The radar ambiguity function is useful as a criterion of goodness for modulation signals used to discriminate the range and range-rate of point targets. It is often desirable to change existing ...

Learn what linear and nonlinear models are, how they differ, and how they are applied in neural networks with real-world examples.

The main drawback of speaker de-identification approaches using voice conversion techniques is the need for parallel corpora to train transformation functions between the source and target speakers.

This project illustrates the fundamental concepts of linear transformations in both 2D and 3D spaces. By manually implementing these transformations and comparing them with library functions, we gain ...

I was curious about what would happen if we transformed the coordinate system with a 2D transformation matrix which had entries that are functions of the points they are transforming (unlike linear ...

However, manually creating catalogs of transformations is complex and time-consuming. In this paper, we present Refazer, a technique for automatically learning program transformations. Refazer builds ...