Abstract: In the realm of modern wideband receiver standards, the efficient frequency spectrum utilization is paramount, driven by the demands for high data rates, reduced latency, and enhanced ...

Even in the best designs, noise and interference sneak in to reduce the signal-to-noise ratio (SNR), obscure desired signals, and impair measurement accuracy and repeatability. Digitizing instruments ...

Accurate frequency estimation in a wideband digital receiver using the FFT algorithm encounters challenges, such as spectral leakage resulting from the FFT’s assumption of signal periodicity.

I am aware of what the different spectral descriptors as given by librosa are referring to, though I have seen some other Python packages and MATLAB directly derive (for ex. spectral centroid) by ...

I found that the latest version build from github repository has inconsistent gain for different FFT size and window type. It should use correction which depends on FFT size and window coefficients in ...

Abstract: The Fast Fourier Transformation (FFT), as a high-efficiency algorithm of the Discrete Fourier Transform (DFT), is widely used in Digital Signal Processing (DSP), wireless communication ...

Other enhancements such as the ability to save metadata, sequence protection and AudioConnect 2 control round out the increased functionality of this year’s update. The enhanced Loose Particle ...