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Learning anomalous features via sparse coding using matrix norms 通过使用矩阵规范的稀疏编码学习异常特征
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369552
Bradley M. Whitaker, David V. Anderson
{"title":"Learning anomalous features via sparse coding using matrix norms","authors":"Bradley M. Whitaker, David V. Anderson","doi":"10.1109/DSP-SPE.2015.7369552","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369552","url":null,"abstract":"Our goal is to find anomalous features in a dataset using the sparse coding concept of dictionary learning. Rather than using the averaged column ℓ2-norm for the dictionary update as is typically done in sparse coding, we explore using three matrix norms: ∥·∥1, ∥·∥2, and ∥·∥∞. Minimizing the matrix norms represents minimizing a maximum deviation in the reconstruction error rather than an average deviation, hopefully allowing us to find features that contribute significantly but infrequently to sample training points. We find that while solving for the dictionaries using matrix norm minimization takes longer to compute, all three methods are able to recover a known basis from a simple set of training data. In addition, the ∥·∥1 matrix norm is able to recover a known anomalous feature in the training data that the other norms (including the standard averaged ℓ2-norm) are unable to find.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"2 1","pages":"196-201"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91184101","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
Face recognition in vehicles with near infrared frame differencing 基于近红外帧差的车辆人脸识别
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369580
Jinwoo Kang, David V. Anderson, M. Hayes
{"title":"Face recognition in vehicles with near infrared frame differencing","authors":"Jinwoo Kang, David V. Anderson, M. Hayes","doi":"10.1109/DSP-SPE.2015.7369580","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369580","url":null,"abstract":"Variations in illumination negatively impacts the performance of most face recognition systems. This is substantially exacerbated when the illumination on a face exhibits strong shadows or other anomalies. This paper describes a system of practical technologies to implement an illumination robust, consumer grade biometric system based on face recognition to be used in the automotive market. It addresses the challenging outdoor environments in which driver identification is expected to operate. The point of this research is to investigate practical face recognition used for identity management in order to minimize algorithmic complexity while making the system robust to ambient illumination changes. First, we present a frame differencing method with an active near-infrared illumination control that produces images independent of the ambient illumination. Second, end-to-end face recognition system is presented including motion detection, face detection and face recognition modules. And it is shown that the frame differencing method makes the modules more robust to the ambient illumination variation. Vehicular application videos were taken in extremely challenging outdoor illumination and shadowing conditions and used to test each module. Finally, extensive test results of vehicular scenario are provided to evaluate the end-to-end systems.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"38 1","pages":"358-363"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90612948","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: 3
Wideband-FM demodulation for large wideband to narrowband conversion factors via multirate frequency transformations 宽带调频解调大宽带窄带转换因子通过多速率频率变换
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369519
Wenjing Liu, Balu Santhanam
{"title":"Wideband-FM demodulation for large wideband to narrowband conversion factors via multirate frequency transformations","authors":"Wenjing Liu, Balu Santhanam","doi":"10.1109/DSP-SPE.2015.7369519","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369519","url":null,"abstract":"Existing approaches for wideband FM demodulation are based on negative feedback, frequency tracking or multirate signal processing and heterodyning. Prior work that utilizes multirate frequency transformations for wideband-FM demodulation is impractical for large wideband to narrowband conversion factors such as those needed in DRFM systems. In this paper, we present a frequency transformation approach to wideband FM demodulation, using multirate systems, that can accommodate large conversion factors.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"534 1","pages":"7-12"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72937885","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: 6
Real-time rate-adaptable coding for fading channels 衰落信道的实时速率自适应编码
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369544
Sam Schmidt, Willie K. Harrison
{"title":"Real-time rate-adaptable coding for fading channels","authors":"Sam Schmidt, Willie K. Harrison","doi":"10.1109/DSP-SPE.2015.7369544","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369544","url":null,"abstract":"In this paper, a new adaptive-rate convolutional coding system for maximizing the throughput over slowly fading channels is presented. The scheme is capable of adapting on the fly to fading conditions without the delay inherent in ARQ-based adaptive-rate strategies. The system employs a bank of encoders, and the current encoder is selected as a function of the channel state information obtained through a periodically transmitted feedback training sequence. This scheme does not require rate compatibility in the code bank, and can therefore make use of the best-known codes of any rates with arbitrary constraint lengths. At the receiver, an innovative decoding method based on the well-known Viterbi algorithm is employed. Knowledge of the encoder choices is not required at the decoder due to its ability to seamlessly track encoder transitions through an expanded Viterbi trellis. The system provides a hassle-free solution to achieving high-rate communications over fading channels.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"51 1","pages":"151-156"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85224511","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
Eigen-gap of structure transition matrix: A new criterion for Image Quality Assessment 结构转移矩阵的特征间隙:一种新的图像质量评价准则
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369582
M. Joneidi, M. Rahmani, H. Golestani, M. Ghanbari
{"title":"Eigen-gap of structure transition matrix: A new criterion for Image Quality Assessment","authors":"M. Joneidi, M. Rahmani, H. Golestani, M. Ghanbari","doi":"10.1109/DSP-SPE.2015.7369582","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369582","url":null,"abstract":"A new approach to Image Quality Assessment (IQA) is presented. The idea is based on the fact that two images are similar if their structural relationship within their blocks is preserved. To this end, a transition matrix is defined which exploits structural transitions between corresponding blocks of two images. The matrix contains valuable information about differences of two images, which should be transformed to a quality index. Eigen-value analysis over the transition matrix leads to a new distance measure called Eigen-gap. According to simulation results, the Eigen-gap is not only highly correlated to subjective scores but also, its performance is as good as the SSIM, a trustworthy index.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"92 2 1","pages":"370-375"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90982257","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
Doubly weighted DFT-based feedback codebook design for orthogonal space-time block codes 正交空时分组码的双加权dft反馈码本设计
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369542
Juinn-Horng Deng, Sheng-Yang Huang, Jeng-Kuang Hwang
{"title":"Doubly weighted DFT-based feedback codebook design for orthogonal space-time block codes","authors":"Juinn-Horng Deng, Sheng-Yang Huang, Jeng-Kuang Hwang","doi":"10.1109/DSP-SPE.2015.7369542","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369542","url":null,"abstract":"A doubly weighted DFT-based feedback codebook design for systems using linear precoding scheme and orthogonal space-time block codes (OSTBCs) is proposed. The proposed codebook design employs a two-stage phase-amplitude weighting of the DFT codewords, which can be better to match the channel state information (CSI) than that using phase-weighting only [1]. With the same amount of feedback bits, say 10 bits (1024 possible codewords), our codebook design can not only save a lot of codeword searching operations (80 vs 1024), but also achieve a precoding performance more close to the optimal scheme with full CSI feedback. The simulation results demonstrate that the proposed scheme is superior to the existing codebook design schemes in terms of both BER performance and computational complexity.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"20 1","pages":"142-145"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80001230","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
Temperature emissivity separation: Estimation with a parameter affecting both the mean and variance of the observation 温度发射率分离:使用影响观测值均值和方差的参数进行估计
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369584
T. Moon, D. A. Neal, J. Gunther, G. Williams
{"title":"Temperature emissivity separation: Estimation with a parameter affecting both the mean and variance of the observation","authors":"T. Moon, D. A. Neal, J. Gunther, G. Williams","doi":"10.1109/DSP-SPE.2015.7369584","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369584","url":null,"abstract":"We consider a model for temperature-emissivity separation (TES) in hyperspectral image processing. The emissivity is modulated by both the black body function and the atmospheric downwelling. The interaction has made it difficult to extract both temperature and emissivity, since offsets in one can be compensated by the other. Working with only a single wavelength component, we propose here a model in which the downwelling is considered as a random variable (or vector). The emissivity thus contributes to both the variance and mean of the observations. This leads to a maximum likelihood estimator for the emissivity. We compute an expression for the bias of this estimator, and show how it can be used to produce an unbiased estimator. An estimator for the temperature is also given. These two estimators can be used iteratively, providing separation of the temperature and emissivity components.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"22 1","pages":"380-384"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87136674","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: 3
An autoregressive model for a single-hop relay channel 单跳中继信道的自回归模型
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369546
T. Ghirmai
{"title":"An autoregressive model for a single-hop relay channel","authors":"T. Ghirmai","doi":"10.1109/DSP-SPE.2015.7369546","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369546","url":null,"abstract":"In this paper, we developed a mathematical model for a single-hop relay-based communication channel. Assuming the transmitter-to-relay and receiver-to-relay channels are non-line-of-sight flat fading channels, we show that the real and imaginary components of the combined single channel have Laplace probability density functions. We, therefore, develop a complex Laplace autoregressive process (AR) that captures the statistical characteristics of the fading process of the relay channel. Such an AR model makes channel simulations simple, and eases formulation of such problems as data detection in a state-space form for convenient application of well-known algorithms. Furthermore, the autocorrelation of the developed Laplace AR model has Yule-Walker type of properties that enables us to configure its parameters to match to the second-order statistical characteristics of the channel through autocorrelation matching. The derivation of the channel model is illustrated through an example and computer simulations.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"39 1","pages":"162-166"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88520197","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
Spectral analysis of stock-return volatility, correlation, and beta 股票收益波动性、相关性和beta的频谱分析
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369558
Shomesh E. Chaudhuri, A. Lo
{"title":"Spectral analysis of stock-return volatility, correlation, and beta","authors":"Shomesh E. Chaudhuri, A. Lo","doi":"10.1109/DSP-SPE.2015.7369558","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369558","url":null,"abstract":"We apply spectral techniques to analyze the volatility and correlation of U.S. common-stock returns across multiple time horizons at the aggregate-market and individual-firm level. Using the cross-periodogram to construct frequency band-limited measures of variance, correlation and beta, we find that volatilities and correlations change not only in magnitude over time, but also in frequency. Factors that may be responsible for these trends are proposed and their implications for portfolio construction are explored.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"34 1","pages":"232-236"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77521026","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: 18
Coherent combination of signals from diverse sensors 来自不同传感器的信号的相干组合
2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE) Pub Date : 2015-08-01 DOI: 10.1109/DSP-SPE.2015.7369538
T. Moon, McKay E. Bonham, J. Gunther, G. Williams
{"title":"Coherent combination of signals from diverse sensors","authors":"T. Moon, McKay E. Bonham, J. Gunther, G. Williams","doi":"10.1109/DSP-SPE.2015.7369538","DOIUrl":"https://doi.org/10.1109/DSP-SPE.2015.7369538","url":null,"abstract":"We consider a the problem of coherently combining signals having several sinusoidal components as measured via multiple sensors, in which each sensor has its own transfer function. It is desirable to combine the sensor outputs to improve the signal-to-noise ratio, but simply co-adding the signals could result in signal cancellation, due to phase changes in the sensors. We propose here a combining architecture which blindly adjusts the phases of the signals to maximize signal output. Different combining filters are considered: an allpass filter, and FIR filters designed according to a maximum SNR and minimum mean-squared error constraint. The allpass filters are trained both via steepest ascent and simplex optimization. The allpass combining filters provide excellent SNR improvement, while preserving all the frequency components.","PeriodicalId":91992,"journal":{"name":"2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE)","volume":"1 1","pages":"118-123"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90047189","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
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