Spectral concentration problem information

The spectral concentration problem in Fourier analysis refers to finding a time sequence of a given length whose discrete Fourier transform is maximally...

the theory of signal processing, for example as the famous spectral concentration problem popularized by David Slepian. The operators involved are the...

. The quantity 2W defines the resolution bandwidth for the spectral concentration problem and W ∈ ( 0 , f N ) {\displaystyle W\in (0,f_{N})} . When l = m...

) {\displaystyle S_{0n}(c,t/T)} introduced above. (See also Spectral concentration problem.) Pioneering work in this area was performed by Slepian and...

Solves Triple Bubble Problem and More in Quanta magazine. The Role of Convexity in Isoperimetry, Spectral-Gap and Concentration - A Talk by Emanuel Milman...

element method. Spectral element methods combine the geometric flexibility of finite elements and the acute accuracy of spectral methods. Spectral methods are...

In analytical chemistry the technique is used for determining the concentration of a particular element (the analyte) in a sample to be analyzed. AAS...

the precursor to the Landsat program. These early sensors had minimal spectral resolution, but tended to include bands in the red and near-infrared, which...

the controls on plant-matter decay. The linear inverse problem is also the fundamental of spectral estimation and direction-of-arrival (DOA) estimation...

Animal perception of color originates from different light wavelength or spectral sensitivity in cone cell types, which is then processed by the brain. Colors...

radiative energy, and recently gravitational waves have been associated with a spectral signature in the context of the Laser Interferometer Gravitational-Wave...

the Kronecker delta. The spectral content of a stochastic process X t {\displaystyle X_{t}} can be found from the power spectral density, formally defined...

relative concentrations, subsequently the assignment of the proportional contribution of mixed pixel signals (e.g., the spectral unmixing problem), the derivation...

body at the same temperature as that surface. Spectral hemispherical emissivity in frequency and spectral hemispherical emissivity in wavelength of a surface...

cavity method, or the replica method to compute quantities like traces, spectral densities, or scalar products between eigenvectors. Many physical phenomena...

composition, roughness, thickness (depth), crystalline nature, doping concentration, electrical conductivity and other material properties. It is very sensitive...

limit is the adequacy and the accuracy of the model used to predict concentration from the raw analytical signal. As a typical example, from a calibration...

sources of indoor radon, determinants of concentration, health effects, and mitigation approaches. In the US, the problem of indoor radon received widespread...

(metameric failure): Different spectral sensitivities of the human eye and of an image capture device (e.g. a camera). Different spectral emissions / reflections...

limited due to signal engineering problem. One can never obtain data with maximum resolutions in all spatial, spectral and radiometric resolutions due to...

range of wavelengths in the ultraviolet (UV) and vacuum ultraviolet (VUV) spectral regions. Operation of an excimer lamp is based on the formation of excited...

or DyLight Fluors. Other problems that may arise when using immunofluorescence techniques include autofluorescence, spectral overlap and non-specific...

Elzenga, J. T. M. (2015). "Competition for pollinators and intra-communal spectral dissimilarity of flowers". Plant Biology. 18 (1): 56–62. doi:10.1111/plb...

gas. Passive IR imaging sensors measure spectral changes at each pixel in an image and look for specific spectral signatures that indicate the presence...

diagnostic problems as a result of interference from other present compounds and elements. Additional phosphorus detection methods such as spectral radiance...