Optimal selection of time lags for TDSEP based on genetic algorithm

نویسندگان

  • Zhan-Li Sun
  • De-Shuang Huang
  • Chun-Hou Zheng
  • Li Shang
چکیده

In this letter, a two-step learning scheme for the optimal selection of time lags is proposed for a typical temporal blind source separation (TBSS), Temporal Decorrelation source SEParation algorithm (abbreviated as TDSEP). Given the time lags, the time-delayed second-order correlation matrices are first diagonalized simultaneously. Then, a genetic algorithm is used to update the time lags. Finally, experimental results demonstrate that the proposed method can efficiently accomplish the aforementioned task. r 2005 Elsevier B.V. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Optimal Selection of Induction Heating Capacitance by Genetic Algorithm Considering Dissipation Loss Caused by ESR (TECHNICAL NOTE)

In design of a parallel resonant induction heating system, choosing a proper capacitancefor the resonant circuit is quite important. The capacitance affects the resonant frequency, outputpower, Q-factor, heating efficiency and power factor. In this paper, the role of equivalent seriesresistance (ESR) in the choice of capacitance is significantly recognized. Optimal value of resonancecapacitor i...

متن کامل

شبیه سازی طرح های بهینه اصلاح نژادی هسته باز به منظور بهبود صفات رشد و ترکیب لاشه بره های لری بختیاری

     The objectives of this research were to simulate and optimize three open nucleus breeding schemes for improvement of growth traits and carcass composition in Lori-Bakhtiari lambs with 500 ewes in nucleus using a deterministic approach. These schemes were: scheme 1 with natural mating and mating ratio (M) of 50 ewes per ram in nucleus and member flocks (base), scheme 2 with artificial insem...

متن کامل

Optimal Feature Extraction for Discriminating Raman Spectra of Different Skin Samples using Statistical Methods and Genetic Algorithm

Introduction: Raman spectroscopy, that is a spectroscopic technique based on inelastic scattering of monochromatic light, can provide valuable information about molecular vibrations, so using this technique we can study molecular changes in a sample. Material and Methods: In this research, 153 Raman spectra obtained from normal and dried skin samples. Baseline and electrical noise were eliminat...

متن کامل

Optimal Portfolio Allocation based on two Novel Risk Measures and Genetic Algorithm

The problem of optimal portfolio selection has attracted a great attention in the finance and optimization field. The future stock price should be predicted in an acceptable precision, and a suitable model and criterion for risk and the expected return of the stock portfolio should be proposed in order to solve the optimization problem. In this paper, two new criterions for the risk of stock pr...

متن کامل

Optimization of Beam Orientation and Weight in Radiotherapy Treatment Planning using a Genetic Algorithm

Introduction: The selection of suitable beam angles and weights in external-beam radiotherapy is at present generally based upon the experience of the planner. Therefore, automated selection of beam angles and weights in forward-planned radiotherapy will be beneficial. Material and Methods: In this work, an efficient method is presented within the MATLAB environment to investigate how to improv...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Neurocomputing

دوره 69  شماره 

صفحات  -

تاریخ انتشار 2006