Image Signal Processing Using Adaptive Volterra Filter with Lattice Structure

使用具有格子结构的自适应 Volterra 滤波器进行图像信号处理

• 批准号: 10650373
• 负责人: YAMASHITA Katsumi
• 金额: $ 2.24万
• 依托单位: Osaka Prefecture University (2000)University of the Ryukyus (1998-1999)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1998
• 资助国家: 日本
• 起止时间: 1998 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-10650373/
• 关键词: Digital signal Processing; Lattice filter; Volterra filter; Nonlinear signal processing; Two-dimensional signal processing; Adaptive algorithm

High speed mobile communication channels are usually impaired by nonlinear intersymbol interference(ISI) and additive noise. In order to reconstruct the transmitted data sequence, the ISI must be compensated at the receiver and the compensation is referred to as channel equalization.A considerable interest has been shown in the application of the results of linear filter theory, because the linear filters are its simplicity in design and implementation. However, they will not perform adequately for telephone channel at rates higher than 4800 bits/s in telecommunication systems since the error probability of transmitting data is caused almost entirely by nonlinear distortion. A very common system model that has been employed with relatively good success in nonlinear filtering applications, such as system identification and noise canceller of nonlinear system, is the Volterra system model. The Volterra model is presented by the Volterra series expansion that is well known as a generalization of the Taylor series expansion.In this project, we designed nonlinear equalizer based on Volterra model and the validity of the proposed equalizer are demonstrated by simulations.

高速移动的通信信道通常会受到非线性码间干扰和加性噪声的影响。为了重构传输的数据序列，在接收端必须对码间干扰进行补偿，这种补偿被称为信道均衡，线性滤波器理论的结果由于其设计和实现简单而受到广泛关注。然而，在电信系统中，它们对于速率高于4800比特/秒的电话信道将不能充分地执行，因为传输数据的错误概率几乎完全由非线性失真引起。在非线性滤波应用（例如非线性系统的系统识别和噪声消除器）中已经相对成功地使用的非常常见的系统模型是沃尔泰拉系统模型。沃尔泰拉模型是由泰勒级数展开式的推广--沃尔泰拉级数展开式表示的，本文设计了基于沃尔泰拉模型的非线性均衡器，并通过仿真验证了所设计均衡器的有效性。

项目成果

Hai Lin: "Two-Dimensional Modified Correlation Least Mean Squares Algorithm"IEICE Trans. On Information and Systems,. E83-D,No.9. 1816-1818 (2000)

海林：《二维修正相关最小均方算法》IEICE Trans．

Katsumi Yamashita: "Orthogonal ECLMS Algorithm for Double-Talk Echo Cancelling"Proc.of IMACS Symp.on Mathematical Modelling. Vol.2. 829-832 (2000)

Katsumi Yamashita：“用于双讲回声消除的正交 ECLMS 算法”Proc.of IMACS Symp.on 数学建模。

K.Yamashita, A.Shimabukuro and M.R.Asharif: "Orthogonal ECLMS Algorithm for Double-talk Echo Cancelling"Mathematics and Computers in Simulation. 53, No.4-6. 437-442 (2000)

K.Yamashita、A.Shimabukuro 和 M.R.Asharif：“双讲回声消除的正交 ECLMS 算法”模拟中的数学和计算机。

Mohammad Reza Asharif: "Design of Echo Canceler with Frequency Domain ECLMS Algorithm"Proc.of IEEE Globecom. 1649-1653 (2000)

Mohammad Reza Asharif：“采用频域 ECLMS 算法设计回声消除器”Proc.of IEEE Globecom。

Hai Lin: "The Two-Dimensional Extended Correlation Least Mean Squares(2-D)ECLMS Algorithm"Proc.of IEEE Int.Conf.on SMC. Vol.2. 900-903 (1999)

海林：“二维扩展相关最小均方（2-D）ECLMS算法”Proc.of IEEE Int.Conf.on SMC。