We give an overview of the shift-add neural arithmetics, which provide a complete set of functions suitable for fast perceptron and RBF network implementations. The set consists of logarithm, exponent, multiplication, square, square root, sigmoid-like and Gauss-like functions. All functions are ...
This paper introduces a Shift-Sub Modular Multiplication (SSMM) algorithm for calculating such values in fields. The algorithm does not require modular arithmetic and precomputed values. Instead, it uses shift and addition/subtraction calculations. The SSMM algorithm can also be used directly for RSA...
The multiplier circuit is based on the add shift algorithm. The main advantage of the array multiplier is it’s simple in design and regular in shape. In the add shift algorithm first the partial product is calculated using and gates. Then for the summation full adders and half adders are ...
in GF(2n).However,it includes SHIFT operations,and SHIFT operations are just time-consuming operation among the operations of multuiplication in GF(2n).A new algorithm for multiplication in GF(2n),based on window technology,was presented,it completely avoided the SHIFT operations,and ... ...
The main idea behind our proposed scheme, Shiftply, is to approximate the first operand of a multiplier to the nearest power of 2 and then multiply it by the second operand. This way, we end up with a simple shift instead of a full-fledged multiplication. Rounding is quite simple in bin...
As an example of this style, consider the parallelism within the Strassen matrix multiplication algorithm. This is a block-oriented version of the basic matrix multiplication algorithm. The two input matrices are each divided into four sub-blocks that are then algebraically combined to form the sub...
As an example of this style, consider the parallelism within the Strassen matrix multiplication algorithm. This is a block-oriented version of the basic matrix multiplication algorithm. The two input matrices are each divided into four sub-blocks that are then algebraically combined to f...
The best currently-known algorithm for constructing an N-vertex Ramanujan graph for arbitrary degree d following the existential proof of Marcus et al. [1] is by a brute-force search: Start with Kd,d as the base graph and iteratively find a 2-lift of the current graph such that all the...
between stems. (af_latin_hints_detect_features): Pass stem width array and array size. (af_latin_metrics_init_widths): Updated to use original algorithm. (af_latin_hints_apply): Updated to use new algorithm. * src/autofit/aflatin.h: Updated. ...
Furthermore, the multiplication number per bit is increased exponentially with an increase in the subcarrier number as seen later. While, for CI-DCSK2, the bit error rate (BER) performance is lower than that of CI-DCSK1 and 2CI-DCSK even though it carries higher bits per symbol duration ...