An analog-to-digital converter (ADC)'s dynamic range is critical during sampling analog
signals. A modulo operation prior to sampling can be used to enhance the effective dynamic …

A model of a room impulse response (RIR) is useful for a wide range of applications.
Typically, the early part of a RIR is sparse, and its sparse structure allows for accurate and …

Large-scale Room Impulse Response (RIR) measurements are required to accurately
determine a room's acoustic response to different source-listener configurations. RIR …

In applications such as multi-receiver radars and ultrasound array systems, the observed
signals are often modeled as the convolution of the transmit pulse signal and a set of sparse …

We propose a learned-structured unfolding neural network for the problem of compressive
sparse multichannel blind-deconvolution. In this problem, each channel's measurements are …

Modulo folding can be used to sample high-dynamic range signals without increasing the
dynamic range of the sampler. Specifically, folding is used prior to sampling and then the …

Using speech to interact with electronic devices and access services is becoming
increasingly common. Using such applications in our households poses new challenges for …

The classification of acoustic environments allows for machines to better understand the
auditory world around them. The use of deep learning in order to teach machines to …

Here I am, finally writing what feels like the final chapter of a very long story, and I am not
only referring to the length of this manuscript, but to the journey that had led to it. It all started …

We consider a continuous-time sparse multichannel blind deconvolution problem. The
signal at each channel is expressed as the convolution of a common source signal and its …