9 citations · 17 across the 5 of their papers we have counts for
5 papers
One-Dimensional Nonnegative Spline Smoothing via Convex Semi-Infinite Programming with a Cutting-Plane Method
Hiroki Arai, Daichi Kitahara
Spline functions are smooth piecewise polynomials widely used for interpolation and smoothing, and nonnegative spline smoothing is also studied for nonnegative data. Previous resea…
Convex Estimation of Sparse-Smooth Power Spectral Densities from Mixtures of Realizations with Application to Weather Radar
Hiroki Kuroda, Daichi Kitahara, Eiichi Yoshikawa +2
In this paper, we propose a convex optimization-based estimation of sparse and smooth power spectral densities (PSDs) of complex-valued random processes from mixtures of realizatio…
Design of Tight Minimum-Sidelobe Windows by Riemannian Newton's Method
Daichi Kitahara, Kohei Yatabe
The short-time Fourier transform (STFT), or the discrete Gabor transform (DGT), has been extensively used in signal analysis and processing. Their properties are characterized by a…
Frequency-Undersampled Short-Time Fourier Transform
Daichi Kitahara
The short-time Fourier transform (STFT) usually computes the same number of frequency components as the frame length while overlapping adjacent time frames by more than half. As a…
Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists
Laurent Condat, Daichi Kitahara, Andrés Contreras +1
Convex nonsmooth optimization problems, whose solutions live in very high dimensional spaces, have become ubiquitous. To solve them, the class of first-order algorithms known as pr…