Automatic Conversion of Floating Point MATLAB Programs into Fixed Point FPGA Based Hardware Design
نویسندگان
چکیده
Most practical FPGA designs are limited to finite precision signal processing using fixed-point arithmetic because of the cost and complexity of floating point hardware. While mapping DSP applications onto FPGAs, a DSP algorithm designer, who often develops his applications in MATLAB, must determine the dynamic range and desired precision of input, intermediate and output signals in a design implementation to ensure that the algorithm fidelity criteria are met. The first step in a flow to map MATLAB applications into hardware is the conversion of the floating point MATLAB algorithm into a fixed point version using “quantizers” from the Filter Design and Analysis (FDA) Toolbox for MATLAB.
منابع مشابه
An Algorithm to Trade off Quantization Error with Hardware Resources for MATLAB based FPGA design
Most practical FPGA designs of digital signal processing applications are limited to fixed-point arithmetic because of the cost and complexity of floating-point hardware. While mapping DSP applications onto FPGAs, a DSP algorithm designer, who often develops his applications in MATLAB, must determine the dynamic range and desired precision of input, intermediate and output signals in a design i...
متن کاملFixed-point FPGA Implementation of a Kalman Filter for Range and Velocity Estimation of Moving Targets
Tracking filters are extensively used within object tracking systems in order to provide consecutive smooth estimations of position and velocity of the object with minimum error. Namely, Kalman filter and its numerous variants are widely known as simple yet effective linear tracking filters in many diverse applications. In this paper, an effective method is proposed for designing and implementa...
متن کاملFloating-point DSP Design Flow and Performance on Altera 28-nm FPGAs
OVERVIEW FPGAs are increasingly used as parallel processing engines for demanding digital signal processing applications. Benchmark results show that on highly parallelizable workloads, FPGAs can achieve higher performance and superior cost/performance compared to digital signal processors (DSPs) and general-purpose CPUs. However, to date, FPGAs have been used almost exclusively for fixed-point...
متن کاملAn Independent Analysis of Floating-point DSP Design Flow and Performance on Altera 28-nm FPGAs
OVERVIEW FPGAs are increasingly used as parallel processing engines for demanding digital signal processing applications. Benchmark results show that on highly parallelizable workloads, FPGAs can achieve higher performance and superior cost/performance compared to digital signal processors (DSPs) and general-purpose CPUs. However, to date, FPGAs have been used almost exclusively for fixed-point...
متن کاملFPGA Implementation of Blue Whale Calls Classifier Using High-Level Programming Tool
In this paper, we propose a hardware-based architecture for automatic blue whale calls classification based on short-time Fourier transform and multilayer perceptron neural network. The proposed architecture is implemented on field programmable gate array (FPGA) using Xilinx System Generator (XSG) and the Nexys-4 Artix-7 FPGA board. This high-level programming tool allows us to design, simulate...
متن کامل