sfrmat is a Matlab function that provides a spatial frequency response* (SFR) from a digital image file containing a slanted-edge feature. The specific edge-gradient algorithm follows the intent of the standard ISO 12233, developed by Technical Committee ISI/TC 42, for resolution measurements for electronic still pictorial cameras.
This m file models a DPSK UWB system using a delay in one leg of the mixer, correlation receiver low pass filter combination requiring no template for synching. Various waveforms are displayed throughout the system to allow the user to observe operation of the system.
Sensing in autonomous vehicles is a growing field due to a wide array of military and reconnaissance applications. The Adaptive Communications and Signals Processing Group (ACSP) research group at Cornell specializes in studying various aspects of autonomous vehicle control. Previously, ACSP has examined video sensing for autonomous control. Our goal is to build on their previous research to incorporate audio source tracking for autonomous control.
