Transform Coding of Self-Similar Processes based on the Wigner-Ville Distribution for Inference on Vehicular Accelerometer Data

Accelerometer data collected from moving vehicles can be modeled as a self-similar random process. A Renyi entropy measure computed over the Wigner-Ville distribution of this non-stationary process is used to select the most relevant data samples for compression. Wavelet transform based transform coding is applied to compress the accelerometer data with minimal distortion and accurate inferences (detection of events) on the reconstructed data using the Cher off distance.