Radio Noise from External Sources Along with the Associated Loss of Signal- Detection Capability
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Autoencoding Neural Networks As Musical Audio Synthesizers
Proceedings of the 21st International Conference on Digital Audio Effects (DAFx-18), Aveiro, Portugal, September 4–8, 2018 AUTOENCODING NEURAL NETWORKS AS MUSICAL AUDIO SYNTHESIZERS Joseph Colonel Christopher Curro Sam Keene The Cooper Union for the Advancement of The Cooper Union for the Advancement of The Cooper Union for the Advancement of Science and Art Science and Art Science and Art NYC, New York, USA NYC, New York, USA NYC, New York, USA [email protected] [email protected] [email protected] ABSTRACT This training corpus consists of five-octave C Major scales on var- ious synthesizer patches. Once training is complete, we bypass A method for musical audio synthesis using autoencoding neural the encoder and directly activate the smallest hidden layer of the networks is proposed. The autoencoder is trained to compress and autoencoder. This activation produces a magnitude STFT frame reconstruct magnitude short-time Fourier transform frames. The at the output. Once several frames are produced, phase gradient autoencoder produces a spectrogram by activating its smallest hid- integration is used to construct a phase response for the magnitude den layer, and a phase response is calculated using real-time phase STFT. Finally, an inverse STFT is performed to synthesize audio. gradient heap integration. Taking an inverse short-time Fourier This model is easy to train when compared to other state-of-the-art transform produces the audio signal. Our algorithm is light-weight methods, allowing for musicians to have full control over the tool. when compared to current state-of-the-art audio-producing ma- This paper presents improvements over the methods outlined chine learning algorithms. -
Waveos User Guide
WAVEOS USER GUIDE DTUS070 rev A.5 – December, 2016 Page 2 / 273 COPYRIGHT (©) ACKSYS 2016-2017 This document contains information protected by Copyright. The present document may not be wholly or partially reproduced, transcribed, stored in any computer or other system whatsoever, or translated into any language or computer language whatsoever without prior written consent from ACKSYS Communications & Systems - ZA Val Joyeux – 10, rue des Entrepreneurs - 78450 VILLEPREUX - FRANCE. REGISTERED TRADEMARKS ® Ø ACKSYS is a registered trademark of ACKSYS. Ø Linux is the registered trademark of Linus Torvalds in the U.S. and other countries. Ø CISCO is a registered trademark of the CISCO company. Ø Windows is a registered trademark of MICROSOFT. Ø WireShark is a registered trademark of the Wireshark Foundation. Ø HP OpenView® is a registered trademark of Hewlett-Packard Development Company, L.P. Ø VideoLAN, VLC, VLC media player are internationally registered trademark of the French non-profit organization VideoLAN. DISCLAIMERS ACKSYS ® gives no guarantee as to the content of the present document and takes no responsibility for the profitability or the suitability of the equipment for the requirements of the user. ACKSYS ® will in no case be held responsible for any errors that may be contained in this document, nor for any damage, no matter how substantial, occasioned by the provision, operation or use of the equipment. ACKSYS ® reserves the right to revise this document periodically or change its contents without notice. DTUS070 rev A.5 – December, 2016 Page 3 / 273 REGULATORY INFORMATION AND DISCLAIMERS Installation and use of this Wireless LAN device must be in strict accordance with local regulation laws and with the instructions included in the user documentation provided with the product. -
Social Determinants of Unmet Hospitalisation
Nagulapalli, S 2013 Data from “Social determinants of unmet hospitalisation need amongst the poor in Andhra Pradesh, India: A cross-sectional study.” Journal of Open Public Health Data 1(1):e6, DOI: http://dx.doi.org/10.5334/jophd.af DATA PAPER Data from “Social determinants of unmet hospitalisation need amongst the poor in Andhra Pradesh, India: A cross- sectional study.” Srikant Nagulapalli1 2 1 Government of Andhra Pradesh, India 2 Collector and District Magistrate of Nellore, Andhra Pradesh, India The dataset is of a health survey amongst the 21.5 million poor families of the Indian state of Andhra Pradesh conducted during April and May 2013. The dataset captures individual characteristics and household characteristics of the past 365 days. Data was collected by 2022 trained field staff of Aarogyasri Health Care Trust (AHCT) of Government of Andhra Pradesh using a questionnaire mod- elled after that used for the health surveys by National Sample Survey Organisation of India. Keywords: health survey of Andhra Pradesh; Rajiv Aarogyasri; unmet hospitalisation need Funding statement The data is not the result of any funded project. (1) Overview (2) Methods Context Steps a) Design of questionnaire: National Sample Survey Spatial coverage Organisation (NSSO), Ministry of Statistics, Government Description: 23 districts Adilabad, Nizamabad, Karimna- of India conducts yearly consumer expenditure surveys as gar, Warangal, Hyderabad, Rangareddy, Medak, Mahbub- well as focussed surveys on health care. The health survey nagar, Nalgonda, Anantapur, Kurnool, Kadapa, Chittoor, questionnaire and the consumer expenditure question- Nellore, Prakasam, Guntur, Krishna, Khammam, West naire used for the 60th round (2004-05) of NSSO were Godavari, East Godavari, Visakhapatnam, Vizianagaram integrated by suitably abridging the consumer expendi- and Srikakulam of Andhra Pradesh state, India were cov- ture details and used for this survey. -
Application Note Template
correction. of TOI measurements with noise performance the improved show examples Measurement presented. is correction a noise of means by improvements range Dynamic explained. are analyzer spectrum of a factors the limiting correction. The basic requirements and noise with measurements spectral about This application note provides information | | | Products: Note Application Correction Noise with Range Dynamic Improved R&S R&S R&S FSQ FSU FSG Application Note Kay-Uwe Sander Nov. 2010-1EF76_0E Table of Contents Table of Contents 1 Overview ................................................................................. 3 2 Dynamic Range Limitations .................................................. 3 3 Signal Processing - Noise Correction .................................. 4 3.1 Evaluation of the noise level.......................................................................4 3.2 Details of the noise correction....................................................................5 4 Measurement Examples ........................................................ 7 4.1 Extended dynamic range with noise correction .......................................7 4.2 Low level measurements on noise-like signals ........................................8 4.3 Measurements at the theoretical limits....................................................10 5 Literature............................................................................... 11 6 Ordering Information ........................................................... 11 1EF76_0E Rohde & Schwarz -
The BPL Dilemma
Reprinted with permission from CQ VHF Magazine, Spring 2004 issue. Copyright CQ Communications 2004 The BPL Dilemma Hams claim Broadband over Power Lines will interfere with their on-the-air operations. The utility companies claim not. Read how they are both right . sort of. By Gary Pearce,* KN4AQ still academic. They haven’t encountered Because of the importance of the it yet. I will provide a quick tutorial. Broadband over Power Lines (BPL) The basics of BPL are simple. It is a issue, “FM” columnist Gary Pearce, method of delivering high-speed internet KN4AQ, devotes his space this time to the to homes and small businesses using the investigation of a BPL test site and the local power lines that crisscross neigh- surrounding area. He will be back in the borhoods either overhead or under- next issue of CQ VHF with his regular ground. This is a brilliantly obvious idea column material. —N6CL (“the wires are already there!”) that was delayed because the AC power grid is a really noisy, crappy signal-delivery ince last fall, I’ve been up to my medium for anything above 60 Hz. The eyeballs in BPL—Broadband over march of technology, however, is mak- Power Lines—and its effect on ing it feasible. It is the third method of Samateur radio. If you’re up on current TV doing that, following DSL (Digital culture, you can call it “HF Eye for the FM Subscriber Line) on the phone lines and Guy.” Our area has been “lucky” enough cable TV (nobody’s come up with a cute to host one of the few BPL trials, courtesy name or acronym for broadband over of my local power company, Progress cable TV; they just call it “cable”). -
ABBREVIATIONS EBU Technical Review
ABBREVIATIONS EBU Technical Review AbbreviationsLast updated: January 2012 720i 720 lines, interlaced scan ACATS Advisory Committee on Advanced Television 720p/50 High-definition progressively-scanned TV format Systems (USA) of 1280 x 720 pixels at 50 frames per second ACELP (MPEG-4) A Code-Excited Linear Prediction 1080i/25 High-definition interlaced TV format of ACK ACKnowledgement 1920 x 1080 pixels at 25 frames per second, i.e. ACLR Adjacent Channel Leakage Ratio 50 fields (half frames) every second ACM Adaptive Coding and Modulation 1080p/25 High-definition progressively-scanned TV format ACS Adjacent Channel Selectivity of 1920 x 1080 pixels at 25 frames per second ACT Association of Commercial Television in 1080p/50 High-definition progressively-scanned TV format Europe of 1920 x 1080 pixels at 50 frames per second http://www.acte.be 1080p/60 High-definition progressively-scanned TV format ACTS Advanced Communications Technologies and of 1920 x 1080 pixels at 60 frames per second Services AD Analogue-to-Digital AD Anno Domini (after the birth of Jesus of Nazareth) 21CN BT’s 21st Century Network AD Approved Document 2k COFDM transmission mode with around 2000 AD Audio Description carriers ADC Analogue-to-Digital Converter 3DTV 3-Dimension Television ADIP ADress In Pre-groove 3G 3rd Generation mobile communications ADM (ATM) Add/Drop Multiplexer 4G 4th Generation mobile communications ADPCM Adaptive Differential Pulse Code Modulation 3GPP 3rd Generation Partnership Project ADR Automatic Dialogue Replacement 3GPP2 3rd Generation Partnership -
Receiver Sensitivity and Equivalent Noise Bandwidth Receiver Sensitivity and Equivalent Noise Bandwidth
11/08/2016 Receiver Sensitivity and Equivalent Noise Bandwidth Receiver Sensitivity and Equivalent Noise Bandwidth Parent Category: 2014 HFE By Dennis Layne Introduction Receivers often contain narrow bandpass hardware filters as well as narrow lowpass filters implemented in digital signal processing (DSP). The equivalent noise bandwidth (ENBW) is a way to understand the noise floor that is present in these filters. To predict the sensitivity of a receiver design it is critical to understand noise including ENBW. This paper will cover each of the building block characteristics used to calculate receiver sensitivity and then put them together to make the calculation. Receiver Sensitivity Receiver sensitivity is a measure of the ability of a receiver to demodulate and get information from a weak signal. We quantify sensitivity as the lowest signal power level from which we can get useful information. In an Analog FM system the standard figure of merit for usable information is SINAD, a ratio of demodulated audio signal to noise. In digital systems receive signal quality is measured by calculating the ratio of bits received that are wrong to the total number of bits received. This is called Bit Error Rate (BER). Most Land Mobile radio systems use one of these figures of merit to quantify sensitivity. To measure sensitivity, we apply a desired signal and reduce the signal power until the quality threshold is met. SINAD SINAD is a term used for the Signal to Noise and Distortion ratio and is a type of audio signal to noise ratio. In an analog FM system, demodulated audio signal to noise ratio is an indication of RF signal quality. -
AN10062 Phase Noise Measurement Guide for Oscillators
Phase Noise Measurement Guide for Oscillators Contents 1 Introduction ............................................................................................................................................. 1 2 What is phase noise ................................................................................................................................. 2 3 Methods of phase noise measurement ................................................................................................... 3 4 Connecting the signal to a phase noise analyzer ..................................................................................... 4 4.1 Signal level and thermal noise ......................................................................................................... 4 4.2 Active amplifiers and probes ........................................................................................................... 4 4.3 Oscillator output signal types .......................................................................................................... 5 4.3.1 Single ended LVCMOS ........................................................................................................... 5 4.3.2 Single ended Clipped Sine ..................................................................................................... 5 4.3.3 Differential outputs ............................................................................................................... 6 5 Setting up a phase noise analyzer ........................................................................................................... -
High Frequency (HF)
Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection 1990-06 High Frequency (HF) radio signal amplitude characteristics, HF receiver site performance criteria, and expanding the dynamic range of HF digital new energy receivers by strong signal elimination Lott, Gus K., Jr. Monterey, California: Naval Postgraduate School http://hdl.handle.net/10945/34806 NPS62-90-006 NAVAL POSTGRADUATE SCHOOL Monterey, ,California DISSERTATION HIGH FREQUENCY (HF) RADIO SIGNAL AMPLITUDE CHARACTERISTICS, HF RECEIVER SITE PERFORMANCE CRITERIA, and EXPANDING THE DYNAMIC RANGE OF HF DIGITAL NEW ENERGY RECEIVERS BY STRONG SIGNAL ELIMINATION by Gus K. lott, Jr. June 1990 Dissertation Supervisor: Stephen Jauregui !)1!tmlmtmOlt tlMm!rJ to tJ.s. eave"ilIE'il Jlcg6iielw olil, 10 piolecl ailicallecl",olog't dU'ie 18S8. Btl,s, refttteste fer litis dOCdiii6i,1 i'lust be ,ele"ed to Sapeihil6iiddiil, 80de «Me, "aial Postg;aduulG Sclleel, MOli'CIG" S,e, 98918 &988 SF 8o'iUiid'ids" PM::; 'zt6lI44,Spawd"d t4aoal \\'&u 'al a a,Sloi,1S eai"i,al'~. 'Nsslal.;gtePl. Be 29S&B &198 .isthe 9aleMBe leclu,sicaf ,.,FO'iciaKe" 6alite., ea,.idiO'. Statio", AlexB •• d.is, VA. !!!eN 8'4!. ,;M.41148 'fl'is dUcO,.Mill W'ilai.,s aliilical data wlrose expo,l is idst,icted by tli6 Arlil! Eurse" SSPItial "at FRIis ee, 1:I.9.e. gec. ii'S1 sl. seq.) 01 tlls Exr;01l ftle!lIi"isllatioli Act 0' 19i'9, as 1tI'I'I0"e!ee!, "Filill ell, W.S.€'I ,0,,,,, 1i!4Q1, III: IIlIiI. 'o'iolatioils of ltrese expo,lla;;s ale subject to 960616 an.iudl pSiiaities. -
Preview Only
AES-6id-2006 (r2011) AES information document for digital audio - Personal computer audio quality measurements Published by Audio Engineering Society, Inc. Copyright © 2006 by the Audio Engineering Society Preview only Abstract This document focuses on the measurement of audio quality specifications in a PC environment. Each specification listed has a definition and an example measurement technique. Also included is a detailed description of example test setups to measure each specification. An AES standard implies a consensus of those directly and materially affected by its scope and provisions and is intended as a guide to aid the manufacturer, the consumer, and the general public. An AES information document is a form of standard containing a summary of scientific and technical information; originated by a technically competent writing group; important to the preparation and justification of an AES standard or to the understanding and application of such information to a specific technical subject. An AES information document implies the same consensus as an AES standard. However, dissenting comments may be published with the document. The existence of an AES standard or AES information document does not in any respect preclude anyone, whether or not he or she has approved the document, from manufacturing, marketing, purchasing, or using products, processes, or procedures not conforming to the standard. Attention is drawn to the possibility that some of the elements of this AES standard or information document may be the subject of patent rights. AES shall not be held responsible for identifying any or all such patents. This document is subject to periodicwww.aes.org/standards review and users are cautioned to obtain the latest edition and printing. -
Noise Reduction by Cross-Correlation
Application Note Noise reduction by parallel Zurich cross-correlation measurements Instruments Applications: Nanoelectronics, Materials Characterization, Low-Temperature Physics, Transport Measurements, DC SQUID Products: MFLI, MFLI-DIG, MDS Release date: May 2019 Introduction 4 10 Studying noise processes can reveal fundamental infor- mation about a physical system; for example, its tem- perature [1, 2, 3],the quantization of charge carriers [4], 3 10 or the nature of many-body behavior [5]. Noise mea- surements are also critical for applications such as sensing, where the intrinsic noise of a detector defines its ultimate sensitivity. In this note, we will describe 100 a generic method for measuring the electronic noise of a device when the spectral density of its intrinsic noise is less than that of the measurement apparatus. 10 We implement the method using a pair of MFLI Lock-in Amplifiers, both with the Digitizer option MF-DIG. To demonstrate the measurement, we measure the 1 noise of a Superconducting Quantum Interference De- 100 101 102 103 104 105 106 vice (SQUID) magnetometer. Typically, SQUIDs are op- erated by supplying a DC bias current and measuring Figure 1. The voltage noise density at the Voltage Input of an MFLI a voltage and, as such, the limiting factor in the mea- Lock-in Amplifier plotted for available Input ranges [6]. surement is usually the noise floor of the voltage pre- amplifier. For a SQUID with gain (transfer function)p VΦ = 1 mV/Φ0 and targetp sensitivity of S = 1 μΦ0/ Hz, larly at low frequencies. One way of resolving signals a noise floor of 1 nV/ Hz is required. -
Uncovering Interference at a Co-Located 800 Mhz P25 Public Safety Communication System Case Study
Case Study Uncovering Interference at a Co-Located 800 MHz P25 Public Safety Communication System RTSA Spectrum Analyzer Key to Uncovering Hard-to-Find Cause Overview RF communication systems have become a critical part of modern life. These systems range from tiny Bluetooth® devices to nationwide, high-speed data systems to public safety critical infrastructure. Because these communication systems share common RF spectrum, interference between them is inevitable. Interference between systems can range from intermittent outages that can cause dropped calls to complete blockage of communication. Resolving these issues requires testing of the system with a test RF receiver or spectrum analyzer to detect and locate the source of interference within the system. 1 Challenge A public safety organization in northern Nevada was experiencing intermittent receive interference alarms on its 800 MHz P25 public safety communications system. An ordinary swept-tuned spectrum analyzer was used in an attempt to locate the interfering signals, however, none were found. After determining it was not a software issue, it was decided that the cause of the issue was likely to be an interfering signal with short duration or even a hopping signal that was being missed by the spectrum analyzer. A spectrum analyzer with real-time spectrum analysis (RTSA) was needed to be utilized to look for any interfering signals. Solution Anritsu’s Field Master Pro™ MS2090A solution with real-time spectrum analyzer option was selected to locate the interfering signal (Figure 1). The Field Master Pro MS2090A has an optional real-time mode that can accurately measure the amplitude of a single spectrum event as short as 2 µs, and detect a single event as short as 5 ns.