DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning ...
An understanding of the underlying mechanisms and the limitations of basic digital signal processing methods is essential for designing more complex algorithms, such as the recent contributions on ...
Abstract: In Central America there is great interest in links through independent channels such as those offered by satellite systems, however, there are still not many alternatives to test ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
Editor’s Note: This is the second article in a three-part series about software defined radios in GPS/GNSS simulators. Part 1: About GPS and various techniques that are used to advance signal ...
Computational methods in protein engineering often require encoding amino acid sequences, i.e., converting them into numeric arrays. Physicochemical properties are a typical choice to define encoders, ...
Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results