On Using Cubic Interpolation for Level-Crossing Sampling Continuous-Time Signals

Author(s):

Vinod Mishra, W. Michael Crowe, and Patrick Jungwirth

Abstract:

Signals (e.g., communication, radar, and electrocardiogram) in general are analyzed using discrete-time methods. Recently, advantages of continuous-time methods for ML have been observed. This approach is nonuniform in time and uses sampling based on level crossing. We present an analytical model using cubic functions for the level-crossing-based digital sampling process.