Advanced Noise Reduction Techniques for Ultra-Low Phase Noise Optical-To-Microwave Division with Femtosecond Fiber Combs
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Laser Linewidth, Frequency Noise and Measurement
Laser Linewidth, Frequency Noise and Measurement WHITEPAPER | MARCH 2021 OPTICAL SENSING Yihong Chen, Hank Blauvelt EMCORE Corporation, Alhambra, CA, USA LASER LINEWIDTH AND FREQUENCY NOISE Frequency Noise Power Spectrum Density SPECTRUM DENSITY Frequency noise power spectrum density reveals detailed information about phase noise of a laser, which is the root Single Frequency Laser and Frequency (phase) cause of laser spectral broadening. In principle, laser line Noise shape can be constructed from frequency noise power Ideally, a single frequency laser operates at single spectrum density although in most cases it can only be frequency with zero linewidth. In a real world, however, a done numerically. Laser linewidth can be extracted. laser has a finite linewidth because of phase fluctuation, Correlation between laser line shape and which causes instantaneous frequency shifted away from frequency noise power spectrum density (ref the central frequency: δν(t) = (1/2π) dφ/dt. [1]) Linewidth Laser linewidth is an important parameter for characterizing the purity of wavelength (frequency) and coherence of a Graphic (Heading 4-Subhead Black) light source. Typically, laser linewidth is defined as Full Width at Half-Maximum (FWHM), or 3 dB bandwidth (SEE FIGURE 1) Direct optical spectrum measurements using a grating Equation (1) is difficult to calculate, but a based optical spectrum analyzer can only measure the simpler expression gives a good approximation laser line shape with resolution down to ~pm range, which (ref [2]) corresponds to GHz level. Indirect linewidth measurement An effective integrated linewidth ∆_ can be found by can be done through self-heterodyne/homodyne technique solving the equation: or measuring frequency noise using frequency discriminator. -
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. -
Modeling the Impact of Phase Noise on the Performance of Crystal-Free Radios Osama Khan, Brad Wheeler, Filip Maksimovic, David Burnett, Ali M
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—II: EXPRESS BRIEFS, VOL. 64, NO. 7, JULY 2017 777 Modeling the Impact of Phase Noise on the Performance of Crystal-Free Radios Osama Khan, Brad Wheeler, Filip Maksimovic, David Burnett, Ali M. Niknejad, and Kris Pister Abstract—We propose a crystal-free radio receiver exploiting a free-running oscillator as a local oscillator (LO) while simulta- neously satisfying the 1% packet error rate (PER) specification of the IEEE 802.15.4 standard. This results in significant power savings for wireless communication in millimeter-scale microsys- tems targeting Internet of Things applications. A discrete time simulation method is presented that accurately captures the phase noise (PN) of a free-running oscillator used as an LO in a crystal- free radio receiver. This model is then used to quantify the impact of LO PN on the communication system performance of the IEEE 802.15.4 standard compliant receiver. It is found that the equiv- alent signal-to-noise ratio is limited to ∼8 dB for a 75-µW ring oscillator PN profile and to ∼10 dB for a 240-µW LC oscillator PN profile in an AWGN channel satisfying the standard’s 1% PER specification. Index Terms—Crystal-free radio, discrete time phase noise Fig. 1. Typical PN plot of an RF oscillator locked to a stable crystal frequency modeling, free-running oscillators, IEEE 802.15.4, incoherent reference. matched filter, Internet of Things (IoT), low-power radio, min- imum shift keying (MSK) modulation, O-QPSK modulation, power law noise, quartz crystal (XTAL), wireless communication. -
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 -
Primer > PCR Measurements
PCR Measurements PCR Measurements 1,E-01 1,E-02 1,E-03 1,E-04 1,E-05 1,E-06 1,E-07 1,E-08 1,E-09 10-5 10-4 10-3 0,01 0,1 1 10 100 Drift limiting region Jitter limiting region PCR Measurements Primer New measurements in ETR 2901 Synchronizing the Components of a Video Signal Abstract Delivering TV pictures from studio to home entails sending various types of One of the problems for any type of synchronization procedure is the jitter data: brightness, sound, information about the picture geometry, color, etc. on the incoming signal that is the source for the synchronization process. and the synchronization data. Television signals are subject to this general problem, and since the In analog TV systems, there is a complex mixture of horizontal, vertical, analog and digital forms of the TV signal differ, the problems due to jitter interlace and color subcarrier reference synchronization signals. All this manifest themselves in different ways. synchronization information is mixed together with the corresponding With the arrival of MPEG compression and the possibility of having several blanking information, the active picture content, tele-text information, test different TV programs sharing the same Transport Stream (TS), a mechanism signals, etc. to produce the programs seen on a TV set. was developed to synchronize receivers to the selected program. This The digital format used in studios, generally based on the standard ITU-R procedure consists of sending numerical samples of the original clock BT.601 and ITU-R BT.656, does not need a color subcarrier reference frequency. -
AN279: Estimating Period Jitter from Phase Noise
AN279 ESTIMATING PERIOD JITTER FROM PHASE NOISE 1. Introduction This application note reviews how RMS period jitter may be estimated from phase noise data. This approach is useful for estimating period jitter when sufficiently accurate time domain instruments, such as jitter measuring oscilloscopes or Time Interval Analyzers (TIAs), are unavailable. 2. Terminology In this application note, the following definitions apply: Cycle-to-cycle jitter—The short-term variation in clock period between adjacent clock cycles. This jitter measure, abbreviated here as JCC, may be specified as either an RMS or peak-to-peak quantity. Jitter—Short-term variations of the significant instants of a digital signal from their ideal positions in time (Ref: Telcordia GR-499-CORE). In this application note, the digital signal is a clock source or oscillator. Short- term here means phase noise contributions are restricted to frequencies greater than or equal to 10 Hz (Ref: Telcordia GR-1244-CORE). Period jitter—The short-term variation in clock period over all measured clock cycles, compared to the average clock period. This jitter measure, abbreviated here as JPER, may be specified as either an RMS or peak-to-peak quantity. This application note will concentrate on estimating the RMS value of this jitter parameter. The illustration in Figure 1 suggests how one might measure the RMS period jitter in the time domain. The first edge is the reference edge or trigger edge as if we were using an oscilloscope. Clock Period Distribution J PER(RMS) = T = 0 T = TPER Figure 1. RMS Period Jitter Example Phase jitter—The integrated jitter (area under the curve) of a phase noise plot over a particular jitter bandwidth. -
End-To-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping
MITSUBISHI ELECTRIC RESEARCH LABORATORIES https://www.merl.com End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping Talreja, Veeru; Koike-Akino, Toshiaki; Wang, Ye; Millar, David S.; Kojima, Keisuke; Parsons, Kieran TR2020-155 December 11, 2020 Abstract We propose an end-to-end deep learning model for phase noise-robust optical communications. A convolutional embedding layer is integrated with a deep autoencoder for multi-dimensional constellation design to achieve shaping gain. The proposed model offers a significant gain up to 2 dB. European Conference on Optical Communication (ECOC) c 2020 MERL. This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Mitsubishi Electric Research Laboratories, Inc. 201 Broadway, Cambridge, Massachusetts 02139 End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping Veeru Talreja, Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons Mitsubishi Electric Research Labs., 201 Broadway, Cambridge, MA 02139, USA., [email protected] Abstract We propose an end-to-end deep learning model for phase noise-robust optical communi- cations. -
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 ........................................................................................................... -
MDOT Noise Analysis and Public Meeting Flow Chart
Return to Handbook Main Menu Return to Traffic Noise Home Page SPECIAL NOTES – Special Situations or Definitions INTRODUCTION 1. Applicable Early Preliminary Engineering and Design Steps 2. Mandatory Use of the FHWA Traffic Noise Model (TMN) 1.0 STEP 1 – INITIAL PROJECT LEVEL SCOPING AND DETERMINING THE APPROPRIATE LEVEL OF NOISE ANALYSIS 3. Substantial Horizontal or Vertical Alteration 4. Noise Analysis and Abatement Process Summary Tables 5. Controversy related to non-noise issues--- 2.0 STEP 2 – NOISE ANALYSIS INITIAL PROCEDURES 6. Developed and Developing Lands: Permitted Developments 7. Calibration of Noise Meters 8. Multi-family Dwelling Units 9. Exterior Areas of Frequent Human Use 10. MDOT’s Definition of a Noise Impact 3.0 STEP 3 – DETERMINING HIGHWAY TRAFFIC NOISE IMPACTS AND ESTABLISHING ABATEMENT REQUIREMENTS 11. Receptor Unit Soundproofing or Property Acquisition 12. Three-Phased Approach of Noise Abatement Determination 13. Non-Barrier Abatement Measures 14. Not Having a Highway Traffic Noise Impact 15. Category C and D Analyses 16. Greater than 5 dB(A) Highway Traffic Noise Reduction 17. Allowable Cost Per Benefited Receptor Unit (CPBU) 18. Benefiting Receptor Unit Eligibility 19. Analyzing Apartment, Condominium, and Single/Multi-Family Units 20. Abatement for Non-First/Ground Floors 21. Construction and Technology Barrier Construction Tracking 22. Public Parks 23. Land Use Category D 24. Documentation in the Noise Abatement Details Form Return to Handbook Main Menu Return to Traffic Noise Home Page Return to Handbook Main Menu Return to Traffic Noise Home Page 3.0 STEP 3 – DETERMINING HIGHWAY TRAFFIC NOISE IMPACTS AND ESTABLISHING ABATEMENT REQUIREMENTS (Continued) 25. Barrier Optimization 26. -
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. -
R&D Report 1966-30
RESEARCH DEPARTMENT . Visibility of sound /chrominance pattern with the PAL system: dependence upon offset of intercarrier frequency and upon sound modulation RESEARCH REPORT No. G -102 UDC 621.391.837.41:621.397.132 1966/30 THE BRITISH BROADCASTING CORPORATION ENGINEERING DIVISION RESEARCH DEPARTMENT VISIBILITY OF SOUND/CHROMINANCE PATTERN WITH THE PAL SYSTEM: DEPENDENCE UPON OFFSET OF INTERCARRIER FREQUENCY AND UPON SOUND MODULATION Research Report No. 0-102 UDe 621.391.837.41: 1966/30 621.397.132 R.V. Harvey, B.Sc., A."1.I.E.E. for Head of Research Department This Report is the property of the British Broadcasting Corporation and may not be reproduced in any form without the written permission of the Corporation. TblB R~porl u~e8 SI units 1n ftctor daone with B .. 8. dO(lUII.8nt PD I'HJ86. Research Report No. 0-102 VISIBILITY OF SOUND/CHROMINANCE PATTERN WITH THE PAL SYSTEM: DEPENDENCE UPON OFFSET OF INTERCARRIER FREQUENCY AND UPON SOUND MODULATION Section Title Page SUMMARY .... 1 1. INTRODUCTION. 1 2. THE CHOICE OF A COLOUR SUBCARRIER FREQUENCY 1 3. THE CHOICE OF A SOUND CARRIER FREQUENCY. 2 4. ASSESSMENT OF PATTERN VISIBILITY WITH SOUND CARRIER OFFSET. 2 4.1. Experimental Procedure . 2 4.2. Dis~ussion of Experimental Results. 2 5. DETER\1INA TION OF THE OPTPvIU\1 INTER-CARRIER FREQUENCY AND ITS TOLERANCE ............................. 5 . 6. CONCLUSIONS . ....................... , ...... 5 7. REFERENCES. ............................... 5 June 1966 Research Report No. 0-102 UDe 621.391.837.41: 1966/30 621.397.132 VISIBILITY OF SOUND/CHROMINANCE PATTERN WITH THE PAL SYSTEM: DEPENDENCE UPON OFFSET OF INTERCARRIER FREQUENCY AND UPON SOUND MODULATION SUMMARY In order to minimize the visibility of the sound/chrominance beat pattern in compatible reception of PAL colour transmissions, an optimum sound/ vision intercarrier frequency may be specified, together with a frequency tolerance.