Rika Ito

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Brain-Computer Interfaces (BCI) are communication systems that enable users to interact with computers using only brain activity. This activity is generally measured by ElectroEncephaloGraphy (EEG). A major limitation of BCI is the electrical sensitivity of EEG which causes severe deterioration of the signals when the user is moving. This constrains current(More)
Recently, a semi-definite programming relaxation method (SDP relaxation) for the design problem of FIR filters with SP2 coefficients is proposed. In this paper, we propose a new linear programming relaxation method (LP relaxation) with triangle inequalities based on the SDP relaxation method. Here, the polynomiality of the method is guaranteed by exploiting(More)
INTRODUCTION It remains unknown whether dipeptidyl peptidase-4 (DPP-4) inhibitors improve early-phase insulin secretion in Japanese patients with type 2 diabetes (T2D), a disease characterized by impaired insulin secretion. We investigated the changes in insulin secretion before and after treatment with the DPP-4 inhibitor teneligliptin in patients with T2D(More)
Improved approximation algorithms for maximum cut and satisfiability problem using semidefinite programming, [10] R. Ito and K. Suyama, A heuristic qpproach to sp2 term allocation for FIR filter based on least means square criteria, Int. New design methods of FIR filters with signed power of two coefficients based on a new linear programming relaxation with(More)
In this paper, we propose new design methods for linear phase FIR filters with signed power-of-two (SP2) coefficients based on a semi-definite programming (SDP) relaxation method. The proposed methods include a linear programming (LP) relaxation and a relaxation by adding triangle inequalities. Although such the design problems are known as one of the(More)