Pseudorandom maximum length signal design with bias compensation least squares estimation for system identification

QR Code

Pseudorandom maximum length signal design with bias compensation least squares estimation for system identification

The effect of input and output noise towards the identification of the best linear approximation of a system is investigated. This leads to the problem of errors-in-variables (EIV). The effectiveness of one particular EIV method, namely the bias compensation least squares estimation method, is analy...

Full description

Bibliographic Details
Main Authors:	Foo, Mathias Fui Lin, Tang, Ai Hui, Basu, Kartik Prasad
Format:	Conference or Workshop Item
Published:	2007
Subjects:	T Technology (General) QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/3275/

Similar Items

Design of Computer-Optimized Pseudorandom Maximum Length Signals for Linear Identification in the Presence of Nonlinear Distortions
by: Tan, A.H., et al.
Published: (2005)

Design of Truncated Maximum Length Ternary Signals Where Their Squared Versions Have Uniform Even Harmonics
by: Tan, Ai Hui
Published: (2007)

Ternary pseudorandom signal design for uniform excitation and reduced effect of nonlinear distortion
by: Tan, A.H., et al.
Published: (2006)

Nonlinear Compensator Design For Bilinear Systems
by: Foo, Mathias Fui Lin
Published: (2004)

Nonlinear Compensator Design For Bilinear Systems
by: Foo, Mathias Fui Lin
Published: (2004)

Assessing website usability attributes using partial least squares
by: Nur Sukinah, Aziz, et al.
Published: (2014)

A New Trend of Pseudorandom Number Generator using Multiple Chaotic Systems
by: Saba, M. Ismail, et al.
Published: (2018)

Short term forecasting based on hybrid least squares support vector machines
by: Zuriani, Mustaffa, et al.
Published: (2018)

Nonlinear least squares
by: Teunissen, Peter
Published: (1990)

Integer least-squares
by: Teunissen, Peter
Published: (2004)

Nonlinearity and Least-Squares.
by: Teunissen, Peter, et al.
Published: (1988)

The use of pseudorandom sweeps for vibroseis surveys
by: Dean, Timothy
Published: (2014)

Chaotic pseudorandom sequences and the security of cryptosystems
by: Hina, Aliyu Danladi, et al.
Published: (2015)

Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns
by: Lei, I. L., et al.
Published: (2021)

Rice Predictive Analysis Mechanism Utilizing Grey Wolf Optimizer-Least Squares Support Vector Machines
by: Zuriani, Mustaffa, et al.
Published: (2015)

Identification of direction-dependent processes using maximum length ternary signals
by: Tan, A.H.
Published: (2003)

Surface and downhole recording of pseudorandom vibroseis sweeps
by: Dean, Timothy, et al.
Published: (2015)

Bias and consistency of the maximum Sharpe ratio
by: Maller, R., et al.
Published: (2005)

Hybrid least squares support vector machines for short term predictive analysis
by: Zuriani, Mustaffa, et al.
Published: (2017)

Estimating weibull parameters using maximum likelihood estimation and ordinary least squares: simulation study and application on meteorological data
by: Mohd Ikbal, Nawal Adlina, et al.
Published: (2022)

Generation and statistical analysis of chaos-based pseudorandom sequences
by: Hina, Aliyu Danladi
Published: (2019)

Least-squares collocation with integer parameters
by: Teunissen, Peter
Published: (2006)

Integer aperture least-squares estimation
by: Teunissen, Peter
Published: (2005)

The GPS integer least-squares statistics.
by: Teunissen, Peter
Published: (2000)

Least-squares variance component estimation
by: Teunissen, Peter, et al.
Published: (2008)

Adaptive antenna array beamforming using a concatenation of recursive least square and least mean square algorithms
by: Srar, Jalal Abdulsayed
Published: (2011)

Implementation of Good Corporate Governance in Creating Bank Performance Sustainability Using Partial Least Square Method
by: Agus, Supriyatna, et al.
Published: (2022)

Validating the usability attributes of AHP-software risk prioritization model using partial least square-structural equation modeling
by: Anthony, Bokolo Jnr.
Published: (2019)

Covid-19 confirmed cases prediction in china based on barnacles mating optimizer-least squares support vector machines
by: Zuriani, Mustaffa, et al.
Published: (2021)

Variance Component Estimation by the Method of Least-Squares
by: Teunissen, Peter, et al.
Published: (2008)

An optimal property of the integer least-squares estimator
by: Teunissen, Peter
Published: (1999)

Dynamic Data Processing; Recursive Least Squares.
by: Teunissen, Peter
Published: (2001)

Recursive Least-Squares Filtering of Pseudorange Measurements
by: Le, A., et al.
Published: (2006)

Integer Least-squares Theory for the GNSS Compass
by: Teunissen, Peter
Published: (2010)

Available Transfer Capability and Least Square Method
by: Hojabri, Mojgan, et al.
Published: (2012)

Available transfer capability and least square method
by: Hojabri, Mojgan, et al.
Published: (2012)

Online system identification development based on recursive weighted least square neural networks of nonlinear hammerstein and wiener models.
by: Kwad, Ayad Mahmood
Published: (2022)

Investigating determinants of innovation performance maturity in Malaysian private universities: A partial least squares structural equation modelling analysis
by: Ainin Zakiah, Othman, et al.
Published: (2024)

Extremiles: a new perspective on asymmetric least squares
by: Stupfler, Gilles, et al.
Published: (2019)

Numerical Analysis in Nonlinear Least Squares Methods and Applications
by: Eu, Christina Nguk Ling
Published: (2017)