Wednesday, October 26, 2016
Dr. Muhammad Adeel Ahmed Pasha, Assistant Professor and Director of the Electronics and Embedded Systems Lab (EESL) at the Department of Electrical Engineering (EE), Syed Babar Ali School of Science and Engineering (SBASSE) presented a research paper at the 3rd IEEE International Conference on Intelligent Data Acquisition and Advanced Computing – Symposium on Wireless Systems (IDAACS-SWS 2016) held in Offenburg, Germany on September 26-27, 2016. The paper was co-authored by Adnan Rauf (MS EE 2014 student) and Dr. Shahid Masud, faculty at the EE department and Dean SBASSE.
The paper was titled as “A Novel Split Radix Fast Fourier Transform Design for an Adaptive and Scalable Implementation”. Fast Fourier Transform (FFT) is a rudimentary operation in signal processing. Modern high speed signal processing application technologies, such as 4G LTE, 5G, Internet of Things (IoT), etc., necessitate a high throughput implementation of FFT. Moreover the FFT size required in aforementioned technologies tends to vary with the operation mode. It is highly desirable to have a FFT implementation that not only meets the high throughput demand but is also scalable to cater selectable N-point FFT. In this paper, our contribution is two-fold; we first propose a novel split-radix 4/8 FFT algorithm which is comparable in efficiency with radix-8 algorithm but is considerably less complex in design for large size FFTs. Secondly, we developed an automation tool that gives high level implementation details of an adaptive N-point split-radix 4/8 FFT processor.
This conference was the 3rd Bi-annual event on wireless systems (SWS). Previously 8 annual events have been held on the general theme of IDAACS. The main goal of the IDAACS conferences is to provide a forum for high quality reports on the state-of-the-art theory, technology and applications of intelligent data acquisition and advanced computer systems as used in measurement, automation, and scientific research, in industry and business. Rapid developments in these areas have resulted in more intelligent, sensitive, and accurate methods of data acquisition and data processing in manufacturing, in the environmental monitoring, in medical monitoring systems and in laboratory measurement equipment. Advanced methods have been developed to enhance the measurement of information for automation, in process inspection, quality control, diagnostics and other processes.
