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System Identification in Speech Signal Using Modified Kalman Based Normalized Least Mean Square (NLMS) Algorithm

机译：基于修改的Kalman的标准化最小均方（NLMS）算法的语音信号中的系统识别

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Rathnakara .S;
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1. Modified Kalman Filter-based Approach in Comparison with Traditional Speech Enhancement Algorithms from Adverse Noisy Environments [J] . G. Ramesh Babu, Rameshwara Rao International Journal on Computer Science and Engineering . 2011,第2期

机译：改进的基于卡尔曼滤波器的方法与不利噪声环境中传统语音增强算法的比较
2. Identification of Noisy Speech Signals using Bispectrum-based 2D-MFCC and Its Optimization through Genetic Algorithm as a Feature Extraction Subsystem [J] . BENYAMIN KUSUMOPUTRO, AGUS BUONO, LINA WSEAS Transactions on Computers . 2012,第7a9期

机译：基于双谱的二维MFCC识别语音噪声信号及其作为特征提取子系统的遗传算法优化
3. ARTIFACT REMOVAL IN ECG SIGNALS USING MODIFIED DATA NORMALIZATION BASED SIGNAL ENHANCEMENT UNITS FOR HEALTH CARE MONITORING SYSTEMS [J] . NAGESH MANTRAVADI, S.V.A.V. PRASAD, MD ZIA UR RAHMAN Journal of Theoretical and Applied Information Technology . 2016,第2期

机译：基于修正数据归一化的健康监护系统信号增强单元去除ECG信号中的伪像
4. A Convex-Combined Step-Size-Based Normalized Modified Filtered-x Least Mean Square Algorithm for Impulsive Active Noise Control Systems [C] . Muhammad Tahir Akhtar European Signal Processing Conference . 2018

机译：脉冲主动噪声控制系统的基于凸组合步长的归一化修正x最小均方算法
5. Improvement of Prony -based least square method of system identification via nonlinear parameter transformation and finite -difference processing of signals. [D] . Wu, Chih-Hao. 2000

机译：通过信号的非线性参数变换和有限差分处理，改进了基于Prony的最小二乘系统识别方法。
6. Identification of Shearer Cutting Patterns Using Vibration Signals Based on a Least Squares Support Vector Machine with an Improved Fruit Fly Optimization Algorithm [O] . Lei Si, Zhongbin Wang, Xinhua Liu, 2016

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7. Playout scheduling technique based on normalized least mean square (NLMS) algorithm [O] . Al-Khalifa Salah Hussain 2006

机译：基于归一化最小均方（NLms）算法的播出调度技术
8. Development of Algorithms for Travel Time-Based Traffic Signal Timing, Phase I: A Hybrid Extended Kalman Filtering Approach for Traffic Density Estimation along Signalized Arterials [R] . Liu, H. X., Di, X. 2010

机译：基于行程时间的交通信号配时算法的发展，第一阶段：基于信号干线的交通密度估计的混合扩展卡尔曼滤波方法

System Identification in Speech Signal Using Modified Kalman Based Normalized Least Mean Square (NLMS) Algorithm

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