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Parallelizing of digital signal processing with using GPU

机译:使用GPU的数字信号处理并行化

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In this paper we show the process of a class of algorithms parallelization which are used in digital signal processing. We present this approach on the instance of the popular LMS algorithm which is used in noise reduction, echo cancelation problems and digital signal processing in general. We propose an approach which uses a GPGPU technology. Parallel approach allows us decomposing the problem into a number of smaller ones, which can be computed faster. Obtained results, especially increase of speed and efficiency, show that the parallel method implemented on GPU is much more effective than other existing procedures and it can be used in the real-time systems.
机译:在本文中,我们示出了在数字信号处理中使用的一类算法并行化的过程。 我们在流行LMS算法的实例上介绍了这种方法,该算法用于降噪,回显消减问题和数字信号处理。 我们提出一种使用GPGPU技术的方法。 并行方法允许我们将问题分解为多个较小的问题,这可以更快地计算。 获得的结果,尤其是速度和效率的提高,表明,在GPU上实现的并行方法比其他现有程序更有效,它可以在实时系统中使用。

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