首页> 外国专利> A METHOD FOR IMPROVING COMPUTATIONAL EFFICIENCY OF ESTIMATION OF THE FUNDAMENTAL FREQUENCY OF PERIODIC SIGNALS

A METHOD FOR IMPROVING COMPUTATIONAL EFFICIENCY OF ESTIMATION OF THE FUNDAMENTAL FREQUENCY OF PERIODIC SIGNALS

机译：一种提高周期信号基本频率估计的计算效率的方法

页面导航

摘要
著录项
相似文献

摘要

According to the present invention there is provided a method for computing the exact NLS cost function for real-valued data very efficiently on a Fourier grid for all model orders up to L. Specifically, the method reduces the computational complexity to the same order as that of the harmonic summation method, i.e., O(F log F) + O(FL). The method comprises solving the equation (35) for α_l, where solving the equation comprises the steps of: (i) partitioning the matrix A|(ω₀) into Toeplitz and Hankel matrixes; (ii) selecting a start index n₀; (iii) separating the equation (35) into a system of two equations: (51, 52) and solving the system of two equations (51, 52).

机译：根据本发明，提供了一种用于在高达L的所有模型阶上非常有效地在傅立叶网格上为实值数据高效地计算精确的NLS成本函数的方法。特别地，该方法将计算复杂度降低到与谐波求和方法，即 O （F log F）+ O （FL）。该方法包括求解α_{l 的方程式（35），其中求解方程式包括以下步骤：（i）将矩阵A |（ω_{0 ）划分为Toeplitz和汉克尔矩阵; （ii）选择起始索引n _{0 ; （iii）将等式（35）分成两个等式（51、52）的系统，并求解两个等式（51、52）的系统。}}} 展开▼

著录项

公开/公告号WO2017045687A1

专利类型

公开/公告日2017-03-23

原文格式PDF

申请/专利权人 BANG AND OLUFSEM A/S;
展开▼

申请/专利号WO2016DK00032

发明设计人 NIELSEN JESPER KJAER;JENSEN TOBIAS LINDSTROM;
展开▼

申请日2016-09-06

分类号G06F17/14;G10L25/90;

国家 WO

入库时间 2022-08-21 13:31:44

相似文献

专利

外文文献

中文文献

1. 一种提高IDMA系统基本信号估计精度的方法 [P] . 中国专利： CN106899326B . 2019.07.09

2. 一种提高IDMA系统基本信号估计精度的方法 [P] . 中国专利： CN106899326A . 2017-06-27

3. System and method for robust estimation and tracking the fundamental frequency of pseudo periodic signals in the presence of noise [P] . 美国专利： US8949118B2 . 2015-02-03

机译：在存在噪声的情况下用于鲁棒估计和跟踪伪周期信号的基频的系统和方法

4. SYSTEM AND METHOD FOR ROBUST ESTIMATION AND TRACKING THE FUNDAMENTAL FREQUENCY OF PSEUDO PERIODIC SIGNALS IN THE PRESENCE OF NOISE [P] . 世界知识产权组织专利： WO2013140399A1 . 2013-09-26

机译：存在噪声时鲁棒估计和跟踪伪周期信号基本频率的系统和方法

5. System and Method for Robust Estimation and Tracking the Fundamental Frequency of Pseudo Periodic Signals in the Presence of Noise [P] . 美国专利： US2013246062A1 . 2013-09-19

机译：存在噪声时鲁棒估计和跟踪伪周期信号基本频率的系统和方法

1. IMPROVING THE FREQUENCY RESOLUTION OF DIGITALLY SYNTHESIZED PERIODIC SIGNALS BY A SEQUENTIAL ADDRESSING SCHEME [J] . Tian Xinguang, Duan Miyi, Sun Chunlai, 电子科学学刊（英文版） . 2008,第005期

2. DOA estimation method for wideband signals by sparse recovery in frequency domain [J] . Jiaqi Zhen, Zhifang Wang 系统工程与电子技术（英文版） . 2017,第005期

3. An Improved Lower Order Method of Modal Parameter Estimation for Offshore Structures Using Reconstructed Signals [J] . LIU Fushun, QIN Junfei, LI Huajun, 中国海洋大学学报（英文版） . 2015,第006期

4. Improving forest burn severity estimations with partial least squares regression and orthogonal signal correction methods in Daxing'an Mountains, China [J] . Cunyong Ju, Tijiu Cai, Wenhong Li, 林业研究（英文版） . 2021,第003期

5. On the truncation of time frequency distributions to improve the computational performance in the estimation of fundamental parameters of a Doppler ultrasound blood flow signal [J] . Rubio-Acosta Ernesto, Solano-Gonzalez Julio, Fabian Garcia-Nocetti Demetrio, Biomedical signal processing and control . 2019,第Sepa期

6. On the truncation of time frequency distributions to improve the computational performance in the estimation of fundamental parameters of a Doppler ultrasound blood flow signal [J] . Rubio-Acosta Ernesto, Solano-Gonzalez Julio, Fabian Garcia-Nocetti Demetrio, Biomedical signal processing and control . 2019,第SEPa期

7. Instantaneous fundamental frequency estimation of non-stationary periodic signals using non-linear recursive filters [J] . Hajimolahoseini Habib, Amirfattahi Rassoul, Soltanian-Zadeh Hamid, Signal Processing, IET . 2015,第2期

8. An adaptive "quasi" repetitive controller for the fundamental frequency estimation of periodic signals [C] . G. Fedele, A. Ferrise, P. Muraca IFAC World Congress . 2014

9. Improving the computational efficiency of subspace algorithms for frequency estimation of sinusoidal signals [D] . Wallace, Thomas Henry 1994

10. A method for estimation of fundamental frequency for tonal sounds inspired on bird song studies [O] . Cecilia Jarne 2019

11. Efficient methods for joint estimation of multiple fundamental frequencies in music signals [O] . Antonio Pertusa, José M. Iñesta 2012

1. Comparison of computation time for estimation of dominant frequency of atrial electrograms: Fast fourier transform, blackman tukey, autoregressive and multiple signal classification [J] . Anita Ahmad ,Fernando Soares Schlindwein ,Ghulam André Ng . 生物医学工程（英文） . 2010,第9期

2. 一种提高频率估计精度的方法 [C] . 王心怡 ,郝铁伟 ,王冀锋 . 第三届全国信号和智能信息处理与应用学术会议 . 2009

3. 一种利用机器学习策略提高复杂性状全基因组预测准确性及计算效率的方法开发 [A] . 尹立林 . 2020