On Using Cubic in Analytical Approach to Continuous-Time Signals

Author(s):

Vinod K. Mishra

Abstract:

Signals (e.g., communication, radar, electrocardiogram, and so on) are generally analyzed using discrete time methods. Recently, advantages of continuous-time methods for machine learning have been observed. This approach is nonuniform in time and uses sampling based on level-crossing. In this report, we present an analytical model for the latter approach, which is also known as a level-crossingbased digital sampling process.