Our network structure mainly consists of two parts: Initially, applying wavelet transform to the input images, the extracted high-frequency components are refined using a combination of Bayesian ...
To address this issue, we propose an alternate iterative inversion method of AI and wavelet based on sparse constraints. This method assumes that both the wavelet matrix and the reflection ...
This new project, the Wavelet House, brings the San Francisco-based practice back to level ground, but the design approach is no less dramatic. The Wavelet House is set on a narrow lot in a suburban ...