Download Arithmetic Complexity of Computations (CBMS-NSF Regional by Shmuel Winograd PDF

By Shmuel Winograd

Specializes in discovering the minimal variety of mathematics operations had to practice the computation and on discovering a greater set of rules while development is feasible. the writer concentrates on that type of difficulties all in favour of computing a approach of bilinear types.

Results that bring about purposes within the region of sign processing are emphasised, considering the fact that (1) even a modest aid within the execution time of sign processing difficulties may have sensible importance; (2) ends up in this quarter are particularly new and are scattered in magazine articles; and (3) this emphasis shows the flavour of complexity of computation.

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Extra resources for Arithmetic Complexity of Computations (CBMS-NSF Regional Conference Series in Applied Mathematics)

Sample text

The first summation is the computation of a symmetric filter (with tap values (hj + h'j)/2, and signals y, = *,- + jc,'), and the second summation is the computation of a skew symmetric filter (with tap values (h,--h',-)/2, and signals y\ =• x,\—x\).

We now turn to an example for deriving an algorithm for computing the outputs of a symmetric filter. This example will illustrate how the extra symmetries of a symmetric filter aids us in obtaining an algorithm which uses few m/d steps and yet does not have large coefficients. Example 1. In this example we will derive an algorithm for computing the outputs of a 3-tap symmetric filter. More specifically we will derive an algorithm for Fs(4, 3). The algorithm derived in this example will be a part of the algorithm which we will derive in the next example.

Note that if we iterate the algorithm described earlier to computing the coefficients of two quadratic polynomials using 6 m/d steps, we would have obtained algorithms for computing the coefficients of two (n — 1) degree polynomials in 6k = n10£36 m/d steps for n = 3k. Since Iog3 6 > Iog2 3 the algorithm of § Ila is better for iteration. The third heuristic method combines some of the advantage of the first two. The idea behind this method is the use of fields of constants which are larger than the field of rational numbers.

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