Minimizing the Moreau envelope of nonsmooth convex functions over the fixed point set of certain quasi-nonexpansive mappings
I Yamada, M Yukawa, M Yamagishi - … for Inverse Problems in Science and …, 2011 - Springer
The first aim of this paper is to present a useful toolbox of quasi-nonexpansive mappings for
convex optimization from the viewpoint of using their fixed point sets as constraints. Many …
convex optimization from the viewpoint of using their fixed point sets as constraints. Many …
Online learning in reproducing kernel Hilbert spaces
Online learning has been at the center of focus in signal processing learning tasks for many
decades, since the early days of the LMS and Kalman filtering and it has already found its …
decades, since the early days of the LMS and Kalman filtering and it has already found its …
The convergence of machine learning and communications
The areas of machine learning and communication technology are converging. Today's
communications systems generate a huge amount of traffic data, which can help to …
communications systems generate a huge amount of traffic data, which can help to …
An adaptive projected subgradient approach to learning in diffusion networks
RLG Cavalcante, I Yamada… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
We present an algorithm that minimizes asymptotically a sequence of nonnegative convex
functions over diffusion networks. In the proposed algorithm, at each iteration the nodes in …
functions over diffusion networks. In the proposed algorithm, at each iteration the nodes in …
A novel constellation reshaping method for PAPR reduction of OFDM signals
In this paper, we propose a constellation reshaping method for peak-to-average power ratio
(PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems. The key …
(PAPR) reduction in orthogonal frequency division multiplexing (OFDM) systems. The key …
Preamble and pilot symbol design for channel estimation in OFDM systems with null subcarriers
S Ohno, E Manasseh, M Nakamoto - EURASIP Journal on Wireless …, 2011 - Springer
In this article, design of preamble for channel estimation and pilot symbols for pilot-assisted
channel estimation in orthogonal frequency division multiplexing system with null …
channel estimation in orthogonal frequency division multiplexing system with null …
[PDF][PDF] A unified view of adaptive variable-metric projection algorithms
M Yukawa, I Yamada - EURASIP Journal on Advances in Signal …, 2009 - Springer
We present a unified analytic tool named variable-metric adaptive projected subgradient
method (V-APSM) that encompasses the important family of adaptive variable-metric …
method (V-APSM) that encompasses the important family of adaptive variable-metric …
An FFT approximation technique suitable for on-chip generation and analysis of sinusoidal signals
JM Emmert, JA Cheatham… - … IEEE Symposium on …, 2003 - ieeexplore.ieee.org
Signal generation and analysis are an important part of BIST for analog and mixed-signal
systems. An accurate analysis of the spectral content of signals produced by analog …
systems. An accurate analysis of the spectral content of signals produced by analog …
Multi-domain adaptive learning based on feasibility splitting and adaptive projected subgradient method
M Yukawa, K Slavakis, I Yamada - IEICE transactions on …, 2010 - search.ieice.org
We propose the multi-domain adaptive learning that enables us to find a point meeting
possibly time-varying specifications simultaneously in multiple domains, eg space, time …
possibly time-varying specifications simultaneously in multiple domains, eg space, time …
Fixed point algorithms and superiorization in communication systems
J Fink - 2022 - depositonce.tu-berlin.de
This work studies fixed point algorithms and superiorization in wireless communication
systems. Modern wireless systems perform a great variety of signal processing tasks …
systems. Modern wireless systems perform a great variety of signal processing tasks …