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JacksonQHQ's Projects

acoustic-direction-finding-using-single-acoustic-vector-sensor-under-high-reverberation icon acoustic-direction-finding-using-single-acoustic-vector-sensor-under-high-reverberation

We propose a novel and robust method for acoustic direction finding, which is solely based on acoustic pressure and pressure gradient measurements from single Acoustic Vector Sensor (AVS). We do not make any stochastic and sparseness assumptions regarding the signal source and the environmental characteristics. Hence, our method can be applied to a wide range of wideband acoustic signals including the speech and noise-like signals in various environments. Our method identifies the “clean” time frequency bins that are not distorted by multipath signals and noise, and estimates the 2D-DOA angles at only those identified bins. Moreover, the identification of the clean bins and the corresponding DOA estimation are performed jointly in one framework in a computationally highly efficient manner. We mathematically and experimentally show that the false detection rate of the proposed method is zero, i.e., none of the time-frequency bins with multiple sources are wrongly labeled as single-source, when the source directions do not coincide. Therefore, our method is significantly more reliable and robust compared to the competing state-of-the-art methods that perform the time-frequency bin selection and the DOA estimation separately. The proposed method, for performed simulations, estimates the source direction with high accuracy (less than 1 degree error) even under significantly high reverberation conditions.

aoa_iqsamples icon aoa_iqsamples

Calculating AoA based on IQ samples received from Multi Antenna Array in BLE 5.1 (simulation based on ti BLE 4.2 boards)

cs-notes icon cs-notes

:books: Tech Interview Guide 技术面试必备基础知识、Leetcode、Java、C++、Python、后端面试、计算机操作系统、计算机网络、系统设计

dae4muldoa icon dae4muldoa

Fast DoA estimation of multiple targets using a Denoising Autoencoder and sparse arrays

deepdoa-master icon deepdoa-master

Testing DEEP NEURAL NETWORKS for Direction of Arrival Estimation

doa-tools icon doa-tools

A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.

gefm icon gefm

Sparse signal recovery via generalized entropy functions minimization

llff icon llff

Code release for Local Light Field Fusion at SIGGRAPH 2019

nerf icon nerf

Code release for NeRF (Neural Radiance Fields)

nlp icon nlp

自然语言处理与智能搜索

otfs-simulation icon otfs-simulation

A simulation of a wideband wireless communications system with multipath fading for OFDM and OTFS

parafac icon parafac

MATALB codes for the PARAFAC decomposition

videospeed icon videospeed

HTML5 video speed controller (for Google Chrome)

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