Signal Processing Symposium (SPS)
2023 Signal Processing Symposium (SPSympo)
26-28 Sept. 2023
Showing 1-25 of 47
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Signal Processing Symposium (SPSympo), 2023
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Leveraging Citizen Science in Manual Annotation for Deep Learning in Underwater Passive Acoustic Studies
Gabriel Dubus;Olivier Adam;Paul Nguyen Hong Duc;Maëlle Torterotot;Dorian Cazau
Publication Year: 2023,Page(s):1 - 5
Passive acoustic monitoring is widely used to study underwater soundscapes. This technique requires the manual annotation of large acoustic datasets which is a time-consuming task that necessitates training. To address this challenge, we propose leveraging citizen science by using a web-based platform for manual annotation of acoustic data. In this study, we explore the interest of involving anony...Show More
The article primarily focuses on presenting the results derived from applying a modified algorithm for determining the cross-ambiguity function, based on the Keystone transformation, to a real target moving at a significant speed with low reflectivity. The modification enables accurate focusing on fast-moving targets where the pulse repetition frequency is limited due to the radar's maximum range,...Show More
This paper describes the results of ISAR simulations using the ray tracing technique. This technique allows for a more accurate portrayal of reality by computer simulations. Due to its computational complexity, it is not often used because of very long simulation times. Usage of this technique allows for precise calculations of target surfaces visible by the transmitter and receiver. This paper wi...Show More
Frequency Stability Evaluation of SDR Platforms Concerning Their Use in Doppler-Based Location Method
Publication Year: 2023,Page(s):15 - 18
Signal Doppler frequency (SDF) is one of the methods for locating radio emitters based on the Doppler effect. In this case, the SDF accuracy is closely related to the accuracy of determining the Doppler frequency shift. Therefore, ensuring the high-frequency stability of the software-defined radio (SDR) platform, which is used in the location sensor, plays an important role. In this paper, we expl...Show More
Comparison of Effectiveness of Heart Rate Variability Indices in Differentiation of Atrial Fibrillation from Sinus Rhythm
Publication Year: 2023,Page(s):19 - 22
Recently, various heart rate variability (HRV) indices have been used to differentiate normal sinus rhythm (SR) from atrial fibrillation (AF). This study compared the effectiveness of different HRV indices for detecting AF in 63,140 segments of 60-second electrocardiograms (ECGs). Exactly 31,627 SR and 31,513 AF 60-second ECGs were analyzed. Based on the receiver operating characteristic (ROC) ana...Show More
Low-Complexity Algorithms for Trinion-Based Digital Signal Processing
Publication Year: 2023,Page(s):23 - 27
This paper continues a series of publications devoted to low-complexity digital signal processing (DSP) algorithms using hypercomplex number systems. As in the previous cases, we are talking about three basic digital signal processing operations: the operation of multiplying two hypercomplex numbers, the operation of the dot product of two hypercomplex-valued vectors, and the operation of multiply...Show More
Algorithm and Processor Architecture for the Implementation of the Minimum Filtering Technique in Complex-Valued CNNs
Publication Year: 2023,Page(s):28 - 32
In this paper, we present a resource-efficient algorithmic solution regarding the fully parallel hardware implementation of the basic filtering operation performed in the complex-valued convolutional neural networks (CNNs). In fact, this basic operation computes the inner products of adjacent complex-valued vectors formed by a sliding time window from the current data stream with the impulse respo...Show More
Polynomial-Based Detector for Passive Radar Operating in the DVB-T Band
Publication Year: 2023,Page(s):33 - 38
Cited by: Papers (1)
This presentation addresses the modeling of a non-Gaussian stochastic process based on a fully ordered sequence of measurements of moments or correlations. To do so, it uses recent results in the parametrization of all the moment generating functions that interpolate the given or measured correlation data. While the parametrization problem appears to be adequately solved, the crucial numerical det...Show More
Comparison of Pulse Compression Algorithm Implementations on Various Hardware Platforms
Publication Year: 2023,Page(s):44 - 48
This paper presents the preparation and results of the comparison of two implementation methods for matched filtering (pulse compression) algorithm for air defense radar. The first method uses the General-Purpose computing on Graphics Processing Unit (GPGPU) technique in the form of the NVIDIA CUDA platform. The second method is based on computing with Intel's Central Processing Unit (CPU) and Adv...Show More
Reducing the Impact of Fundamental Frequency on the HFCC Parameters of the Speech Signal
Publication Year: 2023,Page(s):49 - 52
The voiced parts of the speech signal are shaped by glottal pulse excitation, the vocal tract, and the speaker's lips. Semantic information contained in speech is shaped mainly by the vocal tract. Unfortunately, the quasiperiodicity of the glottal excitation, in the case of Human Factor Cepstral Coefficients (HFCC) parameterization, is one of the factors affecting the significant scatter of the fe...Show More
Multilook Processing Scheme in DVB-T Based Passive SAR Applications
Publication Year: 2023,Page(s):53 - 56
Cited by: Papers (1)
In this paper, digital video broadcasting (DVB-T) transmitters are considered for passive SAR imaging of ground scenarios. A multilook processing scheme is proposed to reduce image noise, to improve the interpretation of the radar image and to make possible the correct detection and area delimitation of scattering targets in the radar scene. A measurement campaign was carried out to analyse and va...Show More
Burnout-Specific Changes in Brain Activity (Under Way to Exhaustion)
Dmytro Harmatiuk;Sergii Tukaiev;Anton Popov;Mykola Makarchuk
Publication Year: 2023,Page(s):57 - 62
Burnout syndrome is one of the forms of chronic occupation stress. There is no single view on the nature and structure of emotional burnout. Boyko's psychological construct of Emotional Burnout (EB) defines Syndrome as a mechanism of psychological defense in the form of complete or partial excluding of emotions in response to traumatic influences and includes three key stages: Anxiety Tension, Res...Show More
Multi Tx and Multi Rx Passive Radar Demonstrator with Limited Number of Receiving Channels
Publication Year: 2023,Page(s):63 - 66
The paper describes a signal preprocessing approach intended for a multistatic, multiband passive radar system. Each transmitter broadcasts signals in different but closely spaced spectral channels, whereas each receiver has only two physical channels covering whole spectrum span of interest. In such scenario, the reference signal for particular spectral channel can be taken from the most advantag...Show More
Channel Estimation and Equalization in OTFS Transmission System with Random Padding
Publication Year: 2023,Page(s):67 - 72
Cited by: Papers (1)
The OFDM waveform based communication relies on an assumption that linear convolution in propagation channel can be replaced (modelled) by circular one. Such assumption is not valid in the presence of high Doppler shifts, for example in high-speed vehicle communication, like high-speed trains (HST). Recently the Orthogonal Time Frequency Space (OTFS) modulation has been introduced for data transmi...Show More
Quarter Car Suspension State Space Model and Full State Feedback Control for Real-Time Processing
Károly Árpád Kis;Gyula Korsoveczki;Kornél Sarvajcz;Péter Korondi;Imre Kocsis;István Balajti
Publication Year: 2023,Page(s):73 - 78
Cited by: Papers (2)
This paper presents the examination of the suspension of a quarter car model from the point of view of observability and controllability. The modeling of an active suspension with full state feedback control and the design of a state observer is planned to be used for real-time processing of the university's self-driven vehicles under development. The validation of the concept is demonstrated also...Show More
Positioning, Orientation and Control of Virtual Robotic Arms Based on Collected Sensor Data Focused on the Kinematic Motion Analysis
Publication Year: 2023,Page(s):79 - 84
Cited by: Papers (1)
The paper analyzes the motion of a six-degree-of-freedom (6 DoF) industrial robotic arm using a simulation environment with added sensors and Data Acquisition (DAQ) system. An accurate 3D assembly model of the 6R industrial robot was designed and tested. The output result of the project is the forward and inverse kinematic conversions using software and hardware modules and the user interface high...Show More
Stability of Clock Frequency Offset Measurements and Synchronization in UWB devices
Publication Year: 2023,Page(s):85 - 89
UWB positioning combines time measurements from several devices to estimate the position of a target device. These measurements, however, are expressed in the device's own timescale that is derived from its free running clock source, generally a crystal oscillator. The timescales are inherently offset and with different and time-variant drift, both of which have to be compensated during the estima...Show More
Algorithm for Determining Propagation Attenuation Maps Based on Truncated Terrain Profiles
Publication Year: 2023,Page(s):90 - 92
Radio environment maps (REMs) are used to manage radio networks, e.g., mobile ad-hoc networks (MANETs). In this case, network nodes typically use software-defined and cognitive radio technologies. In previous works, we proposed an algorithm for creating the propagation attenuation map (PAM) based on the parabolic equation method (PEM). PEM allows for determining the attenuation distribution along ...Show More
High Resolution FMCW SAR Imaging Based on Compressive Sensing Framework
Publication Year: 2023,Page(s):93 - 98
Cited by: Papers (1)
This paper presents an innovative Compressive Sensing (CS) based algorithm for synthetic aperture radar (SAR) imaging, aimed at achieving high-resolution imaging. Traditional imaging algorithms often need large amounts of raw data and substantial storage capacity to generate clear target images. In this context, we propose the utilization of a Linear Frequency Modulated (LFM) signal, which offers ...Show More
Detecting Drones at an Entrance to a Beehive Based on Audio Signals and Autoencoder Neural Networks
Publication Year: 2023,Page(s):99 - 104
Cited by: Papers (1)
Detecting a large number of drones at the entrance of a beehive in the late Spring, may be one of the signs of swarming, since the peak of a drone number is correlated with the overcrowded hive. Swarming is a natural method of reproduction observed in honey bees when half of the bee colony leaves their hive with an old queen. This is a potentially dangerous situation, as the queen and the part of ...Show More
The cascaded radar imaging system consists of four 79GHz Radar chips, each has 3Tx and 4Rx. Sparse Uniform Linear Array (ULA) configurations of 16 microstrip patch antennas are arranged in azimuth and 4 element of Minimum Redundancy Array (MRA) is considered for elevation. A sparse 86-by-7 Uniform Planar Array (UPA) for measuring three-dimensional (3D) high angular resolution is achieved by using ...Show More
Complexity Reduction of ANN Model for CU Size Selection in HEVC
Mateusz Lorkiewicz;Olgierd Stankiewicz;Marek Domański;Hsueh-Ming Hang;Wen-Hsiao Peng
Publication Year: 2023,Page(s):111 - 116
Cited by: Papers (1)
In HEVC compression is performed in Coding Units (CUs) being pixel blocks of a size adaptively chosen according to the local content within a video frame. Nearoptimum selection of the frame partition into CUs is crucial for the coding efficiency. A huge number of partitioning schemes is available and the optimum partitioning scheme is obtained in an iterative computation-heavy procedure in a class...Show More
Impact of Uplink Traffic on 5G-Based Passive Radar
Publication Year: 2023,Page(s):117 - 122
Cited by: Papers (1)
Several pioneering works have presented experimental results of 5G-based passive radars. In those works, the illumination source is a signal transmitted by the 5G base station (simulated and real-life). Therefore the uplink (UL) signal (transmitted from user equipment to the base station with a time division duplex (TDD)) was considered a source of interference and was cut to achieve successful ta...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Signal Processing Symposium (SPSympo), 2023
- Print on DemandPurchase at Partner
- External Hard-drivePurchase at Partner
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