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advanced Baseband processing Circuits and Systems for 5G Communications

IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS 2017年第4期7卷 473-476页

作者： Zhang, Chuan Huang, Yuan-Hao Sheikh, Farhana Wang, Zhongfeng Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Jiangsu Peoples R China Natl Tsing Hua Univ Inst Commun Engn Dept Elect Engn Hsinchu 30013 Taiwan Intel Corp Circuit Res Lab Intel Labs Hillsboro OR 97124 USA Nanjing Univ Sch Elect Sci & Engn Nanjing 210046 Jiangsu Peoples R China

This special issue of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) aims at demonstrating the latest research progress on circuits and systems design for efficient baseband realizat... 详细信息

关键词： Special issues and sections Baseband 5G mobile communication signal processing algorithms MIMO signal processing Wireless communication

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Feature preserving lossy image compression using nonlinear PDE's

Feature preserving lossy image compression using nonlinear P...

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SPIE conference on advanced signal processing algorithms, Architectures, and Implementations VIII

作者： Chan, TF Zhou, HM Univ Calif Los Angeles Dept Math Los Angeles CA 90095 USA

ISBN: (纸本)0819429163

In this report, we propose combining the Total Variation denoising method with the high loss wavelet compression for high noise level images. Numerical experiments show that TV-denoising can bring more wavelet coefficients closer to zero thereby making the compression more efficient while the salient features (edges) of the images can still be retained.

关键词： Image compression Wavelets Denoising Tolerancing Wavelet transforms Image processing Image quality Palladium Automatic target recognition Image storage

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Aggregation kinetics of erythrocytes in whole blood: Comparison of data processing algorithms

Aggregation kinetics of erythrocytes in whole blood: Compari...

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conference on Optical Diagnostics of Biological Fluids and advanced Techniques in Analytical Cytology

作者： Priezzhev, AV Firsov, NN Ryaboshapka, OM Vyshlova, MG Moscow State Univ. (Russia) Russian State Medical Univ. (Russia)

ISBN: (纸本)0819423939

Samples of erythrocyte suspensions of normal and pathological blood were studied by light backscattering technique. This method allows to register the kinetics of the formation of erythrocyte aggregates in stasis and the disruption of large and small aggregates in shear flow of aggregated blood in a Couette chamber. The output signal proportional to backscattered light intensity was processed by different algorithms to quantitatively determine the aggregational properties of erythrocytes. We suggest that the registered time dependence of the signal representing the aggregation kinetics can be approximated as a sum of exponentials with parameters T-1 and T-2 that reflect the characteristic times of linear and clump or network aggregates formation respectively. On the other hand the hyperbolic approximation of the aggregation kinetics enables to determine the characteristic constant of the whole aggregation process. We show that the parameters obtained with both exponential and hyperbolic data processing algorithms are sensitive to the concentration of erythrocytes in blood sample, mode of scattered light detection and other factors. The advantages of each algorithm and latest results of their comparative analysis will be discussed in this paper.

关键词： Blood signal processing Data processing Scattering Light scattering Digital signal processing Detection and tracking algorithms Fiber optics Helium neon lasers Waveguides

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Quartic functions for time-frequency analysis with applications to signal adaptive kernel design

Quartic functions for time-frequency analysis with applicati...

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conference on advanced signal processing - algorithms, Architectures, and Implementations VII

作者： ONeill, JC Ecole Normale Superieure de Lyon (United States)

ISBN: (纸本)0819425842

In time-frequency analysis, we extend functions of one variable to functions of two variables. The functions of two variables provide information about the signal that is not easily discernible from the functions of one variable. In this paper, we investigate a method for creating quartic functions of three variables and also a quartic function of all four variables. These quartic functions provide a meaningful representation of the signal that goes beyond the well known quadratic functions. The quartic functions are applied to the design of signal-adaptive kernels for Cohen's class and shown to provide improvements over previous methods.

关键词： time-frequency analysis kernel design quartic functions

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Biologically Inspired Informatics;Algorithm for Discrete Data and signal processing

Biologically Inspired Informatics;Algorithm for Discrete Dat...

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IEEE/ASME International conference on advanced Intelligent Mechatronics

作者： Piros, Sandor J. Korondi, Peter Budapest Univ Technol & Econ Fac Mech Engn Dept Mechatron Opt & Engn Informat Budapest Hungary

ISBN: (纸本)9781457708398

Authors have developed an algorithm to compress logical dataset for storage and transmission purposes [1]. This paper extends the algorithm to work with discrete data sets. This algorithm could provide an economical way for handling a correlated or highly correlated discrete or quantized analog data set or signal. The mean of this algorithm is a special binary tree structure, inspired by developmental biology, the way, how a multicellular organism develops from a single cell. This observed natural process is an inverse transformation so on this base is possible to prepare a corresponding wavelet transformation method.

关键词： Finite element methods Image color analysis Organisms Prediction algorithms Wavelet transforms biocomputing biologically inspired informatics developmental biology discrete data sets highly correlated discrete data set multicellular organism quantized analog data set signal processing signal processing special binary tree structure transmission purpose trees (mathematics) wavelet transformation method wavelet transforms

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Wigner equations of motion for classical systems

Wigner equations of motion for classical systems

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conference on advanced signal processing algorithms, Architectures, and Implementations X

作者： Galeani, L Cohen, L CUNY New York NY 10021 USA

ISBN: (纸本)0819437611

We present a general procedure for obtaining equations of motion for the Wigner distribution of functions that are governed by ordinary and partial differential equations. For the case of fields we show that in general one must consider Wigner distributions of the four variables, position, momentum, time and frequency. We also show that in general one cannot write an equation of motion for position and momentum however it can be done in some cases, the Schrodinger equation being one such case. Our method leads to an equation of motion for the Schrodinger equation with time dependent potentials in contrast to the result obtained by Wigner and Moyal which was for time independent potentials.

关键词： Ordinary differential equations Partial differential equations Fourier transforms Oscillators Differential equations Acoustics Electromagnetism signal processing Switches

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Time-frequency decomposition based on information

Time-frequency decomposition based on information

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conference on advanced signal processing algorithms, Architectures, and Implementations XVI

作者： Aviyente, Selin Michigan State Univ E Lansing MI 48824 USA

ISBN: (纸本)0819463922

In array processing applications, it is desirable to extract the sources that generate the observed signals. There are various source separation and component extraction algorithms in literature including principal component analysis (PCA) and independent component analysis (ICA). However, most of these methods are not designed to deal with time-varying signals and thus are formulated in the time domain. In this paper, we introduce a new time-frequency based decomposition method using an information measure as the decomposition criteria. It is shown that under the assumption of disjoint source signals on the time-frequency plane, this method can extract the sources up to a scalar factor. Based on the QR decomposition of the mixing matrix, the source extraction algorithm is reduced to finding the optimal N-dimensional rotation of the observed time-frequency distributions. The proposed algorithm is implemented using the steepest descent approach to find the optimal rotation angle. The performance of the method is illustrated for example signals and compared to some well-known decomposition techniques.

关键词： Time-frequency analysis Independent component analysis Transform theory Principal component analysis Associative arrays Image information entropy Matrices signal processing Sensors Array processing

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advanced Results Demonstrating that Lévy Firefly Bio-Inspired algorithms Can Improve Fetal Electrocardiogram (FECG) Adaptive signal processing

Advanced Results Demonstrating that Lévy Firefly Bio-Inspir...

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Asilomar conference on signals, Systems & Computers

作者： W. K. Jenkins C. Radhakrishnan School of Electrical and Computer Engineering Pennsylvania State University University Park PA Dept. of Elec. and Comp. Engr. University of Illinois Urbana-Champaign IL

ISBN: (数字)9798350354058

ISBN: (纸本)9798350354065

Previously published results demonstrated that a sequential combination of adaptive linear prediction configuration (LPC), adaptive noise cancellation (ANC), and adaptive comb filtering (CF) can effectively remove maternal interference from noninvasive fetal ECGs. More recent research results have verified that the bio-inspired Lévy Flight Firefly Algorithm (LFFA) can be effectively applied to many different forms of linear and non-linear adaptive filter structures, including low sensitivity IIR adaptive structures that could not be used with steepest descent adaptive algorithms due to their adaptive multimodal characteristics. This paper presents results when using the LFFA algorithm in various stages of the FECG sequential combination processing.

关键词： Computers Sensitivity Adaptive systems Filtering signal processing algorithms Interference Electrocardiography Prediction algorithms Noise cancellation Optimization

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Parallel processor in space time adaptive signal processing

Parallel processor in space time adaptive signal processing

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CIE International conference on Radar

作者： Su, T Bao, Z Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Shannxi Peoples R China

ISBN: (纸本)0780370007

The massive processing volume of multichannel space time adaptive signal processing (STAP) is a great challenge to implement. The difficulties lie on intensive computation, high data communication bandwidth and complexity of processing method. Now with advanced parallel DSP modules, based on the parallel processing technique and fast algorithms, the STAP processor can be realized. The overall hardware equipment was greatly reduced to be affordable. A compact processor with better performance to cost ratio can be implemented.

关键词： fast algorithm parallel processing

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Integrated numeric and symbolic signal processing using a heterogeneous design environment 6

Integrated numeric and symbolic signal processing using a he...

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conference on advanced signal processing algorithms, Architectures, and Implementations VI

作者： Mani, R Nawab, SH Winograd, JM Evans, BL BOSTON UNIV BOSTONMA 02215

ISBN: (纸本)0819422347

We present a solution to a complex multi-tone transient detection problem to illustrate the integrated use of symbolic and numeric processing techniques which are supported by well-established underlying models. Examples of such models include synchronous dataflow for numeric processing and the blackboard paradigm for symbolic heuristic search. Our transient detection solution serves to emphasize the importance of developing system design methods and tools which can support the integrated use of well- established symbolic and numerical models of computation. Recently, we incorporated a blackboard-based model of computation underlying the Integrated processing and Understanding of signals (IPUS) paradigm into a system-level design environment for numeric processing called Ptolemy. Using the IPUS/Ptolemy environment, we are implementing our solution to the multi-tone transient detection problem.

关键词： design environments symbolic signal processing heuristic search blackboard model synchronous dataflow model Ptolemy Integrated processing and Understanding of signals (IPUS) multi-tone transient detection Adaptive Time-Frequency Representation (ATFR)

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