SIMULASI DAN ANALISIS ERROR KOMPUTASI FFT WINOGRAD 16-TITIK MENGGUNAKAN XILINX ISE 10.1I
Abstract: Weakness data
processing using analog processors are less efficient because if there is an
error in the design of a system using an analog processor, the hardware of the
system should be redesigned. Processing of analog signals using digital
processor has several advantages such as efficient and easy to modify the
system are made, without requiring hardware redesign as well as in the design
of analog systems. Errors in the design of digital circuits in the processor
only requires modification program, without having to change the hardware.
Modifications can be done anywhere, without demanding we must be in the
laboratory. Fast Fourier Transform (FFT) is a computational algorithm that is
used for digital data processing such as in the field of image, music, and
satellite. Winograd FFT 16 point multiplier, multiplier consists of 6 pieces in
the form of fractions. Design of FFT multiplier in Xilinx ISE 10.1i could do
with changing fractions menajdi integers and then converted into a number by
logic 1 and 0. Changing fractions into an integer will give different
computational results compared with the original computation using a multiplier
of FFT. The shift results enormous computing will result in lost / loss
information can be conveyed from the processed data. To that end, researchers
tried to simulate and analyze the computational error rate of 16 point Winograd
FFT processor using Xilinx ISE 10.1i. The results showed average percentage
error computational simulations using FFT 16 point Xilinx Ise 10.1i compare
with Matlab is 6.67% (first trial) and 4:48% (second trial). This error occurs
because the processor does not allow the FPGA digital display numbers in a real
number.
Penulis: Irma Yulia Basri
Kode Jurnal: jptlisetrodd130795