A CGM APPROACH TO SUBSPACE BASED BLIND CHANNEL IDENTIFICATION
スポンサーリンク
概要
- 論文の詳細を見る
We propose a CGM (conjugate gradient method) approach to subspace based blind channel identification. The algorithm estimates (1) the channel order, (2) the noise variance, (3) the noise subspace, and them identifies (4) channel impulse response without using the eigenvalue decomposition. The special features of the proposed algorithm are (1) accurate channel order estimation and (2) the reduction of computational complexity using CGM. Numerical examples show the effectiveness of the proposed algorithm.
- 富山高等専門学校の論文
著者
-
TSUJII Shigeo
Research and Development Initiative, Chuo University
-
Tsujii S
Institute Of Information Security
-
Tsujii Shigeo
Institute Of Information Security
-
Tanabe Nari
Department Of Electronic Systems Engineering Tokyo University Of Science
-
Tsujii S
Graduate School Of Information Security Institute Of Information Security:research And Development I
-
FURUKAWA Toshihiro
Department of Management Science, Tokyo University of Science
-
TANABE Nari
Toyama National College of Technology
-
FURUKAWA Toshihiro
Science University of Tokyo
-
Furukawa Toshihiro
Department Of Management Science Tokyo University Of Science
-
Tsuji Shigeo
Institute of information Security
関連論文
- Key-Generation Algorithms for Linear Piece In Hand Matrix Method
- Anonymous Query Language Retrieval (ライフインテリジェンスとオフィス情報システム)
- Anonymous Query Language Retrieval (情報セキュリティ)
- Key-Generation Algorithms for Linear Piece In Hand Matrix Method
- Dually-Perturbed Matsumoto-Imai Signature (DPMS) Scheme
- Security Enhancement of Various MPKCs by 2-Layer Nonlinear Piece in Hand Method
- Proposal for Piece in Hand Matrix : General Concept for Enhancing Security of Multivariate Public Key Cryptosystems(Discrete Mathematics and Its Applications)
- A Subspace Blind Identification Algorithm with Reduced Computational Complexity : Colored Noise Case(Digital Signal Processing)
- A Practical Subspace Blind Identification Algorithm with Reduced Computational Complexity : Colored Noise Case
- A Practical Subspace Blind Identification Algorithm with Reduced Computational Complexity(Digital Signal Processing)
- Improvements of Addition Algorithm on Genus 3 Hyperellipic Curves and Their Implementation(Public Key Cryptography)(Cryptography and Information Security)
- Baby Step Giant Step Algorithms in Point Counting of Hyperelliptic Curves
- Robust noise suppression algorithm using the only Kalman filter theory for white and colored noises (Speech) -- (国際ワークショップ"Asian workshop on speech science and technology")
- Robust Noise Suppression Algorithm with the Kalman Filter Theory for White and Colored Disturbance
- Robust noise suppression algorithm using the only Kalman filter theory for white and colored noises
- A CGM APPROACH TO SUBSPACE BASED BLIND CHANNEL IDENTIFICATION