It must be noted that outlined red block had been implemented using FPGA instead of conventional digital logic. The FPGA development was introduced to me in the University of Buenos Aires (FIUBA) in the professorship '66.17 Sistemas Digitales'. In order to test and debug several designs for the university.
A simulation model of wind turbine generator is developed in MATLAB and FAST. A pictorial view of FPGA based RTU design is shown in Fig.4. Simulating Vga is very difficult in the VHDL and VeriLog simulation softwares. It is shown that our design is better in terms of achieved frequency with a small increase in resource utilization. Mehran University of Engineering and Technology. The results are compared in terms of recourse utilization, power consumption, observed delay, logic levels and maximum achieved frequency. This paper also presents the comparative analysis of proposed design with Spartan 6 FPGA's built-in IPcore for floating-point multiplier. FireSim is a cycle-accurate, FPGA-accelerated scale-out computer system simulation platform developed in the Berkeley Architecture Research Group in the EECS Department at the University of California, Berkeley.
The multiplier may be used in adaptive filters for multiplying the fractional step size (mue) to update the filter weights. In this work, we have shown the implementation of IEEE-754 single precision floating-point multiplier on FPGA using carry-look ahead adder (for exponent addition). With the development of Very Large Scale Integration (VLSI) technology, Field Programmable Gate Array (FPGA) has become the best candidate for implementing floating-point multipliers (due to their high integration density, low price, high performance and flexible applications). Though, various high level languages based implementations of floating-point multiplier are observed so far, but the hardware based implementation has still remained a bottleneck. High speed signal processing demands for high speed hardware. Specially, need of high precision floating-point multipliers is observed in Digital Signal Processing- like in filtering and transformations. Abstract : Floating-point arithmetic has various applications in the field of Science and Engineering.