The Zygo NewView 200 is a scanning white-light interferometer that uses frequency domain analysis (FDA) to generate quantitative 3D images of surfaces. FDA is a mathematical method for processing complex interferograms in terms of phases andP De GrootL DeckR & D Technical Bulletin...
We have presented the code for three types of highpass filtering in the frequency domain; 1. Ideal highpass filter (IHPF) (Problem?) 2. Butterworth highpass filter (BHPF) 3. Gaussian highpass filter (GHPF) You can clearly observe the problem of the ringing effect in the output...
The invention of the Fourier integral in the 19th century laid the foundation for modern spectral analysis methods. This integral decomposes a temporal signal into its frequency components, providing deep insights into its generating process. While this
The gaps, in some other cases, may only be revealed through the frequency spectrum analysis. Recent studies [59, 72, 22] in media forensics have shown some notable periodic patterns in the frequency spectra of manipulated images, which may be consistent with artifacts in the spatial domain. ...
Meantime, as the primary modeling method for time series forecasting, frequency-domain analysis is underutilized in the flight trajectory prediction task. In this work, an innovative wavelet transform-based framework is proposed to perform time-frequency analysis of flight patterns to support trajectory...
This leads to specialized algorithms which fail on real-world images. Part of this failure is due to the dichotomy of useful representations for these phenomena. Some effects are best described in the spatial domain, while others are more naturally expressed in frequency. In order to resolve ...
In the end-to-end image generation task, the spatial domain of pixel space cannot explicitly separate the low-frequency general information such as texture and color from the high-frequency detail information such as structure and identity. The loss func
In order to close the accuracy gap, we propose a frequency regularization (FR) that aligns the outputs for natural and adversarial inputs in the frequency domain, leading to improvement in the robust accuracy. In addition, by observing that the robust model has a smoother kernel than its natur...
However, current deep learning (DL) based reconstruction methods focus only on single-domain reconstruction (time or frequency domain), leading to drawbacks like peak loss and artifact peaks and ultimately failing to achieve optimal performance. Moreover, the lack of fully sampled spectra makes it ...
Moreover, it is important to highlight here that some studies have applied downscaling methods to evaluate changes in TC characteristics between different climate periods5,61. However, such methods that ‘seed’ a domain with weak vortices (or disturbances) using a seeding rate that is derived ei...