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Showing 1 to 5 of 5 for “"Convolution filters"”.

  1. A Scaleable FIR Filter Implementation Using 32-bit Floating-Point Complex Arithmetic on a FPGA Base Custom Computing Platform

    … channel modeling. The design entails complex convolution filters with customized lengths that can support channel impulse response profiles generated by SIRCIM. The paper details the partitioning for a fully pipelined convolution algorithm onto field programmable gate arrays through VHDL …

    vt Repository record for A Scaleable FIR Filter Implementation Using 32-bit Floating-Point Complex Arithmetic on a FPGA Base Custom Computing Platform (opens in a new tab)

  2. Frequency sampling digital filters for multirate applications and pipelined implementations

    … certain circumstances, narrowband linear phase filters can be implemented more efficiently using frequency sampling filters than direct convolution filters. The desired frequency response of a frequency sampling filter is approximated by interpolating a frequency response through a set of …

    unlv Repository record for Frequency sampling digital filters for multirate applications and pipelined implementations (opens in a new tab)

  3. Accelerated coplanar facet radio synthesis imaging

    … inversion is normally computed by performing a convolutional resampling step and applying the Inverse Fast Fourier Transform, because this leads to computational savings. Unfortunately, the resulting planar approximation of the sky is only valid over small regions. When imaging over wider fields …

    cape-town Repository record for Accelerated coplanar facet radio synthesis imaging (opens in a new tab)

  4. Facial analysis in video : detection and recognition

    … 12% to 69%. Finally, four two-dimensional (2D) convolution filters are derived for feature extraction, and a 2D+3D face recognition system implementing both 2D and 3D imaging modalities is designed to address the FRGC problems. This method improves FRGC ver2.0 Experiment 3 baseline performance …

    njit Repository record for Facial analysis in video : detection and recognition (opens in a new tab)

  5. Spatial-Temporal Data Modeling with Graph Neural Networks

    … high frequency band of graph signals in graph convolution networks. (2) How to model spatial-temporal graph data effectively and efficiently; (3) How to handle spatial dependencies when a graph is totally missing, incomplete or inaccurate in spatial-temporal graph modeling; (4) In contrast to …

    uts Repository record for Spatial-Temporal Data Modeling with Graph Neural Networks (opens in a new tab)