منابع مشابه
FFT-Based Deep Learning Deployment in Embedded Systems
Deep learning has delivered its powerfulness in many application domains, especially in image and speech recognition. As the backbone of deep learning, deep neural networks (DNNs) consist of multiple layers of various types with hundreds to thousands of neurons. Embedded platforms are now becoming essential for deep learning deployment due to their portability, versatility, and energy efficienc...
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Discrete Fourier Transform (DFT) is one of the core operations in digital signal processing and communication systems. Many fundamental algorithms can be realized by DFT, such as convolution, spectrum estimation, and correlation. Furthermore, DFT is widely used in standard embedded system applications such as wireless communication protocols requiring Orthogonal Frequency Division Multiplexing ...
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We discuss various analytic and numerical methods that have been used to get option prices within a framework of the VG model. We show that some popular methods, for instance, CarrMadan’s FFT method [1] could blow up for certain values of the model parameters even for an European vanilla option. Alternative methods one originally proposed by Lewis, and BlackScholes-wise method are considered th...
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ژورنال
عنوان ژورنال: JAREE (Journal on Advanced Research in Electrical Engineering)
سال: 2017
ISSN: 2579-6216,2580-0361
DOI: 10.12962/j25796216.v1.i1.12