The paper presents a relaxation-based autofocus (AUTORELAX) algorithm that can be used to compensate for the aperture errors in curvilinear synthetic aperture radar (CLSAR) and to extract three-dimensional target feat...
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The paper presents a relaxation-based autofocus (AUTORELAX) algorithm that can be used to compensate for the aperture errors in curvilinear synthetic aperture radar (CLSAR) and to extract three-dimensional target features. A self-contained detailed derivation of the data model for the autofocus problem in CLSAR is presented. Experimental and simulation results show that AUTORELAX can be used to significantly improve the estimation accuracy of the target parameters.
Circuit simulation is very important and time-consuming. Parallel computing does well accelerate the calculating speeds of many applications. GPU cards have thousands of threads, so it's a good strategy to use GPU...
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ISBN:
(纸本)9781479979837
Circuit simulation is very important and time-consuming. Parallel computing does well accelerate the calculating speeds of many applications. GPU cards have thousands of threads, so it's a good strategy to use GPU cards to perform circuit simulation. This paper use appropriate numerical methods, including techniques used by SPICE and Nonlinear relaxation (relaxation-based method for solving nonlinear equations), to perform the circuit simulation. We assign the heaviest calculation portion of the simulation program to the GPU card, i.e. the nonlinear equation (derived by Newton Raphson iteration) solving portion. The complete circuit simulation program based on proposed methods has been coded and tested by solving some MOSFET circuits. The resulted speedup justifies the success of this research.
Circuit simulation is important for circuit design communities. relaxation-based algorithms have been proven to be faster and more flexible than the standard direct approach used in SPICE. Signal flow analysis of the ...
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ISBN:
(纸本)0819445185
Circuit simulation is important for circuit design communities. relaxation-based algorithms have been proven to be faster and more flexible than the standard direct approach used in SPICE. Signal flow analysis of the simulated circuit is very important in using relaxation-based algorithms. However, there is no specific research undertaken for it. This paper discusses signal flows in circuit simulation, which gives two definitions for the strength of signal flow (SSF), discusses how to calculate SSF, and proposes techniques to utilize SSF in one of the relaxation-base algorithms, ITA (Iterated Timing Analysis). Experimental examples on digital as well as analog circuits are given to prove the value of exploiting SSF in circuit simulation.
Circuit simulation is very important and time-consuming. Parallel computing does well accelerate the calculating speeds of many applications. GPU cards have thousands of threads, so it's a good strategy to use GPU...
详细信息
ISBN:
(纸本)9781479979851
Circuit simulation is very important and time-consuming. Parallel computing does well accelerate the calculating speeds of many applications. GPU cards have thousands of threads, so it's a good strategy to use GPU cards to perform circuit simulation. This paper use appropriate numerical methods, including techniques used by SPICE and Nonlinear relaxation (relaxation-based method for solving nonlinear equations), to perform the circuit simulation. We assign the heaviest calculation portion of the simulation program to the GPU card, i.e. the nonlinear equation (derived by Newton Raphson iteration) solving portion. The complete circuit simulation program based on proposed methods has been coded and tested by solving some MOSFET circuits. The resulted speedup justifies the success of this research.
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