources with near-field multipath reflections 近场多径反射远场光源测向与定位

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369540

A. Elbir, T. E. Tuncer

引用次数: 3

Using the ARM Cortex-M4 and the CMSIS-DSP library for teaching real-time DSP 采用ARM Cortex-M4和CMSIS-DSP库进行实时DSP教学

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369567

M. Wickert

{"title":"Using the ARM Cortex-M4 and the CMSIS-DSP library for teaching real-time DSP","authors":"M. Wickert","doi":"10.1109/DSP-SPE.2015.7369567","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369567","url":null,"abstract":"In this paper we describe experiences working with the Cortex-M4 microcontroller in a graduate/senior elective real-time DSP course. Previously the same course used dedicated DSP processors, but the invitation from the ARM University Program to try out a new Lab-in-a-box (LiB) kit for teaching real-time DSP was intriguing. The hardware is inexpensive, costing only $50, thus allowing students to buy their own boards. The LiB comes with teaching materials, but beyond the use of the audio codec software library, essentially all of this new course was developed by rewriting teaching materials from a previous course, and making extensive changes to adapt to the new software and hardware. Of particular interest is CMSIS-DSP, the Cortex-M Software Interface Standard (CMSIS) DSP library, which contains over 60 DSP algorithms in both fixed-point and floating-point. By using this library students become familiar with the Misra C coding standard, and software re-use. Developing algorithms in C from scratch is still needed and encouraged. When writing a custom filter algorithm for example, the students can benchmark against one or more CMSIS-DSP library algorithms. The Digilent Analog™Discovery PC-based instrumentation and the use of IPython notebook were also added into the new course.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"80 6 1","pages":"283-288"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83872224","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

Reduced dimensionality, information rich visual representations for scene classification 降维、信息丰富的视觉表示，用于场景分类

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369525

Kaveri A. Thakoor

{"title":"Reduced dimensionality, information rich visual representations for scene classification","authors":"Kaveri A. Thakoor","doi":"10.1109/DSP-SPE.2015.7369525","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369525","url":null,"abstract":"We present a reduced dimensionality, information rich (RDIR) visual representation for scene information that distills the most distinguishing elements in an image, enabling scene classification by humans and computers under reduced dimensionality conditions. The representation utilizes the Gist model [1] to convey scene information in low bandwidth conditions, exhibiting enhanced classification performance for humans and computers compared to the current downsampling method used by the Retinal Prosthesis System [2], which restores partial vision for people without sight. We show that as few as 6-pixel, 3-bit images are sufficient for successful classification by humans of 4 classes within the Natural Scene Dataset [3]. Human and computer classification accuracy on RDIR scenes is consistently higher than that on downsampled (DS) (spatially averaged) scenes. While DS scenes may seem more intuitive to interpret since spatial layout is preserved in them, we show that the dimensionality reduction via Principal Components Analysis (PCA) following Gist processing enables distinguishability for 6-dimensional RDIR images. We conduct a short trade-off study for human learning vs. SVM classification and conclude with application of the RDIR technique to classification of 6 locations on the University of Southern California (USC) campus.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"59 1","pages":"43-48"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83876488","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

Source localization with sparse recovery for coherent far- and near-field signals 相干远场和近场信号稀疏恢复的源定位

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369539

A. Elbir, T. E. Tuncer

引用次数: 3

Sparse recovery using an SVD approach to interference removal and parameter estimation 稀疏恢复采用SVD方法进行干扰去除和参数估计

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369553

C. Hayes, J. McClellan, W. Scott

引用次数: 5

Practical insights on full-duplex personal wireless communications gained from operational experience in the satellite environment 从卫星环境的操作经验中获得的全双工个人无线通信的实际见解

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369541

G. Collins, J. Treichler

引用次数: 9

Image loss concealment using edge-guided interpolation and multi-scale transformation 基于边缘引导插值和多尺度变换的图像损失隐藏

2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369586

Bahareh Langari, J. Stonham, A. Mousavi

引用次数: 1