Search Results for author: Hai Morgenstern

Found 7 papers, 2 papers with code

Theory and investigation of acoustic multiple-input multiple-output systems based on spherical arrays in a room

no code implementations7 Jan 2024 Hai Morgenstern, Boaz Rafaely, Franz Zotter

The system is shown to have unit-rank, regardless of the array types, and its singular vectors are related to the directions of arrival and radiation at the microphone and loudspeaker arrays, respectively.

Modal smoothing for analysis of room reflections measured with spherical microphone and loudspeaker arrays

no code implementations7 Jan 2024 Hai Morgenstern, Boaz Rafaely

Microphone arrays have been employed for spatial analyses with an important objective being the estimation of the direction-of-arrival (DOA) of direct sound and early room reflections using room impulse responses (RIRs).

Spatial Reverberation and Dereverberation using an Acoustic Multiple-Input Multiple-Output System

no code implementations7 Jan 2024 Hai Morgenstern, Boaz Rafaely

The system under investigation includes a spherical microphone array and an SLA comprising a multiple-input multiple-output system.

Design framework for spherical microphone and loudspeaker arrays in a multiple-input multiple-output system

no code implementations6 Jan 2024 Hai Morgenstern, Boaz Rafaely, Markus Noisternig

However, such a framework does not exist for the joint design of a SMA and a SLA that comprise a MIMO system.

Neural Augmented Kalman Filtering with Bollinger Bands for Pairs Trading

1 code implementation19 Oct 2022 Amit Milstein, Haoran Deng, Guy Revach, Hai Morgenstern, Nir Shlezinger

In this work, we propose KalmenNet-aided Bollinger bands Pairs Trading (KBPT), a deep learning aided policy that augments the operation of KF-aided BB trading.

Self-Supervised Dynamic Networks for Covariate Shift Robustness

no code implementations6 Jun 2020 Tomer Cohen, Noy Shulman, Hai Morgenstern, Roey Mechrez, Erez Farhan

As supervised learning still dominates most AI applications, test-time performance is often unexpected.

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