Korenberg et al., 1990 - Google Patents
The identification of nonlinear biological systems: Wiener kernel approachesKorenberg et al., 1990
- Document ID
- 6010253937713781446
- Author
- Korenberg M
- Hunter I
- Publication year
- Publication venue
- Annals of biomedical engineering
External Links
Snippet
Detection, representation, and identification of nonlinearities in biological systems are considered. We begin by briefly but critically examining a well-known test of system nonlinearity, and point out that this test cannot be used to prove that a system is linear. We …
- 238000004040 coloring 0 abstract description 4
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
- G06F17/13—Differential equations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/50—Computer-aided design
- G06F17/5009—Computer-aided design using simulation
- G06F17/5036—Computer-aided design using simulation for analog modelling, e.g. for circuits, spice programme, direct methods, relaxation methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/14—Fourier, Walsh or analogous domain transformations, e.g. Laplace, Hilbert, Karhunen-Loeve, transforms
- G06F17/141—Discrete Fourier transforms
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Korenberg et al. | The identification of nonlinear biological systems: Wiener kernel approaches | |
Korenberg et al. | The identification of nonlinear biological systems: Volterra kernel approaches | |
Victor | Nonlinear systems analysis in vision: overview of kernel methods | |
Feichtinger et al. | Theory and practice of irregular sampling | |
Kasdin | Discrete simulation of colored noise and stochastic processes and 1/f/sup/spl alpha//power law noise generation | |
Korenberg et al. | The identification of nonlinear biological systems: LNL cascade models | |
Korenberg et al. | Exact orthogonal kernel estimation from finite data records: extending Wiener's identification of nonlinear systems | |
De Leeuw et al. | Additive structure in qualitative data: An alternating least squares method with optimal scaling features | |
MacNeil et al. | Identification of time-varying biological systems from ensemble data (joint dynamics application) | |
Arneodo et al. | Random cascades on wavelet dyadic trees | |
Baker et al. | Inverting chaos: Extracting system parameters from experimental data | |
White et al. | An envelope-following approach to switching power converter simulation | |
Bohlin | Analysis of EEG signals with changing spectra using a short-word Kalman estimator | |
Dubey et al. | On the existence and uniqueness analysis of fractional blood glucose-insulin minimal model | |
Barlas | An autocorrelation function test for out put validation | |
Strube | Bootstrap Type I error rates for the correlation coefficient: An examination of alternate procedures. | |
Martinez | On the reconstruction of unknown driving forces from low-mode observations in the 2D Navier–Stokes equations | |
Kundert et al. | Finding the steady-state response of analog and microwave circuits | |
Walker et al. | Radial-basis models for feedback systems with fading memory | |
Lucchese et al. | Estimation and inference for multivariate continuous-time autoregressive processes | |
Marmarelis | Nonlinear modeling of physiological systems using principal dynamic modes | |
Small et al. | Characterizing nonlinearity in ventricular fibrillation | |
French | The systems analysis approach to mechanosensory coding | |
Lakshmi et al. | Evaluation of generation system reliability indices by fast transform techniques | |
Wu et al. | Identification of nonlinear systems using random amplitude Poisson distributed input functions |