The document summarizes results from the PAU Synthetic Aperture Radiometer Instrument. It shows that pseudo-random noise signals can be used for calibration, frequency response determination, and overcoming limitations of centralized noise injection. Preliminary imaging results demonstrate the instrument's impulse response, angular resolution of around 5.7 degrees, and ability to track GPS satellites. Real-time systems require more frequent calibration than offline systems to avoid errors from interpolation.
Analysis of Butterworth and Chebyshev Filters for ECG Denoising Using WaveletsIOSR Journals
Abstract: A wide area of research has been done in the field of noise removal in Electrocardiogram signals.. Electrocardiograms (ECG) play an important role in diagnosis process and providing information regarding heart diseases. In this paper, we propose a new method for removing the baseline wander interferences, based on discrete wavelet transform and Butterworth/Chebyshev filtering. The ECG data is taken from non-invasive fetal electrocardiogram database, while noise signal is generated and added to the original signal using instructions in MATLAB environment. Our proposed method is a hybrid technique, which combines Daubechies wavelet decomposition and different thresholding techniques with Butterworth or Chebyshev filter. DWT has good ability to decompose the signal and wavelet thresholding is good in removing noise from decomposed signal. Filtering is done for improved denoising performence. Here quantitative study of result evaluation has been done between Butterworth and Chebyshev filters based on minimum mean squared error (MSE), higher values of signal to interference ratio and peak signal to noise ratio in MATLAB environment using wavelet and signal processing toolbox. The results proved that the denoised signal using Butterworth filter has a better balance between smoothness and accuracy than the Chebvshev filter. Keywords: Electrocardiogram, Discrete Wavelet transform, Baseline Wandering, Thresholding, Butterworth, Chebyshev
Position Determination of an Aircraft Using Acoustics Signal ProcessingIJMER
This paper deals with the determination of an aircraft position using the acoustic source
emitted from it. As per the experimental setup, sound energy emitted from the aircraft is captured with
the help of microphones and processed further using MATLAB toolbox and LABVIEW software.
Localization algorithm is sub divided into two categories, in which the first method involves time delay
estimation of acoustic source through simulation process and the second method is analyzing the
Doppler frequency shift from the aircraft sound. Using the above methods the navigation parameters
such as velocity, Height, Mach number, RPM of the propeller, Elevation angle and slant range will be
determined.
Spektralanalyse am technologischen Limit: Anwendungen in der Radioastronomie
Wo Prozessoren in ihrer Leistungsfähigkeit nicht mehr ausreichen, wird programmierbare Logik in Form von FPGAs (Field Programmable Gate Arrays) eingesetzt. Hunderte von Rechenoperationen können damit innert Nanosekunden erledigt werden. Diese Technologie eignet sich vorzüglich für die Echtzeit-Spektralanalyse von Signalen.
Typische Anwendungen finden sich in der Radioastronomie oder der Atmosphärenphysik. Typisch sind die enormen Abtastraten von mehreren Giga-Samples pro Sekunde bei Wandler-Auflösungen von ³ 10 Bit, Signal-Bandbreiten von > 1 GHz, aufgelöst in ³ 16'384 Kanälen. Die Leistungsgrenze wird in diesen Bereichen stetig nach oben geschoben.
Mit dem präsentierten Projekt wurde ein neuer Meilenstein punkto Funktionalität und Verarbeitungsgeschwindigkeit gesetzt. So ist das realisierte Spektrometer 1- oder 2-kanalig konfigurierbar, in der 2-kanaligen Version können beispielsweise die Summen- und Differenzspektren gerechnet werden, oder das Kreuzleistungs-Spektrum. Anstelle der "normalen" Fast Fourier Transform (FFT) wurde eine digitale Filterbank implementiert.
Im Vortrag werden aktuelle und künftige Anwendungen im Bereich der Radioastronomie vorgestellt. Es sind Anlagen und Projekte, die weltweit in Betrieb sind oder in Planung stehen. Messresultate zeigen die enorme Leistungsfähigkeit, aber auch die Grenzen der digitalen Spektralanalyse.
Bruno Stuber, Hochschule für Technik FHNW und Christian Monstein, ETH Zürich
Simulation vs. Real World Testing: How to undertake controlled testing of you...spirentgnss
Learn why it’s dangerous to rely on live GNSS signals when testing a GNSS receiver’s performance – and why GNSS simulation is widely-accepted as the professional alternative for receiver R&D.
Discover:
- The nine key tests needed to assess fundamental GNSS receiver performance
- How simulation delivers the control and repeatability impossible with live sky signals
Analysis of Butterworth and Chebyshev Filters for ECG Denoising Using WaveletsIOSR Journals
Abstract: A wide area of research has been done in the field of noise removal in Electrocardiogram signals.. Electrocardiograms (ECG) play an important role in diagnosis process and providing information regarding heart diseases. In this paper, we propose a new method for removing the baseline wander interferences, based on discrete wavelet transform and Butterworth/Chebyshev filtering. The ECG data is taken from non-invasive fetal electrocardiogram database, while noise signal is generated and added to the original signal using instructions in MATLAB environment. Our proposed method is a hybrid technique, which combines Daubechies wavelet decomposition and different thresholding techniques with Butterworth or Chebyshev filter. DWT has good ability to decompose the signal and wavelet thresholding is good in removing noise from decomposed signal. Filtering is done for improved denoising performence. Here quantitative study of result evaluation has been done between Butterworth and Chebyshev filters based on minimum mean squared error (MSE), higher values of signal to interference ratio and peak signal to noise ratio in MATLAB environment using wavelet and signal processing toolbox. The results proved that the denoised signal using Butterworth filter has a better balance between smoothness and accuracy than the Chebvshev filter. Keywords: Electrocardiogram, Discrete Wavelet transform, Baseline Wandering, Thresholding, Butterworth, Chebyshev
Position Determination of an Aircraft Using Acoustics Signal ProcessingIJMER
This paper deals with the determination of an aircraft position using the acoustic source
emitted from it. As per the experimental setup, sound energy emitted from the aircraft is captured with
the help of microphones and processed further using MATLAB toolbox and LABVIEW software.
Localization algorithm is sub divided into two categories, in which the first method involves time delay
estimation of acoustic source through simulation process and the second method is analyzing the
Doppler frequency shift from the aircraft sound. Using the above methods the navigation parameters
such as velocity, Height, Mach number, RPM of the propeller, Elevation angle and slant range will be
determined.
Spektralanalyse am technologischen Limit: Anwendungen in der Radioastronomie
Wo Prozessoren in ihrer Leistungsfähigkeit nicht mehr ausreichen, wird programmierbare Logik in Form von FPGAs (Field Programmable Gate Arrays) eingesetzt. Hunderte von Rechenoperationen können damit innert Nanosekunden erledigt werden. Diese Technologie eignet sich vorzüglich für die Echtzeit-Spektralanalyse von Signalen.
Typische Anwendungen finden sich in der Radioastronomie oder der Atmosphärenphysik. Typisch sind die enormen Abtastraten von mehreren Giga-Samples pro Sekunde bei Wandler-Auflösungen von ³ 10 Bit, Signal-Bandbreiten von > 1 GHz, aufgelöst in ³ 16'384 Kanälen. Die Leistungsgrenze wird in diesen Bereichen stetig nach oben geschoben.
Mit dem präsentierten Projekt wurde ein neuer Meilenstein punkto Funktionalität und Verarbeitungsgeschwindigkeit gesetzt. So ist das realisierte Spektrometer 1- oder 2-kanalig konfigurierbar, in der 2-kanaligen Version können beispielsweise die Summen- und Differenzspektren gerechnet werden, oder das Kreuzleistungs-Spektrum. Anstelle der "normalen" Fast Fourier Transform (FFT) wurde eine digitale Filterbank implementiert.
Im Vortrag werden aktuelle und künftige Anwendungen im Bereich der Radioastronomie vorgestellt. Es sind Anlagen und Projekte, die weltweit in Betrieb sind oder in Planung stehen. Messresultate zeigen die enorme Leistungsfähigkeit, aber auch die Grenzen der digitalen Spektralanalyse.
Bruno Stuber, Hochschule für Technik FHNW und Christian Monstein, ETH Zürich
Simulation vs. Real World Testing: How to undertake controlled testing of you...spirentgnss
Learn why it’s dangerous to rely on live GNSS signals when testing a GNSS receiver’s performance – and why GNSS simulation is widely-accepted as the professional alternative for receiver R&D.
Discover:
- The nine key tests needed to assess fundamental GNSS receiver performance
- How simulation delivers the control and repeatability impossible with live sky signals
Salient Features:
The magnitude response is nearly constant(equal to 1) at lower frequencies
There are no ripples in passband and stop band
The maximum gain occurs at Ω=0 and it is H(Ω)=1
The magnitude response is monotonically decreasing
As the order of the filter ‘N’ increases, the response of the filter is more close to the ideal response
Fundamentals of Passive and Active Sonar Technical Training Short Course SamplerJim Jenkins
This four-day course is designed for SONAR systems engineers, combat systems engineers, undersea warfare professionals, and managers who wish to enhance their understanding of passive and active SONAR or become familiar with the "big picture" if they work outside of either discipline. Each topic is presented by instructors with substantial experience at sea. Presentations are illustrated by worked numerical examples using simulated or experimental data describing actual undersea acoustic situations and geometries. Visualization of transmitted waveforms, target interactions, and detector responses is emphasized.
Salient Features:
The magnitude response is nearly constant(equal to 1) at lower frequencies
There are no ripples in passband and stop band
The maximum gain occurs at Ω=0 and it is H(Ω)=1
The magnitude response is monotonically decreasing
As the order of the filter ‘N’ increases, the response of the filter is more close to the ideal response
Fundamentals of Passive and Active Sonar Technical Training Short Course SamplerJim Jenkins
This four-day course is designed for SONAR systems engineers, combat systems engineers, undersea warfare professionals, and managers who wish to enhance their understanding of passive and active SONAR or become familiar with the "big picture" if they work outside of either discipline. Each topic is presented by instructors with substantial experience at sea. Presentations are illustrated by worked numerical examples using simulated or experimental data describing actual undersea acoustic situations and geometries. Visualization of transmitted waveforms, target interactions, and detector responses is emphasized.
FPGA Implementation of Large Area Efficient and Low Power Geortzel Algorithm ...IDES Editor
Spectrum analysis is very essential requirement in
instrumentation and communication signal interception
.Spectrum analysis is normally carried out by online or offline
FFT processing. But the FFT being highly mathematical
intensive, is not suitable for low area and low power
applications. Offline FFT processing can’t give the real time
spectrum estimation which is essential in communication
signal interception. Online FFT computation takes very high
resources, which makes the system costly and power hungry.
The Goertzel algorithm is a digital signal processing (DSP)
technique for identifying frequency components of a signal,
published by Dr. Gerald Goertzel in 1958. While the general
Fast Fourier transform (FFT) algorithm computes evenly
across the bandwidth of the incoming signal, the Goertzel
algorithm looks at specific, predetermined frequency. However
the implementation of Goertzel algorithm for spectrum
computation is not explored for FPGA implementation. The
FPGA being capable of offering high frequency data paths in
them become suitable for realizing high speed spectrum
analysis algorithms.
Analysis Predicted Location of Harmonic Distortion in RF Upconverter StructureTELKOMNIKA JOURNAL
A new mathematical analysis to predict the magnitude size of the distortion products from the
signal up-conversion process output is presented. The signal up-conversion process converts the digital
baseband from the analog baseband into a radio frequency signal. When the signal baseband involves
frequency offsetting then occurring a number of distortion products which can reduce the dynamic range
so it is difficult to meet the spectrum mask requirements within the operating band. This paper will focus on
methods of new mathematical analysis using a continuous frequency range and only applies to a single
side band tone, with constant amplitude into any value of frequency offsets. The novel contribution to the
analysis starts at generating the gate signal and convolution of the gate signal into the reference carrier
signal. The results show very close between the simulation results and the calculation of the predicted
location of the distortions.
Embedded systems increasingly employ digital, analog and RF signals all of which are tightly synchronized in time. Debugging these systems is challenging in that one needs to measure a number of different signals in one or more domains (time, digital, frequency) and with tight time synchronization. This session will discuss how a digital oscilloscope can be used to effectively debug these systems, and some of the instrumentation considerations that go along with this.
An Overview of Array Signal Processing and Beam Forming TechniquesAn Overview...Editor IJCATR
For use as hydrophones, projectors and underwater microphones, there is always a need for calibrated sensors. Overview of
multi path and effect of reflection on acoustic sound signals due to various objects is required prior to finding applications for different
materials as sonar domes, etc. There is also a need to overview multi sensor array processing for many applications like finding
direction of arrival and beam forming. Real time data acquisition is also a must for such applications.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Accelerate your Kubernetes clusters with Varnish Caching
TH2_T03_5_PAU-SA_I_Ramos.ppt
1.
2.
3. 1. PAU-SA Instrument / 13 PAU-SA in the robotic arm 8 m PAU-RAD PAU-GNSS-R PAU-IR
4. / 13 2. Potential improvements for future SMOS’s Parameter MIRAS/SMOS PAU-SA Comments Frequency operation L-band (1400 - 1427 MHz) L-band (1575.42 MHz) L1 of GPS signal Same frequency both Radiometry and GPS Reflectrometry Bandwidth 19 MHz 2.2 MHz Spatial correlation effects negligible Larger T Arm size 4 m 1.3 m Altitude Global observation, LEO, orbital altitude ground-based - Antenna type Patch antenna with V & H polarizations (not simultaneous) Patch antenna with V & H polarizations (simultaneous) Full-pol (non-sequential) Number of antennas per arm 23 8 +1 (dummy) Improve antenna pattern similarity Number total antennas 69 31 - Antenna spacing 0.875 at 1400 MHz, (21 cm) 0.816 at 1575.42 MHz, (15.5 cm) Increase the alias-free field of view Receiver type single polarization (1 per element) dual polarization (2 per element) Full-pol (non-sequential) Topology of the LO down-converter Distributed LO (groups of 6 elements) Centralized reference clock + internal LO generated in each receiver Reduce LO leakage and correlated offset Quantization 1 bit (Inside the LICEF ) 8 bits IF sub-sampling using a external ADC Digital I/Q demodulation Digital Power measurement Digital LPF I/Q conversion Analog Digital Elimination quadrature error Frequency response shaped by Analog RF filter Digital low- pass filter Mass reduction, quasi perfect matching, no temperature and aging drifts Power measurement system (PMS) Analog (Schottky diode) Digital (FPGA) Mass reduction, Thermal drifts minimized Calibration by Noise Injection Injection of Distributed noise Injection of Centralized noise or PRN signal Simpler calibration. Calibration of non-separable errors Recs’ freq. response estimation Image capabilities Dual-pol or full-pol (sequential) Full-pol (non-sequential) Necessary to GNSS-R applications
5.
6. 3.2. Use of PRN Signals for: Receiver’s frequency response / 13 A S PRN +S R2 S PRN +S R1 Correlation of receivers’ output with local replica of PRN signal injected allows individual frequency responses to be measured (amplitude and phase) Using: PRN sequences
7.
8.
9. 5.1. Preliminary results (i): Impulse response / 13 FFT Point Source : PRN signal (-70 dBm) Moving the Instrument (no temperature control) El +/- 10º, +/- 20º Az +/- 10º, +/- 20º Pol H Az= 0º El= 0º Pol H Az= +10º El= 0º Pol H Az= +20º El= 0º Pol V Az= 0º El= +10º Pol V Az= 0º El= +20º PRN Signal Rectangular window for visibility samples Antenna 1 PRN Source 1 Instrumen t
10. 5.2. Preliminary results (ii): Angular resolution / 13 FFT Point Source : PRN signals (-70 dBm) 7 antennas per arm + rectangular window Sources – PAU-SA distance at 10 m Angular resolution ( ξ , η ) ~ 5.7º 2 PRN Signals Rectangular window PRN Source 1 Antenna 1 PRN Source 2 Antenna 2 Instrumen t Antennas separation at: (Near field) No near-to-far field transformation applied 1 m 2 m 3 m 4 m
11. 5.3. Preliminary results (iii): GPS satellites / 13 FFT GPS Signal Rectangular window UPC location GPS orbit UTC 12:44:03 K UTC 12:22:03 K UTC 12:00:03 K UTC 11:38:03 K