MAT2DSP is a MATLAB toolbox, currently under development, whose function is to estimate the implementation requirements of algorithms specified in the form of a MATLAB program. This toolbox is aimed at providing resea...
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ISBN:
(纸本)0780324323
MAT2DSP is a MATLAB toolbox, currently under development, whose function is to estimate the implementation requirements of algorithms specified in the form of a MATLAB program. This toolbox is aimed at providing researchers developing advancedsignal and image processingalgorithms, a quick and convenient way of estimating what would be needed to implement their algorithm on a specified processor. MAT2DSP analyzes the user program and generates reports on its computational requirements.
Fiber nonlinearities define the ultimate performance bound for optical communication systems. Todays 100 Gb/s commercial products employ advanced digital signalprocessing (DSP) algorithms, capable to adequately addre...
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Fiber nonlinearities define the ultimate performance bound for optical communication systems. Todays 100 Gb/s commercial products employ advanced digital signalprocessing (DSP) algorithms, capable to adequately address linear channel impairments, leaving fiber nonlinearity compensation (NLC) as the next logical step to improve transmission performance, and consequently diminish the need for signal regeneration. Over the last few decades, several techniques have been presented to minimize or mitigate channel nonlinearities, ranging from specialized link designs in direct-detect legacy networks to advanced DSP algorithms in coherent systems. However, specifically in the coherent age, NLC has always been perceived as an extremely complex approach, allowing insignificant gains when practical implementations are considered. In this paper, we focus on the real-world commercial use cases and complexity tradeoffs for NLC, and review several application scenarios, including homogeneous and heterogeneous networks, dispersion unmanaged and dispersion managed link infrastructures, flex-grid networks, and short reach to ultra long-haul transmission applications. We establish that in various practical use cases, NLC may enable substantial performance gains, well beyond conventionally acknowledged bounds.
In this paper we introduce a new error measure, integrated reconstruction error (IRE), the minimization of which leads to principal eigenvectors (without rotational ambiguity) of the data covariance matrix. Then we pr...
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ISBN:
(纸本)9781424404681
In this paper we introduce a new error measure, integrated reconstruction error (IRE), the minimization of which leads to principal eigenvectors (without rotational ambiguity) of the data covariance matrix. Then we present iterative algorithms for the IRE minimization, through the projection approximation. The proposed algorithm is referred to as COnstrained Projection Approximation (COPA) algorithm and its limiting case is called COPAL. We also discuss regularized algorithms, referred to as R-COPA and R-COPAL. Numerical experiments demonstrate that these algorithms successfully find exact principal eigenvectors of the data covariance matrix.
Techniques for testing EDTV and IDTV (enhanced and improved definition television) systems are examined. The utility of past practices, current requirements, and future directions for fully evaluating the complex mult...
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Techniques for testing EDTV and IDTV (enhanced and improved definition television) systems are examined. The utility of past practices, current requirements, and future directions for fully evaluating the complex multidimensional signalprocessing techniques of today's and tomorrow's television environments are discussed. Particular attention is given to the evaluation of step responses in advanced TV systems and to bandwidth measurements in the spatial-temporal frequency domains. It is noted that conventional procedures for testing and measuring the performance of television equipment are not suitable for a full evaluation of all effects which can be introduced by complex digital signalprocessing in advanced television systems. Test slides and stationary test patterns of yesterday's practices do not show any of the temporal band limitations which are imposed by some filtering techniques. More elaborate images must be developed to analyze picture sharpness and artifacts in the multidimensional spectrum of video images processed for EDTV and IDTV. Similar test patterns and sequences can also be used for evaluating some aspects of HDTV (high-definition TV) systems. The frequency domain images are useful in gaining a coherent understanding of the signalprocessingalgorithms currently being developed.< >
Wearable devices are starting to revolutionise healthcare by allowing the unobtrusive and long term monitoring of a range of body parameters. Embedding more advancedsignalprocessingalgorithms into the wearable itse...
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ISBN:
(纸本)9780992862633
Wearable devices are starting to revolutionise healthcare by allowing the unobtrusive and long term monitoring of a range of body parameters. Embedding more advancedsignalprocessingalgorithms into the wearable itself can: reduce system power consumption;increase device functionality;and enable closed-loop recording stimulation with minimal latency;amongst other benefits. The design challenge is in realising algorithms within the very limited power budgets available. Wearable algorithms are now emerging to answer this challenge. Using a new review, and examples from a case study on EEG analysis, this article overviews the state-of-the-art in wearable algorithms. It demonstrates the opportunities and challenges, highlighting the open challenge of performance assessment and measuring variability.
Orbiting satellites and other spatial vehicles have complex trajectories that can usually be precisely approximated with analytical or numerical trajectory estimation algorithms. However, some scenarios, such as LEOP ...
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Orbiting satellites and other spatial vehicles have complex trajectories that can usually be precisely approximated with analytical or numerical trajectory estimation algorithms. However, some scenarios, such as LEOP (Launch and Early Orbit Phase) or during critical manoeuvres, present greater angular uncertainty. During these, large dish antennas used for TT&C (Telemetry, Tracking & Command) may have too narrow a beamwidth to perform a reliable and fast acquisition. A novel acquisition aid system based on distributed array elements placed on the rim of the main antenna's reflector has been implemented and successfully tested with real satellite signals. This paper analyses the subjacent digital signalprocessingalgorithms required for DoA (Direction of Arrival) estimation, and shows simulations and field results which validate their performance.
Least-squares sine-fit algorithms are used extensively in signal-processing applications, The parameter estimates produced by such algorithms are subject to both random and systematic errors when the record of input s...
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Least-squares sine-fit algorithms are used extensively in signal-processing applications, The parameter estimates produced by such algorithms are subject to both random and systematic errors when the record of input samples consists of a fundamental sine wave corrupted by harmonic distortion or noise, The errors occur because, in general,such sine-fits will incorporate a portion of the harmonic distortion or noise into their estimate of the fundamental, Bounds are developed for these errors for least-squares four-parameter (amplitude, frequency, phase, and offset) sine-fit algorithms, The errors are functions of the number of periods in the record, the number of samples in the record, the harmonic order, and fundamental and harmonic amplitudes and phases, The bounds do not apply to cases in which harmonic components become aliased.
112 Gbps per wavelength, amplification free Four level Pulse Amplitude Modulation (PAM-4) transmissions are experimentally demonstrated with advanced digital signalprocessing (DSP) algorithms. Two DSP architectures a...
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112 Gbps per wavelength, amplification free Four level Pulse Amplitude Modulation (PAM-4) transmissions are experimentally demonstrated with advanced digital signalprocessing (DSP) algorithms. Two DSP architectures are investigated for Directly Modulated Lasers (DMLs): 1) the regular DSP with Feed Forward Equalization (FFE) and Decision Feedback Equalization (DFE), and 2) the enhanced DSP with Maximum Likelihood Sequence Estimation (MLSE) equalizer. The experimental results show that with advanced DSP technologies the conventional DML can achieve 40 km transmissions with Bit Error Rate (BER) under 2.4 x 10(-4) that meets RS (544, 514) Forward Error Correction (FEC) requirement;with regular-DSP the advanced DML can achieve 40 km transmissions with BER under 3.8 x 10(-3), with stronger FEC. 112 Gbps and beyond per lambda DML based transmission is a promising low power, low-cost solution for 800 GbE or 1.6 TbE Ethernet.
We use the Wigner distribution to study pulse propagation in a dispersive media and we show that it leads naturally to a particle view. Using the results obtained we develop a simple approximation method that evolves ...
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ISBN:
(纸本)0819441880
We use the Wigner distribution to study pulse propagation in a dispersive media and we show that it leads naturally to a particle view. Using the results obtained we develop a simple approximation method that evolves a pulse in time.
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