E
Erdal Oruklu
Researcher at Illinois Institute of Technology
Publications - 138
Citations - 1234
Erdal Oruklu is an academic researcher from Illinois Institute of Technology. The author has contributed to research in topics: Signal processing & Field-programmable gate array. The author has an hindex of 18, co-authored 135 publications receiving 1079 citations.
Papers
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Journal ArticleDOI
System-on-chip design for ultrasonic target detection using split-spectrum processing and neural networks
TL;DR: A neural network (NN) coupled to split-spectrum processing (SSP) is examined for target echo visibility enhancement using experimental measurements and is capable of improving the target-to-clutter ratio by an average of 40 dB.
Proceedings ArticleDOI
Ultrasonic flaw detection using discrete wavelet transform for NDE applications
Erdal Oruklu,Jafar Saniie +1 more
TL;DR: Performance analysis of different wavelet kernels with respect to ultrasonic NDE applications are presented and the wavelet selection criteria for optimal flaw detection is developed and Experimental results indicate that DWT based flaw detection algorithms offer flaw-to-clutter ratio enhancement of 5-12 dB.
Journal ArticleDOI
An Efficient FFT Engine With Reduced Addressing Logic
TL;DR: An improved butterfly structure and an address generation method for fast Fourier transform (FFT) using reduced logic to generate the addresses, avoiding the parity check and barrel shifters commonly used in FFT implementations are presented.
Proceedings ArticleDOI
3D image reconstruction and human body tracking using stereo vision and Kinect technology
TL;DR: This study explores the combination of higher quality images on a webcam and faster computation of depth information on Kinect in order to create an efficient and enhanced 3D image reconstruction system.
Journal ArticleDOI
FPGA-Based Traffic Sign Recognition for Advanced Driver Assistance Systems
Sheldon Waite,Erdal Oruklu +1 more
TL;DR: The implementation of an embedded automotive system that detects and recognizes traffic signs within a video stream and discusses the recent advances in driver assistance technologies and highlights the safety motivations for smart in-car embedded systems are presented.