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Local maxima

Local maxima of a random algebraic polynomial

Local maxima of a random algebraic polynomial

... 1. Introduction. A significant amount has been written concerning the mean num- ber of crossings of a fixed level, by both stationary and nonstationary normal pro- cesses. Farahmand [5] has given a formula for the expected ...

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Non Parametric Local Maxima and Minima Finder with Filtering Techniques for Bioprocess

Non Parametric Local Maxima and Minima Finder with Filtering Techniques for Bioprocess

... Once the extrema points are identified, a filtration step is unavoidable to identify the dominant or relevant extrema. Magnitude of prominences and the widths at half prominence are two properties of signals that are ...

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Automatic identification of epileptic and background EEG signals using frequency domain parameters

Automatic identification of epileptic and background EEG signals using frequency domain parameters

... The analysis of electroencephalograms continues to be a problem due to our limited understanding of the signal origin. This limited understanding leads to ill-defined models, which in turn make it hard to design effective ...

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MPP Technique Using PSO With Inertia Under Dynamic Environmental Conditions

MPP Technique Using PSO With Inertia Under Dynamic Environmental Conditions

... Abstract: The output power in PV module depends upon the solar irradiance and atmospheric conditions. Maximum power does not fluctuate under uniform environmental conditions. However, during the varying atmospheric ...

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Application of Derivatives

Application of Derivatives

... Thus, x = 1 is the only critical point of f . We shall now examine this point for local maxima and/or local minima of f. Observe that f ′(x) ≥ 0, for all x ∈ R and in particular f ′(x) > 0, for ...

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AGui Based Hybrid Clustering Technique for Brain Tumor Segmentation and Validation in Mri Images

AGui Based Hybrid Clustering Technique for Brain Tumor Segmentation and Validation in Mri Images

... It is initialized with values for unknown (hidden) variables. Since EM uses maximum likelihood it most likely converges to local maxima, around the beginning value[r] ...

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Simulated annealing on uncorrelated energy landscapes

Simulated annealing on uncorrelated energy landscapes

... However, even uncorrelated functions possess a certain combinatorial structure regarding optimization For instance, as pointed out in [3], fitter local maxima tend to have larger basins [r] ...

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Classification of Iranian traditional musical modes (DASTGÄH) with artificial neural network

Classification of Iranian traditional musical modes (DASTGÄH) with artificial neural network

... 20 local maxima of frequency intervals associated with the frequency spectrum of musical tracks played by NEY instrument, were given to the neural network as ...the local maxima of the ...

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PACAM XV 05 20 2015

PACAM XV 05 20 2015

... three local maxima in growth, lying along the line cutting diagonally through the center of the sheet, each represent regions of positive target Gaussian curvature; however, each may achieve its desired ...

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Time-frequency component analysis of somatosensory evoked potentials in rats

Time-frequency component analysis of somatosensory evoked potentials in rats

... Among the decomposed t-f components, we aim to iden- tify stable SEP components useful for understanding the underlying physiological mechanisms of SEP and evalua- tion of somatosensory conduction. However, spurious and ...

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Improving the efficiency of grid connected PV system for real operating conditions

Improving the efficiency of grid connected PV system for real operating conditions

... multiple maxima, where the number of local maxima depends on many parameters as well as the number of the modules aected by the partial shading, their electrical connection and any bypass diodes ...

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A Method for Autonomous Data Partitioning

A Method for Autonomous Data Partitioning

... In this paper, a novel algorithm for data partitioning, named autonomous data partition (ADP), was introduced. Both, the offline and evolving versions of the ADP algorithm are entirely data-driven, autonomous and require ...

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Part I: 3DPTV: advances and error analysis. Part II: Extension of Guderley's solution for converging shock waves

Part I: 3DPTV: advances and error analysis. Part II: Extension of Guderley's solution for converging shock waves

... 8,446 local maxima exist on the ...simple local maxima fitting would find at most 6,892 correct particle ...remaining local maxima will contain two or more particle images, which ...

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Dynamics of an Optically Injected Diode Laser Subject to Periodic Perturbation: Occurrence of a Large Number of Attractors, Bistability and Metastable Chaos

Dynamics of an Optically Injected Diode Laser Subject to Periodic Perturbation: Occurrence of a Large Number of Attractors, Bistability and Metastable Chaos

... showing local maxima of the imaginary part of the complex electric field and corresponding graph of Lyapunov exponents (b) versus injected field strength ...

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Fast and Adaptive Bidimensional Empirical Mode Decomposition Using Order-Statistics Filter Based Envelope Estimation

Fast and Adaptive Bidimensional Empirical Mode Decomposition Using Order-Statistics Filter Based Envelope Estimation

... the maxima or minima map often does not contain any data points (interpolation centers) at the boundary region, which may be more severe for the later modes of ...spaced local maxima or minima ...

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EDGE WEIGHTED CONSISTENT FUZZY CENTROIDAL CLUSTER MODEL FOR ROBUST IMAGE SEGMENTATION

EDGE WEIGHTED CONSISTENT FUZZY CENTROIDAL CLUSTER MODEL FOR ROBUST IMAGE SEGMENTATION

... The experiments carried out and results are taken to four different standard images (house, leena, lake and pepper) used in most processing techniques. The first experiment carried on the images without adding noise ...

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Local extrema in random trees

Local extrema in random trees

... as local maxima and local minima; peaks and troughs; collectively turning points; related to phases) in permutations have a long history; see [10] and references there ...of local ...

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Analytical discrete optimization

Analytical discrete optimization

... Thus, to find the local minima and maxima of a discrete multidimensional function we can apply theorem 1 to each of its dimensions, if it is feasible. A simple visualization of the above discussion is ...

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Evaluation of a near-global eddy-resolving ocean model

Evaluation of a near-global eddy-resolving ocean model

... freshwater, and momentum fluxes from ERA-Interim (Dee and Uppala, 2009). The surface heat flux is applied to the top model layer for components associated with the latent, sensi- ble and long-wave heat flux. The ...

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DEVELOPMENT OF NEW COLORIMETRIC METHOD AND VALIDATION FOR DETERMINATION OF LOPERAMIDE IN BULK AND MARKETED FORMULATION

DEVELOPMENT OF NEW COLORIMETRIC METHOD AND VALIDATION FOR DETERMINATION OF LOPERAMIDE IN BULK AND MARKETED FORMULATION

... a) Determination of absorption maxima An absorption maxima (or) max are the wavelength at which maximum absorption takes place. PROCEDURE: Transferred 1.2ml of working s[r] ...

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