The Dataflow Time and Space Complexity of FFTs - Bohm, Hiromoto - 1993 () Citation Context ...f k = 1 merely returns the input array and not going to this level avoids a problem in deallocating intermediate arrays in Id, as a one-dimensional FFT function now always creates a new result...
We also need to evaluate the nonlinear term and that is best done on real space (i.e. on a grid) as it involves products of functions. To evaluate the linear term in real space would have complexity O(n^2), as would evaluating the nonlinear term i...
Once the filter is designed, the output process is created by performing a convolution of the impulse response of the filter with a white input sequence. The complexity of this operation is linear in the length of the sequence. However, the process of creating a long sequence can be broken ...
This is yet-another screen-space ambient occlusion (SSAO) technique. Instead of point sampling, it samples lines (or beams of area) to estimate the volume of sample spheres that are obscured by surrounding geometry. It claims to get smoother results than point sampling, without requiring expensiv...
Additionally, increasing model complexity by adding more neurons and hidden layers can lead to overfitting, where the model performs well on training data but poorly on test data, especially in cases with imbalanced datasets. Consequently, while neural networks offer generally more flexibility and ...
- 他其后意识到如果找到正确的问题, 并且提出更快的多项式时间算法的话, 也可以推翻 SETH -- 这是日后的 Fine-grained complexity 的想法雏形, 当然他也没找到这些问题的更快的算法. - 10 年他试图把 CNF-SAT 写成一个关于多变量多项式的问题, 然后想用诸如 FFT 之类的代数算法更快的求解. 然而对于一般情况...
What is the time complexity of the Chinese remainder theorem? Why does Fubini's theorem work? Show that \frac{\partial }{\partial x} \left( \overrightarrow{V}(t) \times \overrightarrow{V}(t)' \right) \ = \ \overrightarrow{V}(t) \times \overrightarrow{V}...
FF is another important measure of complexity of the signals. It is based upon the notion of variance as a measure of signal activity [24]. Mobility (Mx) is the square root of the ratio of the activity (variance) of the first derivative of the signal to the activity of the original ...
The strategy has relative low computation complexity and can be implemented on-line with no a-priori process knowledge. Recently, Zhang et al. (2015) have presented a method based on the discrete Fourier transform (DFT) within a probability framework with the objective of distinguishing between ...
In real-time signal processing applications, especially in speech and image communications and radar/sonar signal processing, input data arrives serially. In prior art fast Fourier transforms (FFT) based algorithms, serial data is buffered and then transformed using FFT scheme of complexity O(N log...