A desktop application built with Python to provide an intuitive, animated visualization of discrete and continuous time convolution and correlation. This tool is designed for students, educators, and ...

Abstract: Continuous convolution has recently gained prominence due to its ability to handle irregularly sampled data and model long-term dependency. Also, the promising experimental results of using ...

Abstract: Discriminant correlation filters (DCF) have proven to perform well in visual tracking. However, the underlying discriminant correlation filter only utilizes the single-resolution features of ...

$$u(x_i) = \sum_{j=1}^{N_S} K(x_i, y_j) \rho_j,\quad \text{for~} i = 1, \ldots, N_T$$ The DMK (dual-space multilevel kernel-splitting) framework uses a hierarchy of ...

In a lecture example, we used the convolution integral approach to study the response of an undamped oscillator excited by the rectangular pulse shown below. Here we will apply the graphical ...