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IEEE International Conference on Robotics and Biomimetics

作者： Sheng Bi Ning Xi King Wai Chiu Lai Jing Xu Quanyong Huang Department of Mechanical and Biomedical Engineering City University of Hong Kong

Compressive sensing has opened up a new path to reconstruct images from a number of samples which is far smaller than the desired resolution of the images. A novel single pixel camera system has been developed based on this theory, and it can reconstruct images with a single optical sensing element. However, the development reminds challenge because the image recovery process is complex. For example, large amount of data is computed during the image recovery process and this make real-time processing of image become difficult. In order to improve the recovery speed, Orthogonal Matching Pursuit (OMP) algorithm for image recovery of compressive sensing are designed. However, the general OMP algorithm does not fit for digital signal processing (DSP) platform because it requires large memory allocation. In this paper, the modified OMP algorithm is introduced to improve calculation time with less memory requirement. The implementation of the algorithm on DSP device is presented and verified. Besides, the integration of the designed embedded hardware structure also increases the portability of the camera system.

关键词： Digital signal processing Cameras Matching pursuit algorithms Field programmable gate arrays SDRAM Algorithm design and analysis signal processing algorithms

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Array signal processing: Recent Accomplishments and Future Opportunities

Array Signal Processing: Recent Accomplishments and Future O...

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International Symposium on signal processing and Its Applications (ISSPA)

作者： M. Kaveh Department of Electrical Engineering University of Minnesota Minneapolis MN USA

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The 8051 microcontroller application for complex signal generating in model-based signal processing

The 8051 microcontroller application for complex signal gene...

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International Conference on CAD Systems in Microelectronics (CADSM)

作者： Volodymyr Shvaichenko Dimitry Titkov Sergy Kroshko Electronic Department National Technical University of Ukraine Kyiv Polytechnic Institute Kyiv Ukraine

In this paper methods of generating sigma-delta modulator output impulse sequence using 8051 microcontroller are given. By applying the microcontroller based system, model-based signal processing can reduce time requi... 详细信息

ISBN: (纸本)9789531841306

关键词： signal processing Microcontrollers signal generators Digital signal processing signal design Circuits Delta-sigma modulation Microprocessors signal analysis signal processing algorithms

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Comprehensive address generator for digital signal processing

Comprehensive address generator for digital Signal Processin...

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International Conference on Industrial and Information Systems, ICIIS

作者： Kini M. Ramesh David S. Sumam Department of Electronics and Communication Engineering National Institute of Technology Karnataka Surathkal INDIA

Computational efficiency of signal processing Algorithm implemented in hardware depends on efficiency of datapath, memory speed, and generation of addresses for data access. In case of signal processing applications, pattern of data access is complex in comparison with other applications. If implemented in a general purpose processor, address generation for signal processing applications will require execution of a series of instructions and use of datapath elements like adders, shifters etc. In general, considerable processor resources and time are utilized. It is desirable to execute one loop of a kernel per clock. This demands generation of typically three addresses per clock: two addresses for data sample/coefficient and one for storage of processed data. A set of dedicated, efficient Address Generator Units (AGU) will definitely enhance the performance. This paper focuses on design and implementation of Address Generators for complex addressing modes required by Multimedia signal processing algorithms. Among other addressing modes, a novel algorithm is developed for accessing data in a Bit-Reversed order for Fast Fourier Transforms (FFT), and Zig-zag order for Discrete Cosine Transforms (DCT). When mapped to hardware, this scales linearly in gate complexity with increase in the size and uses less components.

关键词： signal generators Digital signal processing signal processing algorithms Hardware Clocks Discrete cosine transforms Computational efficiency Kernel signal design Algorithm design and analysis

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Evaluation measures for adaptive PLI filters in ECG signal processing

Evaluation measures for adaptive PLI filters in ECG signal p...

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Computers in Cardiology (CinC)

作者： F.C. Chang C.K. Chang K.Y. Chi Y.D. Lin Graduate Institute of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Department of Automatic Control Engineering Feng Chia University Taichung Taiwan

Many studies have been devoted to the adaptive power-line interference (PLI) filter design for ECG signal processing. However, almost all existing PLI suppression filters are developed for applications in which the presence of PLI noise is assumed a priori. Indiscriminate application of PLI suppression over an ECG signal that is free of PLI noise may deform ECG morphology, and even cause degraded performance of subsequent processing. To date, little work has been done on the possibility of ECG signal degradation by such filtering operation and the impact on further processing. In order to evaluate the difference between the original and the filtered pattern, this study proposes quantitative evaluation measures. The assessments include convergence time, the frequency tracking efficiency, the execution time and the relative statistics in time and frequency domain. Extensive experiments have been done with artificially and practically corrupted ECG signals for four existing PLI adaptive filtering techniques (Ahlstrom and Tompkinspsila, Pei and Tsengpsilas, Sopsilas and Ziarani and Konradpsilas algorithm). The results reveal that ECG signal distortion resulted from these existing adaptive filters. None of the existing algorithms outperform the others in all assessments. The proposed evaluation measures can also be used for the performance evaluation of the other types of artifact suppression, such as the baseline wander and EMG corruption contaminated in ECG, after minor modification. The proposed measures also make the optimal filter design under different constraints possible for ECG signal processing.

关键词： Adaptive filters Electrocardiography Adaptive signal processing Pollution measurement signal processing signal design Degradation signal processing algorithms Interference Morphology

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On the Convergence of Nested Decentralized Gradient Methods With Multiple Consensus and Gradient Steps

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IEEE TRANSACTIONS ON signal processing 2021年 69卷 4192-4203页

作者： Berahas, Albert S. Bollapragada, Raghu Wei, Ermin Univ Michigan Dept Ind & Operat Engn Ann Arbor MI 48019 USA Univ Texas Austin Operat Res & Ind Engn Program Austin TX 78712 USA Northwestern Univ Dept Ind Engn Management Sci Dept Elect & Comp Engn Evanston IL 60208 USA

In this paper, we consider minimizing a sum of local convex objective functions in a distributed setting, where the cost of communication and/or computation can be expensive. We extend and generalize the analysis for a class of nested gradient-based distributed algorithms [NEAR-DGD, (Berahas et al., 2019)] to account for multiple gradient steps at every iteration. We show the effect of performing multiple gradient steps on the rate of convergence and on the size of the neighborhood of convergence, and prove R-Linear convergence to the exact solution with a fixed number of gradient steps and increasing number of consensus steps. We test the performance of the generalized method on quadratic functions and show the effect of multiple consensus and gradient steps in terms of iterations, number of gradient evaluations, number of communications and cost.

关键词： Convergence Optimization Linear programming signal processing algorithms Symmetric matrices Eigenvalues and eigenfunctions Convex functions Distributed optimization communication optimization algorithms network optimization

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Visual Domain Adaptation

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IEEE signal processing MAGAZINE 2015年第3期32卷 53-69页

作者： Patel, Vishal M. Gopalan, Raghuraman Li, Ruonan Chellappa, Rama Harvard Univ Cambridge MA 02138 USA Univ Maryland UMD Engn College Pk MD USA Univ Maryland UMD Elect & Commun Engn Dept College Pk MD USA Int Assoc Pattern Recognit Adelaide SA Australia Opt Soc Amer Washington DC USA Amer Assoc Advancement Sci Cambridge MA USA Assoc Comp Machinery New York NY USA

In pattern recognition and computer vision, one is often faced with scenarios where the training data used to learn a model have different distribution from the data on which the model is applied. Regardless of the cause, any distributional change that occurs after learning a classifier can degrade its performance at test time. Domain adaptation tries to mitigate this degradation. In this article, we provide a survey of domain adaptation methods for visual recognition. We discuss the merits and drawbacks of existing domain adaptation approaches and identify promising avenues for research in this rapidly evolving field.

关键词： Semisupervised learning Classification algorithms Pattern recognition Visualization signal processing algorithms Computer vision Training data

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Internet tomography

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IEEE signal processing MAGAZINE 2002年第3期19卷 47-65页

作者： Coates, M Hero, AO Nowak, R Yu, B Univ Michigan Dept Elect Engn & Comp Sci Ann Arbor MI 48109 USA Univ Michigan Dept Biomed Engn Ann Arbor MI 48109 USA Univ Michigan Dept Stat Ann Arbor MI 48109 USA Rice Univ Houston TX 77251 USA Univ Calif Berkeley Berkeley CA 94720 USA

Today's Internet is a massive, distributed network which continues to explode in size as e-commerce and related activities grow. The heterogeneous and largely unregulated structure of the Internet renders tasks such as dynamic routing, optimized service provision, service-level verification, and detection of anomalous/malicious behavior increasingly challenging tasks. The problem is compounded by the fact that one cannot rely on the cooperation of individual servers and routers to aid in the collection of network traffic measurements vital for these tasks. In many ways, network monitoring and inference problems bear a strong resemblance to other "inverse problems" in which key aspects of a system are not directly observable. Familiar signal processing problems such as tomographic image reconstruction, system identification, and array processing all have interesting interpretations in the networking context. This article introduces the new field of network tomography, a field which we believe will benefit greatly from the wealth of signal processing theory and algorithms

关键词： Tomography signal processing algorithms Array signal processing IP networks Web and internet services Routing Network servers Web server Telecommunication traffic Monitoring

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Statistical analysis and spectral estimation techniques for one-dimensional chaotic signals

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IEEE TRANSACTIONS ON signal processing 1997年第6期45卷 1495-1506页

作者： Isabelle, SH Wornell, GW MIT ELECT RES LABCAMBRIDGEMA 02139

signals arising out of nonlinear dynamics are compelling models for a wide range of both natural and man-made phenomena, In contrast to signals arising out of linear dynamics, extremely rich behavior is obtained even when we restrict our attention to one-dimensional (1-D) chaotic systems with certain smoothness constraints. An important class of such systems are the so-called Markov maps. We develop several properties of signals obtained from Markov maps and present analytical techniques for computing a broad class of their statistics in closed form, These statistics include, for example, correlations of arbitrary order and all moments of such signals, Among several results, we demonstrate that all Markov maps produce signals with rational spectra, and we can therefore view the associated signals as ''chaotic ARMA processes,'' with ''chaotic white noise'' as a special case, Finally, we also demonstrate how Markov maps can be used to approximate to arbitrary accuracy the statistics any of a broad class of non-Markov chaotic maps.

关键词： Statistical analysis Chaos signal processing signal analysis State-space methods Statistics signal processing algorithms Power system modeling Analog-digital conversion signal generators

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AUTOMATIC VIEWING RANGE TRACING METHOD FOR COMMUNICATION EQUIPMENT

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 1991年第3期37卷 424-432页

作者： YAMAMOTO, K TSUKADA, H MIZUKOSHI, H NIPPON TELEGRAPH & TEL PUBL CORP ELECT COMMUN LAB TOKYO 100 JAPAN NIPPON TELEGRAPH & TEL PUBL CORP DIV DATA COMMUN TOKYO 100 JAPAN

It is becoming very important to improve face-to-face telecommunication using video telephone sets or video conference equipment by further developing telecommunication technology. Towards this end, an automatic viewing range tracing (AVRT) feature, through which the field of vision automatically traces the person in front of a camera, has been developed for still picture video telephone sets, video doorphones etc.. A new algorithm and LSI have been developed to achieve this feature, and a video doorphone adopting this new feature has been achieved.

关键词： Communication equipment Videoconference signal processing algorithms signal processing Telephony Humans Infrared image sensors Cameras Charge-coupled image sensors Large scale integration

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