A field-programmable gate array (FPGA) based implementation of the Kullback-Leibler Divergence (KLD) algorithm for real-time detection of anomalies in periodic signals is presented. To aid in the development of the hardware platform, an optimised, application specific, differential-equation version of the KLD equation is also proposed. Successful tests of the implementation against 10 MHz wireless signals show that the algorithm is indeed capable of real-time analysis of high speed test vectors.
|Title of host publication||2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2009)|
|Number of pages||6|
|Publication status||Published - 2009|
- wireless communication
Afgani, M., Sinanovic, S., & Haas, H. (2009). Hardware implementation of a Kullback-Leibler Divergence based signal anomaly detector. In 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2009) (pp. 1-6). IEEE. https://doi.org/10.1109/ISABEL.2009.5373614