Signal Processing
Just Recognizable Distortion (JRD) refers to the minimum distortion that notably affects the recognition performance of a machine vision model. If a distortion added to images or videos falls within this JRD threshold, the degradation of the recognition performance will be unnoticeable. Based on this JRD property, it will be useful to Video Coding for Machine (VCM) to minimize the bit rate while maintaining the recognition performance of compressed images.
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To improve the speed and direction of arrival (DOA) measurement resolution and accuracy using multiple input multiple output (MIMO) frequency modulation continuous wave (FMCW) radar, an novel algorithm based on rotation vector was proposed to expand the observation data dimensions so that higher measurement performance can be achieved. According to the phase relationship between data of each receiving channel at the serial observation time, the original data of MIMO radar can be expressed as a rotating complex vector.
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The dataset is the image data obtained after data conversion of the phases of six Chinese sign languages collected using RFID, the dataset includes the data of five people in environment 1, and also includes the data of user 1 in the previous environment, the dataset is converted into 1000×1000 pixel images to be saved in it, which is a total of 3,000 images.
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A novel two-dimensional (2-D) direction finding method is proposed and verified based on a 4-element time modulated circular array (TMCA). The received signals of four antenna elements are input to the single channel in turns. After the periodical modulation, the azimuth and elevation angles can be estimated simultaneously through analyzing the spectrum characteristic of the received signal. The proposed direction finding method has simple structure and concise signal processing.
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Smart farming is the targeted use of phenotyping for the rapid, continuous, and accurate assessment of plant health in the field. Bioimpedance monitoring can play a role in smart farming as a phenotyping method, which is now accessible thanks to recent efforts to commoditize and miniaturize electronics. Here, we demonstrate that bioimpedance measurements reflect the physiological changes in live plant tissue with induced alterations in their environmental conditions.
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AIR-RS-DB: A dataset for classifying Spontaneous and Read Speech
A set of 1028 audio files generated from 7 mp3 files downloaded from All India Radio. https://newsonair.gov.in/ and converted into wav and then speaker diarized is using https://huggingface.co/pyannote/speaker-diarization (pyannote/speaker-diarization@2022072,model) and derive 1028 audio files.
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In this article, human fatty liver (HFL) volume is measured using the proposed HFL device. The HFL device consists of nano graphene polyvinyl (NGP) sensor and node MCU microcontroller. The NGP sensor acquires electromagnetic radiations from fatty liver (FL), which arise due to dielectric materials in fat. Continuous monitoring of FL volume through various medical imaging instruments leads to frequent exposure of radiation.
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This LTE_RFFI project sets up an LTE device radio frequency fingerprint identification system using deep learning techniques. The LTE uplink signals are collected from ten different LTE devices using a USRP N210 in different locations. The sampling rate of the USRP is 25 MHz. The received signal is resampled to 30.72 MHz in Matlab and is saved in the MAT file form. The corresponding processed signals are included in the dataset. More details about the datasets can be found in the README document.
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DESED dataset is the dataset that was used in DCASE 2019 task 4. The dataset for this task is composed of 10 sec audio clips recorded in domestic environment or synthesized using Scaper to simulate a domestic environment.
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We discuss the use of multi-rate FIR filters in radio frequency (RF) transient spectroscopy as well as the implementation challenges these multi-rate filters face when used in this application to reduce the sampling rate (decimation) and raise the sampling rate (interpolation). On a Texas Instruments TMS320-C30 DSP processor, all implementation measurements given here were carried out.
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