Skip to main navigation
Skip to search
Skip to main content
Tampere University Research Portal Home
Help & FAQ
English
Suomi
Home
Profiles
Research outputs
Research units
Activities
Datasets
Research Infrastructures
Press/Media
Prizes
Search by expertise, name or affiliation
Several approaches to cost function adaptation and phase approximation
C. G. Rusu
Research output
:
Book/Report
›
Doctoral thesis
›
Monograph
353
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Several approaches to cost function adaptation and phase approximation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Adaptation
100%
Phase Approximation
100%
Cost Function
100%
Error Exponent
54%
Adaptive Algorithm
27%
Non-recursive
18%
Actual Error
18%
Echo Cancellation
18%
Logarithmic Domain
18%
Convergence Rate
9%
Phase Relationship
9%
Quadratic Algorithm
9%
Variable Step Size Algorithm
9%
Error Statistics
9%
Speed Error
9%
Finite number
9%
Main Class
9%
Approximation Formula
9%
General Rules
9%
Other-benefit
9%
Non-Gaussian
9%
Noise Statistics
9%
Exponent Parameter
9%
Gradient Approach
9%
Numerical Examples
9%
Residual Error
9%
Newton-Cotes Rule
9%
Staircase
9%
Signaling Environment
9%
Minimum-phase Functions
9%
Hilbert Transform
9%
Quadrature Formula
9%
Adaptive Estimation
9%
Estimation Theory
9%
Approach Phase
9%
Least Squares Optimization
9%
Higher Order Metrics
9%
Adaptation Approaches
9%
Phase Value
9%
Training Symbol
9%
Optimum Cost
9%
Stochastic Gradient Algorithm
9%
Performance Enhancement
9%
Least Mean Square
9%
Channel Dispersion
9%
Recursive Formula
9%
Full Knowledge
9%
Non-quadratic
9%
Error Metrics
9%
Gibbs Phenomenon
9%
Adaptation Case
9%
Simpson's Rule
9%
Engineering
Cost Function
100%
Recursive
36%
Metrics
27%
Echo Cancellation
18%
Logarithmic Domain
18%
Comparable Result
9%
Frequency Domain
9%
Gaussians
9%
Gradient Approach
9%
Newton-Cotes Rule
9%
Finite Number
9%
Least Mean Square
9%
Simpson's Rule
9%
Channel Dispersion
9%
Stochastic Gradient Algorithm
9%
Numerical Example
9%
Derivative Gain
9%
Step Size α
9%
Convergence Speed
9%
Bode Gain
9%
Least Square
9%
Approach Phase
9%
Gibbs Free Energy
9%
Mathematics
Cost Function
100%
Gaussian Distribution
9%
Least Square
9%
Basic Assumption
9%
Estimation Theory
9%
Finite Number
9%
Gibbs Phenomenon
9%
Error Statistic
9%
Same Direction
9%
Metric Order
9%
Related Result
9%
Quadrature Formula
9%
Square Optimization
9%
Hilbert Transform
9%
Residuals
9%
Step Size
9%
Stochastics
9%
Direct Relationship
9%
Recursive Equation
9%
Mean Square
9%
Frequency Domain
9%
Simpson's Rule
9%
Main Class
9%
Numerical Example
9%