Abstract: The paper presents an approach for human action recognition that uses Convolutional Neural Networks (CNNs). First, the Original signal image are created which capture the 3D human motion ...

Comprehensive introduction to analysis of continuous and discrete-time signals and systems. Linear time-invariant systems, convolution; Fourier series representations of periodic signals; Continuous ...

The linear canonical transform (LCT) is a versatile integral transform that generalises classical transforms such as the Fourier, fractional Fourier, and Fresnel transforms. By utilising four ...

Abstract: Using Kalman techniques, it is possible to perform optimal estimation in linear Gaussian state-space models. When the Gaussian assumptions are inadequate, the Kalman-type filters fail to be ...

As shown in the last subsection, kernel density estimates can be expressed as a submatrix of a certain convolution. The fast Fourier transform (FFT) is a computationally effective method for computing ...

F_s = laplace_transform(f_t, t, s)[0] # F(s) のラプラス変換 G_s = laplace_transform(g_t, t, s)[0] # G(s) のラプラス変換 # ラプラス変換の結果を ...