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1 day ago · ALGORITHMS by Kasabian, released 05 July 2024 ... Try a different filter or a new search keyword. ... Kasabian is an English rock band formed in Leicester in 1997 by ...
4 days ago · For the Niching Genetic Algorithms-Kalman Filter prediction (NGA-KF) algorithm, if the computational complexity of the fitness function is O(f) during the initialization and localization stage of ...
4 days ago · Background Multivariate synchronization index (MSI) has been successfully applied for frequency detection in steady state visual evoked potential (SSVEP) based brain–computer interface (BCI) systems. However, the standard MSI algorithm and its variants cannot simultaneously take full advantage of the time-local structure and the harmonic components in SSVEP signals, which are both crucial ...
4 days ago · The rapid evolution and complexity of optical communication systems demand continuous advancements in key components, particularly bandpass filters, to ensure efficient signal transmission and reception. Plasmonic bandpass filters, leveraging surface plasmon polaritons (SPPs), exhibit great potential in achieving precise spectral filtering and compact integration. In this comprehensive review ...
4 days ago · The time-domain anti-jamming algorithm utilizes the adaptive filter to suppress interference. The iterated filter coefficients should be implemented to be multiplier-free and then assigned to the weight storage module. Figure 2 illustrates the flow chart of the multiplier-free time-domain adaptive anti-jamming algorithm.
5 days ago · For statistics and control theory, Kalman filtering, also known as linear quadratic estimation, is an algorithm that uses a series of measurements observed over time, including statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by est...
3 days ago · To solve the problem of aperture fill time (AFT) for wideband sparse arrays, variable fractional delay (VFD) FIR filters are applied to eliminate linear coupling between spatial and time domains. However, the large dimensions of the filter coefficient matrix result in high system complexity. To alleviate the computational burden of solving VFD filter coefficients, a novel multi–regultion ...
