| 2008 |
|---|
| 20 | EE | Kazunori Hayashi,
Hideaki Sakai:
Co-Channel Interference Cancellation for Downlink Block Transmission with Cyclic Prefix.
VTC Spring 2008: 703-707 |
| 19 | EE | Megumi Kaneko,
Kazunori Hayashi,
Petar Popovski,
Kazushi Ikeda,
Hideaki Sakai,
Ramjee Prasad:
Amplify-and-forward cooperative diversity schemes for multicarrier systems.
IEEE Transactions on Wireless Communications 7(5-2): 1845-1850 (2008) |
| 2007 |
|---|
| 18 | EE | Jun-Mei Yang,
Hideaki Sakai:
A Robust ICA-Based Adaptive Filter Algorithm for System Identification Using Stochastic Information Gradient.
ICONIP (2) 2007: 315-325 |
| 17 | EE | Kazunori Hayashi,
Hideaki Sakai:
Downlink Channel Estimation for Multi-cell Block Transmission Systems with Cyclic Prefix.
VTC Spring 2007: 1776-1780 |
| 16 | EE | Wladimir Bocquet,
Kazunori Hayashi,
Hideaki Sakai:
Power Allocation Scheme for MIMO MC-CDMA With Two Dimensional Spreading.
VTC Spring 2007: 3145-3149 |
| 15 | EE | Hideaki Sakai,
Jun-Mei Yang,
Tetsuo Oka:
Exact Convergence Analysis of Adaptive Filter Algorithms Without the Persistently Exciting Condition.
IEEE Transactions on Signal Processing 55(5-2): 2077-2083 (2007) |
| 14 | EE | Jun-Mei Yang,
Hideaki Sakai:
A New Adaptive Filter Algorithm for System Identification Using Independent Component Analysis.
IEICE Transactions 90-A(8): 1549-1554 (2007) |
| 13 | EE | Yuki Yoshida,
Kazunori Hayashi,
Hideaki Sakai:
Pre- and Post-Equalization and Frequency Diversity Combining Methods for Block Transmission with Cyclic Prefix.
IEICE Transactions 90-B(10): 2874-2883 (2007) |
| 2006 |
|---|
| 12 | EE | Kazunori Hayashi,
Hideaki Sakai:
A Burst Noise Cancellation Scheme for Single Carrier Block Transmission with Cyclic Prefix.
VTC Spring 2006: 2543-2547 |
| 11 | EE | Kazunori Iwata,
Kazushi Ikeda,
Hideaki Sakai:
A statistical property of multiagent learning based on Markov decision process.
IEEE Transactions on Neural Networks 17(4): 829-842 (2006) |
| 10 | EE | Kazunori Iwata,
Kazushi Ikeda,
Hideaki Sakai:
The asymptotic equipartition property in reinforcement learning and its relation to return maximization.
Neural Networks 19(1): 62-75 (2006) |
| 2005 |
|---|
| 9 | EE | Kazunori Iwata,
Hideaki Sakai,
Kazushi Ikeda:
Stochastic Processes for Return Maximization in Reinforcement Learning.
ICANN (2) 2005: 209-214 |
| 8 | EE | Kazunori Iwata,
Kazushi Ikeda,
Hideaki Sakai:
On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning.
IEICE Transactions 88-D(1): 135-142 (2005) |
| 7 | EE | Kazunori Hayashi,
Hideaki Sakai:
Per-Tone Equalization for Single Carrier Block Transmission with Insufficient Cyclic Prefix.
IEICE Transactions 88-D(7): 1323-1330 (2005) |
| 6 | EE | Hideaki Sakai,
Yoichi Hinamoto:
An exact analysis of the LMS algorithm with tonal reference signals in the presence of frequency mismatch.
Signal Processing 85(6): 1255-1262 (2005) |
| 2004 |
|---|
| 5 | | Kazunori Iwata,
Kazushi Ikeda,
Hideaki Sakai:
Asymptotic equipartition property on empirical sequence in reinforcement learning.
Neural Networks and Computational Intelligence 2004: 90-95 |
| 2003 |
|---|
| 4 | EE | Hideaki Sakai,
Shigeyuki Miyagi:
Analysis of the adaptive filter algorithm for feedback-type active noise control.
Signal Processing 83(6): 1291-1298 (2003) |
| 2001 |
|---|
| 3 | EE | Shuichi Ohno,
Hideaki Sakai:
Convergence behavior of the LMS algorithm in subband adaptive filtering.
Signal Processing 81(5): 1053-1059 (2001) |
| 1986 |
|---|
| 2 | EE | Youji Iiguni,
Hideaki Sakai,
Hidekatsu Tokumaru:
An LDU decomposition algorithm for a block Toeplitz matrix having a parallel and pipelined computing structure.
Inf. Sci. 40(2): 131-142 (1986) |
| 1982 |
|---|
| 1 | EE | Hideaki Sakai:
Optimal transmission of a gaussian vector through a gaussian-white-noise vector channel with feedback.
Inf. Sci. 28(2): 105-113 (1982) |
