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 ...
Natick, Mass.—The MathWorks has released Fixed-Point Toolbox 2, which provides enhanced floating-to-fixed-point conversion capabilities and accelerated fixed-point MATLAB algorithms that execute at ...
We implement fixed-point matrix inversion on a Virtex-4 FPGA using a synthesizable QR-decomposition MATLAB model and the AccelDSP Synthesis tool. The resulting function occupies 12% of a XC4VSX55 ...
Abstract: In technical applications typical problems arise that can be “differentially” treated by the calculation and subsequent inversion of certain Jacobi matrices. However, in many cases, the ...
Abstract: This paper studies the convergence of a fixed point iteration algorithm for the problem of max-min signal-to-interference ratio (SIR) balancing. Differently from the existing work on the ...
ABSTRACT: In this paper, Aitken’s extrapolation normally applied to convergent fixed point iteration is extended to extrapolate the solution of a divergent iteration. In addition, higher order Aitken ...
It is sometimes useful to output quantities after each fixed point iteration, for example, for testing or monitoring fixed point progress. Currently, there is only one execution point for Outputs ...
ABSTRACT: In this paper, Aitken’s extrapolation normally applied to convergent fixed point iteration is extended to extrapolate the solution of a divergent iteration. In addition, higher order Aitken ...