In this work we show a study about which processes are related to chaotic and synchronized neural states based on the study of in-silico implementation of Stochastic Spiking Neural Networks (SSNN). Chaotic neural ense...
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This paper proposes a weighted least-squares (WLS) method for designing variable one-dimensional (1-D) FIR digital filters with simultaneously variable magnitude and variable non-integer phase-delay responses. First, ...
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ISBN:
(纸本)5742202601
This paper proposes a weighted least-squares (WLS) method for designing variable one-dimensional (1-D) FIR digital filters with simultaneously variable magnitude and variable non-integer phase-delay responses. First, the coefficients of a variable FIR filter Are represented as the two-dimensional (2-D) polynomials of a pair of spectral parameters;one is for tuning the magnitude response, and the other is for varying its non-integer phase-delay response. Then the optimal coefficients of the 2-D polynomials are found by minimizing the total weighted squared error of the variable frequency response. Finally, we show that the resulting variable FIR filter can be implemented in a parallel form, which is suitable for high-speed signalprocessing.
A novel space-time array processing strategy for adaptive airborne MTI radar is presented via the application of a multichannel least squares predictive transform (PT) signal modeling procedure. The crux of the techni...
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This article describes the development, implementation, and demonstration of a real-time laboratory platform for use in an undergraduate laboratory control course. The design, analysis, and implementation stages are c...
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The joint design of beamforming vector and artificial noise covariance matrix is investigated for multiple-input-singleoutput-multiple-eavesdropper simultaneous wireless information and power transferring (MISOME-SWIP...
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ISBN:
(纸本)9781538647271
The joint design of beamforming vector and artificial noise covariance matrix is investigated for multiple-input-singleoutput-multiple-eavesdropper simultaneous wireless information and power transferring (MISOME-SWIPT) systems. A secrecy energy efficiency (SEE) maximization problem is formulated in the MISOME-SWIPT system with imperfect channel state information and proportional secrecy rate constraints. Since the formulated SEE maximization problem is non-convex, it is first recast into a series of convex problems in order to obtain the optimal solution with a reasonable computational complexity. Numerical results are used to verify the performance of the proposed algorithm and to reveal practical insights.
The design of future Earth imaging systems, the optimization of fundamental instrument parameters, and the development and evaluation of data pre-processing and scientific-exploitation algorithms require an accurate e...
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The design of future Earth imaging systems, the optimization of fundamental instrument parameters, and the development and evaluation of data pre-processing and scientific-exploitation algorithms require an accurate end-to-end simulation of the entire image generation and processing chain. For this purpose, the end-to-end simulation software EeteS has been developed within the framework of the Environmental Mapping and Analysis Program (EnMAP) mission. This paper presents the EeteS simulation approach and software implementation focusing on calibration and pre-processing. The sequential processing chain of the EnMAP scene simulator consists of four independent parts-the atmospheric, spatial, spectral and radiometric modules. This forward simulator is coupled with a backward simulation branch consisting of calibration modules (non-linearity, dark current and absolute radiometric calibration) and a series of pre-processing modules (radiometric calibration, co-registration, atmospheric correction and orthorectification) forming the complete end-to-end simulation tool. In the result EeteS is capable of simulating EnMAP-like raw image scenes (L0) taking into account a variety of instrumental and environmental configurations. Furthermore, EeteS allows simulations of EnMAP reflectance images carrying out the complete L1 and L2 processing chains. Analysis of the intermediate and final EeteS simulation products has shown the accurate, reliable and consistent performance of the developed modules enabling the system to support technical decision-making processes required for the development of the EnMAP sensor. EeteS has also been used to estimate the SNR characteristics of potential EnMAP products after calibration and pre-processing. Comparing the results to SNR characteristics achieved by the already existing EO-1 Hyperion system has shown a significantly improved SNR which can be expected from future EnMAP data products.
Due to continuous hardware/software evolution related to systems-on-Chip (SoC) and the addition of features such as Partial Dynamic Reconfiguration, the complexity of SoC design and development has escalated exponenti...
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The relaxed half-stochastic (RHS) algorithm is a recently proposed binary message-passing decoding algorithm for low-density parity check codes that can reach the same error rate performance as belief propagation algo...
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Hough Transform is a widely used shapebased algorithm for object detection and localization [6], this technique can be generalized to parametric curves as circles. For a real time execution and embedded integration, s...
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ISBN:
(纸本)9781538682371
Hough Transform is a widely used shapebased algorithm for object detection and localization [6], this technique can be generalized to parametric curves as circles. For a real time execution and embedded integration, several optimizations are necessary due to the large memory and computational requirements. This paper presents an efficient real-time pipelined architecture with a FPGA implementation of our Hough Transform for multi-circles detection. The computation of center candidates was improved. A three stages pipeline architecture was designed in order to reduce the processing latency and cadence. The architecture has been integrated into a Xilinx Zynq-7000 XC7Z020 containing a FPGA Artix-7. The global system uses 78.5 BRAMs, 153 DSP slices, 21638 LUTs. Our global system can support a maximum clock frequency of 128.89 MHz. We validate our architecture using a 125MHz clock frequency and we obtain a latency of 33.214 ms and an interval between two images of 16,607 ms for a 1920x1080 pixels image. According to our results, our architecture offer a throughput more than 4 times better than the faster state of the art architecture.
A robust distributed architecture for real-time object-based processing is presented for tasks such as object size, centre and count determination. This approach uses the input image to enclose a feedback loop to real...
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A robust distributed architecture for real-time object-based processing is presented for tasks such as object size, centre and count determination. This approach uses the input image to enclose a feedback loop to realize a data-driven pulsating action. Outlined is the top level design for hardware implementation in a standard CMOS technology.
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