Floating-to-Fixed-Point Conversion for Digital Signal Processors
نویسندگان
چکیده
Digital signal processing applications are specified with floating-point data types but they are usually implemented in embedded systems with fixed-point arithmetic to minimise cost and power consumption. Thus, methodologies which establish automatically the fixed-point specification are required to reduce the application time-to-market. In this paper, a new methodology for the floating-to-fixed point conversion is proposed for software implementations. The aim of our approach is to determine the fixed-point specification which minimises the code execution time for a given accuracy constraint. Compared to previous methodologies, our approach takes into account the DSP architecture to optimise the fixed-point formats and the floating-to-fixed-point conversion process is coupled with the code generation process. The fixed-point data types and the position of the scaling operations are optimised to reduce the code execution time. To evaluate the fixed-point computation accuracy, an analytical approach is used to reduce the optimisation time compared to the existing methods based on simulation. The methodology stages are described and several experiment results are presented to underline the efficiency of this approach.
منابع مشابه
A Floating-Point to Fixed-Point Conversion Methodology for Audio Algorithms
Most Digital Signal Processors perform computations on integers, or fixed-point numbers, rather than floating-point numbers. In contrast, Digital Signal Processing algorithms are often designed with real numbers in mind and usually implemented in floating-point. Apart from finite wordlength effects that may appear during signal acquisition and intermediate computations, limits on the signal pre...
متن کاملDesign and Implementation of Numerical Linear Algebra Algorithms on Fixed Point DSPs
Numerical linear algebra algorithms use the inherent elegance of matrix formulations and are usually implemented using C/C++ floating point representation. The system implementation is faced with practical constraints because these algorithms usually need to run in real time on fixed point digital signal processors (DSPs) to reduce total hardware costs. Converting the simulation model to fixed ...
متن کاملDesign and Implementation of Binary Signed Vedic Multiplier for Real Time Digital Signal Processing Applications
In any digital signal processors (DSP’s) the speed of the multipliers plays a very important role. The precision of the multipliers also plays very important role along with its speed. For many high performance systems such as Digital Signal Processors, Microprocessors etc Multipliers are the key components. Since the Floating point multipliers can provide required precision but they are relati...
متن کاملA floating-point to integer C converter with shift reduction for fixed-point digital signal processors
A floating-point to integer C program translator is developed for convenient programming and efficient use of fixed-point programmable digital signal processors (DSP’s). It not only converts data types and supports automatic scaling, but also conducts shift optimization to enhance execution speed. Since the input and output of this translator are ANSI C compliant programs, it can be used for an...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- EURASIP J. Adv. Sig. Proc.
دوره 2006 شماره
صفحات -
تاریخ انتشار 2006