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Showing 1 to 20 of 24 for “"Volterra series"”.
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Fast Algorithms for Volterra-Series-Based Nonlinear Adaptive Filters
… algorithms for the second-order adaptive Volterra filter are developed in Chapter 2. By utilizing the special structure of the input correlation matrix of the Volterra filter the two algorithms essentially implement quasi-Newton algorithm with $O\lbrack {\rm N}\sp2\rbrack$ computational …
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Model Predictive Control of a Nonlinear Aeroelastic System Using Volterra Series Representations
… the potential effectiveness of using a Volterra-based Model Predictive Control strategy to control a nonlinear aeroelastic system. Model Predictive Control (MPC), also known as Receding Horizon Control (RHC), entails computing optimal control inputs over a finite time horizon, applying a …
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Machine learning approach for high speed link modeling and IBIS-AMI model generation
… and verification. We started with developing a Volterra series model by extracting the Volterra kernels using feed forward neural networks. We proposed a monomial power series neural network (MPSNN) which can extract Volterra kernels that relate to nonlinearity up to the third order. We …
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Frequency Domain Identification of Block-oriented Nonlinear Systems
… nonlinear systems which can be modelled by the Volterra series. The methodology is based on the application of specially designed multisine test signals which allow second and third order terms of the Volterra series, so-called Volterra kernels, to be measured directly and the structure of the …
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Optimal nonlinear digital signal processing : a dynamical systems approach
… that when the nonlinearity is represented by a Volterra series model the resulting baseband equivalent model is a series interconnection of a discrete-time Volterra series model, of the same degree and equivalent memory depth, and a linear system. The result suggests a new, analytically …
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Digital equalization techniques for the compensation of nonlinear impairments in long-haul coherent optical communication systems
… (DBP) and a semi-analytical method based on Volterra series. These methods have been applied to the equalization of nonlinear distortion in optical super-channels either on a channel-by-channel or on a multi-channel basis. Recently-published results have revealed that a multi-channel …
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Circuit modeling and optimization techniques for next-generation radar.
… for use in receiver circuits using the Volterra Series. Both of these contributions are expected to enhance design and implementation of future radar systems.
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Assessment of Future Impact of Climate Change on Structural Protections and Hydrological Extremes – Floods
… downscaling model called SDCRR, using the Volterra series realization, principal components, and ridge regression. The model was applied at four stations in the Manawatu catchment to downscale daily rainfall. The performance of the SDCRR model was compared with that of the widely used …
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Volterra System Analysis for an Electrochemical Sensor
… strategy is to model the liquid using a Volterra series representation. This work will document the integration of Volterra system identification capabilities within the sensor and its performance when modelling different liquid media as well as modifications made to the sensor for the …
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Stochastic chaos and thermodynamic phase transitions : theory and Bayesian estimation algorithms
… In Part II, we develop techniques based on Volterra series modeling and Bayesian non-linear filtering to distinguish between dynamic noise and measurement noise. We quantify how much of the system's ergodic behavior can be attributed to intrinsic deterministic dynamical properties vis-a-vis …
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Unsteady aerodynamics for aeroelastic applications using the impulse response method
… to generate arbitrary responses, the later the Volterra series. Linear results for both rigid and flexible bodies are encouraging. Predictions for a range of input motions closely match the unsteady response from PMARC for the same motion. However, for harmonic motion accuracy erodes for f …
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Identification of nonlinear systems by correlation using pseudorandom signals
… on m sequences. The systems are characterised by Volterra series, and analytical expressions relating the rth order Volterra kernel to r-dimensional crosscorrelation measurements are derived. It is shown that the two-dimensional crosscorrelation measurements are related to the corresponding second …
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Compensation of nonlinear distortion in RF amplifiers for mobile communications
… Different methods for modelling are used, as the Volterra series, polynomial models, look-up tables, the Hammerstein models, the Wiener models, and artificial intelligence systems. For predistortion feedback, feedforward and digital predistortion techniques are used. Among digital predistortion …
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Design and implementation of adaptive baseband predistorter for OFDM nonlinear transmitter. Simulation and measurement of OFDM transmitter in presence of RF high power amplifier nonlinear distortion and the development of adaptive digital predistorters based on Hammerstein approach.
… memory effects, such as those based on Volterra series and Neural Networks. In addition, nonlinear and linear crosstalks introduced by the power amplifier nonlinear behaviour and antennas mutual coupling due to the compact size of a MIMO OFDM transmitter have been investigated.
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Digital calibration of nonlinear memory errors in sigma-delta ADCs
… sigma-delta (ΣΔ) modulators. A sequential power series (a special form of Volterra series) is found sufficient to model the nonlinear memory errors in a discrete-time integrator (DTI), which entails the application of adaptive polynomial transversal filtering for DTI error correction. For the …
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Recognition of Severe Congestive Heart Failure using Parallel Cascade Identification
In previous studies on heartbeat series, it has been proposed that the healthy heartbeat pattern represents complex nonlinear dynamics, and such cardiac nonlinearity may be used as a clinical indicator for the diagnosis of certain types of heart disease. However, it is still not quite clear whether …
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Efficient Identification and Control Methods For Nonlinear Systems Under Uncertainty
… facility are presented using second order Volterra series models and a NMPC formulation that uses hard constraints on the actuator inputs. Realistic process data was generated using a dynamic refinery model simulated by Aspen HYSYS. This data was then used to determine the optimal model for …
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Use of Nonlinear Volterra Theory in Predicting the Propagation of Non-uniform Flow Through an Axial Compressor
… excitation entering a blade row, the nonlinear Volterra series can serve as a predictor of the downstream total pressure profile and therefore provide insight into the potential for HCF in downstream blade rows. This report presents the adaption of nonlinear Volterra theory to the prediction of …
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Analysis and Characterization of Fiber Nonlinearities with Deterministic and Stochastic Signal Sources
… the perturbation approach is equivalent to the Volterra series approach. Secondly, root-mean-square (RMS) widths both in the time domain and in the frequency domain are modeled. It is shown that there exists an optimal input pulse width to minimize output pulse width based on the derived RMS …
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Decision-feedback equalisation with fixed-lag smoothing in nonlinear channels.
… channel, both described by truncated Volterra series. Section 2.3 treats the case of MPSK and MQAM signalling, and section 2.4 treats the case of BPSK signalling. The discrete probability distribution function of the FLSDFE output estimator is given in each case. Chapter 3 introduces …
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