Construction of Machine Learning Algorithm Based on Fixed Point Theory and Its Application to Wireless Communication Systems
Project/Area Number |
20760252
|
Research Category |
Grant-in-Aid for Young Scientists (B)
|
Allocation Type | Single-year Grants |
Research Field |
Communication/Network engineering
|
Research Institution | Niigata University (2010-2011) The Institute of Physical and Chemical Research (2008-2009) |
Principal Investigator |
|
Project Period (FY) |
2008 – 2011
|
Project Status |
Completed (Fiscal Year 2011)
|
Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
|
Keywords | 信号処理 / 移動体通信 / 機械学習 / 情報通信工学 / 時変計量適応射影劣勾配法 / 射影勾配作用素 / 複数領域適応学習 / 無線通信 / 低ランク適応フィルタ |
Research Abstract |
Based on fixed point theory, we have obtained the following outcomes.(1) We have derived a reduced-rank adaptive algorithm, analyzed its convergence properties, and shown that it ameliorates the convergence rate considerably with low computational complexity.(2) We have introduced the new concept of time-varying metric producing a general framework to analyze the convergence properties of a number of adaptive algorithms in a unified fashion.(3) We have imported the concept of feasibility splitting to adaptive signal processing, derived an efficient adaptive algorithm to exploit a variety of information that is expressed in multiple domains, analyzed its convergence properties, and shown its efficacy in SIMO/MIMO wireless communication systems.
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Report
(6 results)
Research Products
(68 results)