Migrating signal-processing algorithms from floating- to fixed-point is often necessary to meet various design constraints, including real-time performance, cost and power dissipation. The migration ...

In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...

The MathWorks has introduced Fixed-Point Toolbox 2, which the company said provides enhanced floating-to-fixed-point conversion capabilities and accelerated fixed-point MATLAB algorithms able to ...

Mathematics of Operations Research, Vol. 7, No. 1 (Feb., 1982), pp. 1-13 (13 pages) In this paper an algorithm based on the principle of simplicial approximation is introduced to compute fixed points ...

The MathWorks on Tuesday released its new Fixed-Point Toolbox and Simulink Fixed Point, which add fixed-point design capabilities and better fixed-point simulation in MatLab and Simulink, respectively ...

If you are used to writing software for modern machines, you probably don’t think much about computing something like one divided by three. Modern computers handle floating point quite well. However, ...

[Alan Burlison] is working on an Arduino project with an accelerometer and a few LEDs. Having the LEDs light up as his board is tilted to one side or another is an easy enough project a computer ...

In a recent survey conducted by AccelChip Inc. (recently acquired by Xilinx), 53% of the respondents identified floating- to fixed-point conversion as the most difficult aspect of implementing an ...