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Showing
1 - 10
results out of
31
for
'
Expansion
'
Sturm-Louiville Problems: Eigenfunction, Orthogonal Functional Series, Eigenfunction Expansions
Sturm-Louiville Problems: Eigenfunction, Orthogonal Functional Series, Eigenfunction Expansions
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On September 9, 2008
Views: 573
Course:
Mathematics for Materials Scientists and...
Main Category:
Materials Engineering
Tags:
Eigenfunction
Expansions
Louiville
Orthogonal
Sturm
Periodic Functions: Fourier Series, Interpretation of Fourier Coefficients, Convergence, Odd and Even Expansions
Periodic Functions: Fourier Series, Interpretation of Fourier Coefficients, Convergence, Odd and Even Expansions
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On September 9, 2008
Views: 824
Course:
Mathematics for Materials Scientists and...
Main Category:
Materials Engineering
Tags:
Coefficients
convergence
Expansion
Fourier
Periodic
Notes on Asymptotic Expansions
Notes on Asymptotic Expansions
By
Ivan Avramidi
, New Mexico Institute of Mining & Technology, New Mexico, On December 6, 2008
Views: 808
Main Category:
Analysis
Tags:
Asymptotic
Expansions
Determinants Lecture11
Determinants Lecture11
By
dan sant
, las vegas, On January 15, 2009
Views: 162
Course:
Algebraic Algorithms
Main Category:
Algorithms
Tags:
Determinants
Elimination
Expansion
Gaussian
Matrices
minors
sparse
Asymptotic Expansions of Integrals
Asymptotic Expansions of Integrals
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 9, 2008
Views: 249
Course:
Advanced analytic methods
Main Category:
Analysis
Tags:
Asymptotic
Expansions
integrals
9 - Extended Kalman Filter
9 - Extended Kalman Filter
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 26, 2008
Views: 391
Course:
Identification, Estimation, and Learning...
Main Category:
Mechanical engineering
Tags:
Akaike's
Asymptotic
Bound
Central
Cramer-Rao
criterion
design
Distance
estimate
estimates
experiment
function_approximation_theory
information
informative_data_sets
Kalman_filters
Kullback-Leibler
Likelihood
limit
Lower
Maximum
Model
model_validation.
neural_nets
noise_dynamics
Order
persistent_excitation
radial_basis_functions
Selection
Structure
System
system_representation
theorems
unbiased
Variance
Volterra_expansions
wavelets
8 - Continuous Kalman Filter
8 - Continuous Kalman Filter
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 26, 2008
Views: 937
Course:
Identification, Estimation, and Learning...
Main Category:
Mechanical engineering
Tags:
Akaike's
Asymptotic
Bound
Central
Cramer-Rao
criterion
design
Distance
estimate
estimates
experiment
function_approximation_theory
information
informative_data_sets
Kalman_filters
Kullback-Leibler
Likelihood
limit
Lower
Maximum
Model
model_validation.
neural_nets
noise_dynamics
Order
persistent_excitation
radial_basis_functions
Selection
Structure
System
system_representation
theorems
unbiased
Variance
Volterra_expansions
wavelets
7 - Discrete Kalman Filter 2
7 - Discrete Kalman Filter 2
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 26, 2008
Views: 713
Course:
Identification, Estimation, and Learning...
Main Category:
Mechanical engineering
Tags:
Akaike's
Asymptotic
Bound
Central
Cramer-Rao
criterion
design
Distance
estimate
estimates
experiment
function_approximation_theory
information
informative_data_sets
Kalman_filters
Kullback-Leibler
Likelihood
limit
Lower
Maximum
Model
model_validation.
neural_nets
noise_dynamics
Order
persistent_excitation
radial_basis_functions
Selection
Structure
System
system_representation
theorems
unbiased
Variance
Volterra_expansions
wavelets
6 - Discrete Kalman Filter 1
6 - Discrete Kalman Filter 1
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 26, 2008
Views: 3010
Course:
Identification, Estimation, and Learning...
Main Category:
Mechanical engineering
Tags:
Akaike's
Asymptotic
Bound
Central
Cramer-Rao
criterion
design
Distance
estimate
estimates
experiment
function_approximation_theory
information
informative_data_sets
Kalman_filters
Kullback-Leibler
Likelihood
limit
Lower
Maximum
Model
model_validation.
neural_nets
noise_dynamics
Order
persistent_excitation
radial_basis_functions
Selection
Structure
System
system_representation
theorems
unbiased
Variance
Volterra_expansions
wavelets
5 - Random Processes, Active Noise Cancellation
5 - Random Processes, Active Noise Cancellation
By
Bar tender
, Massachusetts Institute of Technology, Massachusetts, On August 26, 2008
Views: 305
Course:
Identification, Estimation, and Learning...
Main Category:
Mechanical engineering
Tags:
Akaike's
Asymptotic
Bound
Central
Cramer-Rao
criterion
design
Distance
estimate
estimates
experiment
function_approximation_theory
information
informative_data_sets
Kalman_filters
Kullback-Leibler
Likelihood
limit
Lower
Maximum
Model
model_validation.
neural_nets
noise_dynamics
Order
persistent_excitation
radial_basis_functions
Selection
Structure
System
system_representation
theorems
unbiased
Variance
Volterra_expansions
wavelets
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