Linear and Quadratic Interpolators Using Truncated-Matrix Multipliers and Squarers
نویسندگان
چکیده
منابع مشابه
Linear and Quadratic Interpolators Using Truncated-Matrix Multipliers and Squarers
This paper presents a technique for designing linear and quadratic interpolators for function approximation using truncated multipliers and squarers. Initial coefficient values are found using a Chebyshev-series approximation and then adjusted through exhaustive simulation to minimize the maximum absolute error of the interpolator output. This technique is suitable for any function and any prec...
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Traditional bit-serial multipliers present one or more clock cycles of data-latency. In some situations, it is desirable to obtain the output after only a combinational delay, as in serial adders and subtracters. A serial multiplier and a squarer with no latency cycles are presented here. Both accept unsigned or sign-extended two's complement numbers and produce an arbitrarily long output. They...
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In this work, we propose a Bayesian source separation method of linearquadratic (LQ) and linear mixtures. Since our method relies on truncated prior distributions, it is particularly useful when the bounds of the sources and of the mixing coefficients are known in advance; this is the case, for instance, in non-negative matrix factorization. To implement our idea, we consider a Gibbs’ sampler e...
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This paper presents a method for designing linear, quadratic and cubic interpolators that compute elementary functions using truncated multipliers, squarers and cubers. Initial coefficient values are obtained using a Chebyshev series approximation. A direct search algorithm is then used to optimize the quantized coefficient values to meet a user-specified error constraint. The algorithm minimiz...
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ژورنال
عنوان ژورنال: Computers
سال: 2015
ISSN: 2073-431X
DOI: 10.3390/computers4040293