In this study, an interference detection and mitigation method is proposed for frequency-modulated continuous-wave radar systems based on time-domain signal reconstruction. The uses the difference in one-dimensional fast Fourier transform (1D-FFT) results between targets interferences. 1D-FFT results, target appears as a peak at same frequency point all chirps within one frame, whereas absence ...

Deep learning has shown a considerable potential to significantly improve processing efficiency but not yet been widely deployed production projects of seismic signal separation such as interference attenuation. The main reasons are: First, the industry high standards for fidelity, which are critical success subsequent imaging, and deep neural network methods have matched required level; second...

Linking the activity of neurons, circuits and synapses to human behavior is a fundamental goal neuroscience. Meeting this challenging, in part because behavior, particularly perception, often masks complexity underlying neural circuits, significant behavioral differences between primates animals like mice flies which genetic manipulations are relatively common. Here we relate circuit-level proc...