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So, at its heart, Fraunhofer diffraction is a linear system with a complex impulse response that is simply a complex exponential whose phase is proportional to the shift (delay) of the kernel times the distance from the origin: δ x-Δx) → exp(i δ x-Δx/z), where α is some constant.
This figure shows the mean square error of the estimation as a function of kernel times.
The use of fast math and sm_20 has a significant effect on the kernel times.
This figure shows (the root mean of) the position error of the estimation as a function of the kernel times.
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Additionally, time-frequency entropy and the total energy of measured conductance signals are extracted using Adaptive Optimal Kernel Time-Frequency Representation (AOK TFR) to characterize the droplet size distribution of bubbly oil-water two-phase flows.
In this paper, we first make a simulation investigation to evaluate three time-frequency representation algorithms, i.e., Wigner Ville distribution, Choi Williams distribution and adaptive optimal kernel time-frequency representation (AOK TFR).
Kernel time includes random number generation on the GPU with curand.
The kernel time measurements include the particle filtering kernel of a single time step; the global times include all operations during the execution for all states (file I/O, memory allocations, computational operations, etc).
For a commonly used benchmark model at the same configuration, we achieved a 266- μ s kernel time per state and a 124-ms global running time for all 100 states.
Some of the subtasks that consume most of the budgeted time, in our example, include the boot image loading time, the kernel initialization time, and the payload components initialization time.
(1) Compute the time-frequency distribution of each ERP waveform from multiple subjects, : (8) where is the discrete-time kernel in the time and time-lag domain and is the th ERP waveform.
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