Low-power impulse signal classifier using the Haar wavelet transform

James F. Scholl; Jonathan R. Agre; Loren P. Clare; Martin C. Gill

doi:10.1117/12.336958

7 January 1999 Low-power impulse signal classifier using the Haar wavelet transform

James F. Scholl, Jonathan R. Agre, Loren P. Clare, Martin C. Gill

Proceedings Volume 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement; (1999) https://doi.org/10.1117/12.336958
Event: Enabling Technologies for Law Enforcement and Security, 1998, Boston, MA, United States

Abstract

Detection and classification of footsteps and other impulsive signals are a critical function of urban surveillance systems. An example is the wireless integrated network sensor (WINS) system, which is designed to meet this requirement for both law enforcement and military agencies. The detection and classification algorithms should be sufficiently robust to handle a wide variety of environments, but remain of low complexity to allow low power implementation. We present a modified time-domain method for impulse signal classification based on the Haar wavelet transform. The Haar wavelet basis is ideal for short time signals as it provides the best localization in the time domain. Further, the Haar transform has the shortest and simplest filter/basis system, with the scaling function filter using the average of two points and the wavelet filter being the difference between two points. Our classification scheme uses the Haar transform of the input signal to obtain the signal envelope, which is described by the decimated low pass filter coefficients. When implemented on many WINS nodes, this simple procedure has the further advantage of being able to do signal source detection in both location and time.

Citation Download Citation

James F. Scholl, Jonathan R. Agre, Loren P. Clare, and Martin C. Gill "Low-power impulse signal classifier using the Haar wavelet transform", Proc. SPIE 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement, (7 January 1999); https://doi.org/10.1117/12.336958

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available