In the following paper, the authors propose an effective and reliable solution to the HD mapping problem. The solution is composed of relatively low-cost hardware components, if compared to the most advanced HD mappin...
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In the following paper, the authors propose an effective and reliable solution to the HD mapping problem. The solution is composed of relatively low-cost hardware components, if compared to the most advanced HD mapping solutions available on the market. The core of the solution is a robust post-processing algorithm that processes the point-cloud generated by a LiDAR, the frames collected by three cameras, the data coming from a GNSS receiver and an IMU, and the odometry data available on the car's CAN BUS. After the generation of the georeferenced point-cloud, the post processing algorithm extracts road geometries, objects and features to build HD maps. Such solution was developed and tested on our research car, and tested in Garching, near Munich, Germany. The results of the 3D mapping system are presented later, showing how the combination of low-cost technologies with a strong data fusion algorithm can provide exceptional performance.
In this paper, we propose a novel orthogonal frequency-division multiplexing (OFDM) waveform with low probability of intercept (LPI) and the corresponding synthetic aperture radar (SAR) processing algorithm. The OFDM ...
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ISBN:
(纸本)9781509060948
In this paper, we propose a novel orthogonal frequency-division multiplexing (OFDM) waveform with low probability of intercept (LPI) and the corresponding synthetic aperture radar (SAR) processing algorithm. The OFDM waveform has a random spectrum for each pulse, making it a good candidate for low probability of intercept system implementation. The SAR processing algorithm eliminates the influence of random spectrum and uses matched filtering, which has the same signal-to-noise ratio (SNR) gain as LFM signals. Simulation results illustrating the spectrogram of the proposed OFDM waveform and the algorithm's performance in 2-D SAR imaging scenarios are presented and discussed.
ultrasound Phased-Array (PA) systems for non-destructive testing (NDT) use standard beamforming for line-by-line image creation. New methods utilizing full-matrix capture (FMC) enable the application of advance proces...
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ISBN:
(纸本)9781467398985
ultrasound Phased-Array (PA) systems for non-destructive testing (NDT) use standard beamforming for line-by-line image creation. New methods utilizing full-matrix capture (FMC) enable the application of advance processing algorithms, such as the total focusing method and multi-pass adaptive techniques for enhanced flaw visualization. The effective FMC data acquisition and its real-time processing require a very high data throughput and powerful computational resources. Most commercial PA systems support some form of FMC acquisition, but the limited external data bandwidth prevents this mode of operation from being useful. We have developed a fully programmable ultrasound research system capable of performing FMC data acquisition and image reconstruction with a high framerate. The ultrasound platform is supporting up to 192 parallel TX/RX electronics channels integrated with an embedded control PC and a GPU cluster for parallel processing. The implemented software libraries give the end-user control over TX/RX schemes, the acquisition process and signal processing algorithms. This all-in-one system is a fully flexible tool for the research and evaluation of novel Phased-Array FMC imaging methods and complex signal processing algorithms.
Ultrasonic data acquisition systems used in the medical imaging and nondestructive testing applications have critical requirements in order to be capable of evaluating and prototyping ultrasound applications. In this ...
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ISBN:
(纸本)9781479988020
Ultrasonic data acquisition systems used in the medical imaging and nondestructive testing applications have critical requirements in order to be capable of evaluating and prototyping ultrasound applications. In this paper, a system-on-chip (SoC) based reconfigurable ultrasonic testing system (RUTS) is developed for implementation of high-speed ultrasonic signal processing algorithms. RUTS comprises of a fully reconfigurable analog front-end (AFE) sub-system for efficient data acquisition, and a Xilinx Zynq SoC module for dynamic feature control. Computationally intensive ultrasonic signal processing algorithms are implemented on Zynq SoC using hardware-software co-design methodologies. AFE supports up to 8 transducers for phased-array implementation. This Linux-based system is analyzed for ultrasonic data compression implementation providing a very versatile environment for further ultrasound system development and research work.
Total volatile basic nitrogen (TVB-N) content is an important index in evaluating the freshness of salted pork in jelly (SPIJ). This work attempted the nondestructive measurement of TVB-N content in the SPIJ using hyp...
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Total volatile basic nitrogen (TVB-N) content is an important index in evaluating the freshness of salted pork in jelly (SPIJ). This work attempted the nondestructive measurement of TVB-N content in the SPIJ using hyperspectral imaging (HSI) with efficient hypercube processing algorithms. Firstly, we developed a VIS-NIR HSI system for data acquisition and extracted the spectra (430-960 nm) from a 3-dimensional hypercube;then selected the efficient spectral intervals using a synergy interval PLS (Si-PLS) algorithm and further selected four dominant waveband images using a genetic algorithm (GA);next we extracted 6 characteristic variables from each dominant waveband image using texture analysis based on statistical feature calculation;finally, principal component analysis (PCA) was implemented on spectral variables and image variables, respectively. A back-propagation artificial neural network (BP-ANN) was used to achieve data fusion and construct a model for TVB-N content prediction. The optimum results were achieved with the root mean square error of prediction (RMSEP) = 6.3435 mg per 100 g and the correlation coefficient (R-p) = 0.8334 in the prediction set. This work demonstrates that HSI with an efficient hypercube processing algorithm has a high potential in nondestructive measurement of TVB-N content in SPIJ.
Meta-learning is an approach for solving the algorithm selection problem, which is how to choose the best algorithm for a certain task. This task corresponds to a dataset in machine learning and data mining. The main ...
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ISBN:
(纸本)9789526839714
Meta-learning is an approach for solving the algorithm selection problem, which is how to choose the best algorithm for a certain task. This task corresponds to a dataset in machine learning and data mining. The main challenge in meta-learning is to engineer a meta-feature description for datasets. In the paper we apply meta-learning for feature selection. We found a meta-feature set which showed the best result in predicting proper feature selection algorithms. We also suggested a novel approach to engineer meta-features for data preprocessing algorithms, which is based on estimating the best parametrization of processing algorithms on small subsamples.
In this paper, we study the effects of effective channel non-reciprocity in coordinated TDD multi-cell MIMO network based on weighted sum rate (WSR) maximization. More specifically, we focus on UE transceiver non-reci...
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ISBN:
(纸本)9781479959532
In this paper, we study the effects of effective channel non-reciprocity in coordinated TDD multi-cell MIMO network based on weighted sum rate (WSR) maximization. More specifically, we focus on UE transceiver non-reciprocity while the base stations (BS) are assumed to be perfectly calibrated, and both centralized and decentralized beamforming schemes are considered. In the centralized scheme, the cost function is constructed in a central controller using antenna specific UL pilots for channel estimation from all the connected BSs in the network. Then, even though the transceiver frequency response (FR) mismatches at the UE side corrupt the effective channel reciprocity, it is shown to have only a trivial impact on the WSR objective in such centralized case. However, when decentralized beamforming is deployed, the optimization is carried out in each BS and the corresponding cost function and optimization process depend on information acquired by over-the-air signaling between the BSs and all the users using precoded UL pilots. In this case, it is then shown that the transceiver FR mismatches at the UE side can cause severe performance degradation and even influence the convergence properties of the sum-rate optimization process. Further insight is provided for improving the performance by modifying the weight calculations in the optimization process and connecting users with good cell separations. Then a convergence-aware processing algorithm is also proposed to improve the performance of the decentralized scheme under UE transceiver non-reciprocity. Numerical experiments demonstrate that efficient processing algorithms for calibrating UE transceiver mismatches to be less than -30dB to -35dB are, in general, required in the decentralized system in order to achieve performance close to the ideal case without any RF imperfections.
The paper studies the processing method of matrix transpose in symmetric multiprocessor (SMP) parallel processing system. It proposes a two-dimensional equilibrium interleaving matrix transposition algorithm which is ...
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The paper studies the processing method of matrix transpose in symmetric multiprocessor (SMP) parallel processing system. It proposes a two-dimensional equilibrium interleaving matrix transposition algorithm which is suitable for SMP systems by analysing two factors that influence the access efficiency of DDR. The total number of active pages in processing of accessing matrix is reduced by the processing algorithm through dividing the matrix into many small matrixes which also saves a lot of expenditure of time. It is made according with the burst character of DDR by adopting the way of interleaving storage of rows and columns in pages which increases the efficiency of accessing pages' data. Test results show that the rows and columns have almost the same access bandwidth and two-dimensional average bandwidth can reach 86.7% of the theoretical bandwidth. The algorithm can solve the problem of matrix transpose in synthetic aperture radar system.
In this paper, we propose a novel adaptive reducedrank decision feedback (DF) receiver strategy based on the minimization symbol-error-rate (MSER) criterion for largescale multiple-antenna systems. In this strategy, a...
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In this paper, we propose a novel adaptive reducedrank decision feedback (DF) receiver strategy based on the minimization symbol-error-rate (MSER) criterion for largescale multiple-antenna systems. In this strategy, a reduced-rank method for general parameter estimation using an adaptive joint and iterative preprocessing, decimation and filtering (JPDF) scheme is proposed for DF receive processing. We design a pre-stored decimation matrix and develop conjugate gradient (CG) and modified conjugate gradient (MCG) algorithms for computing the parameters of the preprocessor and reduced-rank filter. A computational complexity analysis is carried out for the existing and proposed adaptive DF algorithms. Simulation results are provided and show that the proposed adaptive MSER-JPDF reduced-rank DF receive processing strategy can achieve a superior performance to conventional adaptive linear and DF receive processing algorithms.
作者：
Maravall, MiguelDiamond, Mathew E.CSIC
UMH Inst Neurociencias Alicante Sant Joan dAlacant 03550 Spain SISSA
Tactile Percept & Learning Lab Int Sch Adv Studies I-34136 Trieste Italy
Comparison of the functional organization of sensory modalities can reveal the specialized mechanisms unique to each modality as well as processing algorithms that are common across modalities. Here we examine the rod...
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Comparison of the functional organization of sensory modalities can reveal the specialized mechanisms unique to each modality as well as processing algorithms that are common across modalities. Here we examine the rodent whisker system. The whisker's mechanical properties shape the forces transmitted to specialized receptors. The sensory and motor systems are intimately interconnected, giving rise to two forms of sensation: generative and receptive. The sensory pathway is a test bed for fundamental concepts in computation and coding: hierarchical feature detection, sparseness, adaptive representations, and population coding. The central processing of signals can be considered a sequence of filters. At the level of cortex, neurons represent object features by a coordinated population code which encompasses cells with heterogeneous properties.
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