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Loudspeaker FM and AM Distortion an 10
Loudspeaker FM and AM Distortion AN 10 Application Note to the KLIPPEL R&D SYSTEM The amplitude modulation of a high frequency tone f1 (voice tone) and a low frequency tone f2 (bass tone) is measured by using the 3D Distortion Measurement module (DIS) of the KLIPPEL R&D SYSTEM. The maximal variation of the envelope of the voice tone f1 is represented by the top and bottom value referred to the averaged envelope. The amplitude modulation distortion (AMD) is the ratio between the rms value of the variation referred to the averaged value and is comparable to the modulation distortion Ld2 and Ld3 of the IEC standard 60268 provided that the loudspeaker generates pure amplitude modulation of second- or third-order. The measurement of amplitude modulation distortion (AMD) allows assessment of the effects of Bl(x) and Le(x) nonlinearity and radiation distortion due to pure amplitude modulation without Doppler effect. CONTENTS: 1 Method of Measurement ............................................................................................................................... 2 2 Checklist for dominant modulation distortion ............................................................................................... 3 3 Using the 3D distortion measurement (DIS) .................................................................................................. 4 4 Setup parameters for DIS Module .................................................................................................................. 4 5 Example ......................................................................................................................................................... -
Statistical Distortion: Consequences of Data Cleaning
Statistical Distortion: Consequences of Data Cleaning Tamraparni Dasu Ji Meng Loh AT&T Labs Research AT&T Labs Research 180 Park Avenue 180 Park Avenue Florham Park, NJ 07932 Florham Park, NJ 07932 [email protected] [email protected] ABSTRACT There is considerable research in the database community We introduce the notion of statistical distortion as an essen- on varied aspects of data quality, data repair and data clean- tial metric for measuring the effectiveness of data cleaning ing. Recent work includes the use of machine learning for strategies. We use this metric to propose a widely applica- guiding database repair [14]; inferring and imputing miss- ble yet scalable experimental framework for evaluating data ing values in databases [10] ; resolving inconsistencies using cleaning strategies along three dimensions: glitch improve- functional dependencies [6]; and for data fusion [8]. ment, statistical distortion and cost-related criteria. Exist- From an enterprise perspective, data and information qual- ing metrics focus on glitch improvement and cost, but not ity assessment has been an active area of research as well. on the statistical impact of data cleaning strategies. We The paper [12] describes subjective and objective measures illustrate our framework on real world data, with a compre- for assessing the quality of a corporation’s data. An overview hensive suite of experiments and analyses. of well known data quality techniques and their comparative uses and benefits is provided in [2]. A DIMACS/CICCADA 1 workshop on data quality metrics featured a mix of speak- 1. INTRODUCTION ers from database and statistics communities. It covered a Measuring effectiveness of data cleaning strategies is al- wide array of topics from schema mapping, graphs, detailed most as difficult as devising cleaning strategies. -
En 300 720 V2.1.0 (2015-12)
Draft ETSI EN 300 720 V2.1.0 (2015-12) HARMONISED EUROPEAN STANDARD Ultra-High Frequency (UHF) on-board vessels communications systems and equipment; Harmonised Standard covering the essential requirements of article 3.2 of the Directive 2014/53/EU 2 Draft ETSI EN 300 720 V2.1.0 (2015-12) Reference REN/ERM-TG26-136 Keywords Harmonised Standard, maritime, radio, UHF ETSI 650 Route des Lucioles F-06921 Sophia Antipolis Cedex - FRANCE Tel.: +33 4 92 94 42 00 Fax: +33 4 93 65 47 16 Siret N° 348 623 562 00017 - NAF 742 C Association à but non lucratif enregistrée à la Sous-Préfecture de Grasse (06) N° 7803/88 Important notice The present document can be downloaded from: http://www.etsi.org/standards-search The present document may be made available in electronic versions and/or in print. The content of any electronic and/or print versions of the present document shall not be modified without the prior written authorization of ETSI. In case of any existing or perceived difference in contents between such versions and/or in print, the only prevailing document is the print of the Portable Document Format (PDF) version kept on a specific network drive within ETSI Secretariat. Users of the present document should be aware that the document may be subject to revision or change of status. Information on the current status of this and other ETSI documents is available at http://portal.etsi.org/tb/status/status.asp If you find errors in the present document, please send your comment to one of the following services: https://portal.etsi.org/People/CommiteeSupportStaff.aspx Copyright Notification No part may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm except as authorized by written permission of ETSI. -
DTV Interference Rejection Thresholds Are Shown on the Plot As a Reference
Interference Rejection Thresholds of Consumer Digital Television Receivers Available in 2005 and 2006 March 30, 2007 Technical Research Branch Laboratory Division Office of Engineering and Technology Federal Communications Commission OET Report Prepared by: FCC/OET 07-TR-1003 Stephen R. Martin ACKNOWLEDGEMENTS The author gratefully acknowledges the following contributions to this work. Mark Hryszko of the Digital Television group of Advanced Micro Devices provided the “Muddy Waters” RF vector file (mathematically derived from an MPEG2 transport stream) that was used with the Wavetech WS2100 RF player to provide a “desired signal” for the final few tests performed for this report. John Gabrysch of the Commission’s Media Bureau set up and evaluated the performance of the Rohde and Schwarz SFU DTV signal generator and developed channel assignment files for the instrument. The work of Charles Rhodes on third-order intermodulation inspired the paired-signal tests in this project. Gary Sgrignoli of MSW provided a fast-track DTV education to prepare the author for the prequel to this project. The author thanks the following Commission employees for reviewing drafts of this document: Alan Stillwell, Rashmi Doshi, and William Hurst (Office of Engineering and Technology); Doug Miller, John Raymond, and Steve DeSena (Enforcement Bureau); Richard Engelman and Sankar Persaud (International Bureau). The author also acknowledges the support of wife, Dr. Bonnie Dorr, through many long hours spent completing this work. i TABLE OF CONTENTS EXECUTIVE SUMMARY -
Spatial Characteristics of Distortion Radiated from Antenna Arrays with Transceiver Nonlinearities Christopher Mollen,´ Ulf Gustavsson, Thomas Eriksson, Erik G
1 Spatial Characteristics of Distortion Radiated from Antenna Arrays with Transceiver Nonlinearities Christopher Mollen,´ Ulf Gustavsson, Thomas Eriksson, Erik G. Larsson Abstract—The distortion from massive MIMO (multiple-input– paper is to give a rigorous description of the distortion created multiple-output) base stations with nonlinear amplifiers is studied by nonlinear hardware in multi-antenna transmitters, and to and its radiation pattern is derived. The distortion is analyzed quantify to which degree the distortion combines coherently. both in-band and out-of-band. By using an orthogonal Her- mite representation of the amplified signal, the spatial cross- The contribution of this paper is to give a rigorous correlation matrix of the nonlinear distortion is obtained. It continuous-time system model of a multi-antenna transmitter shows that, if the input signal to the amplifiers has a dominant for both single-carrier and OFDM (orthogonal frequency- beam, the distortion is beamformed in the same way as that beam. division multiplexing) transmission that uses digital precoding When there are multiple beams without any one being dominant, to beamform to multiple users. Orthogonal polynomials are it is shown that the distortion is practically isotropic. The derived theory is useful to predict how the nonlinear distortion will used to partition the amplified transmit signal into a desired behave, to analyze the out-of-band radiation, to do reciprocity signal—the linearly amplified signal—and a distortion term calibration, and to schedule users in the frequency plane to that is uncorrelated from the desired signal in order to analyze minimize the effect of in-band distortion. -
WAVEFORM TESTING Victor Nicholson CTIC the Urban Institute
WAVEFORM TESTING Victor Nicholson CTIC The Urban Institute Washington, DC have resulted in many complaints by broadcasters, of excessive degradation of their local channels when carried by a cable system. This is especially true of local UHF signals Abstract where interference is often introduced at the Existing subjective and frequency domain head end by the mixing of harmonics of the local testing procedures are shown to have major oscillator from the converter with other UHF. weaknesses in ensuring the delivery of accep Distribution system testing has little value in table television pictures to cable subscribers. resolving these complaints. Recommended, instead, are waveform test techniques using VIT signals as generated by Waveform test procedures have had little the networks. Applications of measurement application in the past to the cable industry as procedures and performance objectives are it was expensive to introduce these test signals discussed for echoes, noise and chrominance I at the head end. In addition, they provided no luminance gain and delay. information as to the quality of incoming tele ·,rision signals. Equipment was necessary to demodulate each channel, insert these diagnostic signals and then remodulate them; all of which added degradation to the desired TV signal. Today, waveform test procedures are applicable to the cable industry as these diagnostic signals are already injected into the Waveform testing of television signals four major network transmissions; ABC, CBS, introduces a valuable concept to the performance NBC, and PBS. This eliminates the need for testing and maintenance of R. F. distribution a cable operator to own expensive equipment to systems; including cable, satellite and fiber introduce these signals. -
Nonlinear Distortion Identification Based on Intra-Wave Frequency
Appl. Math. Inf. Sci. 6, No. 3, 689-695 (2012) 689 Applied Mathematics & Information Sciences An International Journal ⃝c 2012 NSP Natural Sciences Publishing Cor. Nonlinear Distortion Identification based on Intra-wave Frequency Modulation Yutian Wang1, Hui Wang1 and Qin Zhang1 Information Engineering School, Communication University of China, Beijing 100024, China Received: Apr. 8, 2012; Revised May 4, 2012; Accepted May 26, 2012 Published online: 1 September 2012 Abstract: Recently, most of the methods used to measure and analysis signal property are based on the linear transform theory, such as FFT, STFT, wavelet, etc. Unfortunately, these methods usually cause meaningless results when it is used to analysis nonlinear signal. In this paper, we use Hilbert-Huang transform (HHT) to review the nonlinear distortion and define a novel nonlinear parameter named Nonlinear Distortion Degree (NDD) which is based on intra-wave frequency modulation measurement. The loudspeaker model simulations are used to illustrate the intra-wave frequency modulation caused by nonlinear distortion. The results agree that NDD can reveal more accurate and physical meaningful nonlinear distortion characteristic. Keywords: Nonlinear distortion, HHT, intra-wave frequency modulation, loudspeaker. 1. Introduction Huang et. al. raised a novel signal processing method named Hilbert-Huang Transform (HHT) based on EMD (Empirical Mode Decomposition), which is suitable for In the signal analysis field, Fourier based analysis meth- analyzing nonlinear and non-stationary signal [2]. Differ- ods such as FFT and STFT take the dominated position. ent from the traditional signal processing methods, the H- However, there are some crucial restrictions of the Fourier HT is an adaptive decomposition method and can yield spectral analysis: the system must be linear and the data more physical results. -
Basics of Video
Basics of Video Yao Wang Polytechnic University, Brooklyn, NY11201 [email protected] Video Basics 1 Outline • Color perception and specification (review on your own) • Video capture and disppy(lay (review on your own ) • Analog raster video • Analog TV systems • Digital video Yao Wang, 2013 Video Basics 2 Analog Video • Video raster • Progressive vs. interlaced raster • Analog TV systems Yao Wang, 2013 Video Basics 3 Raster Scan • Real-world scene is a continuous 3-DsignalD signal (temporal, horizontal, vertical) • Analog video is stored in the raster format – Sampling in time: consecutive sets of frames • To render motion properly, >=30 frame/s is needed – Sampling in vertical direction: a frame is represented by a set of scan lines • Number of lines depends on maximum vertical frequency and viewingg, distance, 525 lines in the NTSC s ystem – Video-raster = 1-D signal consisting of scan lines from successive frames Yao Wang, 2013 Video Basics 4 Progressive and Interlaced Scans Progressive Frame Interlaced Frame Horizontal retrace Field 1 Field 2 Vertical retrace Interlaced scan is developed to provide a trade-off between temporal and vertical resolution, for a given, fixed data rate (number of line/sec). Yao Wang, 2013 Video Basics 5 Waveform and Spectrum of an Interlaced Raster Horizontal retrace Vertical retrace Vertical retrace for first field from first to second field from second to third field Blanking level Black level Ӈ Ӈ Th White level Tl T T ⌬t 2 ⌬ t (a) Խ⌿( f )Խ f 0 fl 2fl 3fl fmax (b) Yao Wang, 2013 Video Basics 6 Color -
On Nicam Datacasting
ON NICAM DATACASTING Cristian Ciressan, Lucian Prodan EPFL CH-1015 Ecublens, Suisse Emails: [email protected]fl.ch, prodan@epfl.ch Abstract Data transmission technologies changes rapidly these days due to increased re- quirements in bandwidth and reliability. NICAM standard (which stands for Near Instantaneous Companded Audio Multiplex ) was designed to be a digital audio transmission standard and later it was used by the BBC to convey digital stereo sound for TV. It was obvious that allowing data transmission would be, if not a must, at least a welcome feature and in consequence it was extended to allow raw data or mixed data and sound to be transmitted. NICAM is feasible for terrestrial, cable, microwave links and satellites. This paper introduces some basic notions about NICAM datacasting and presents the results of a project whose aim was to design two PC-cards that allow unidirectional data transmission using the NICAM standard. Keywords: NICAM 728, subcarrier, QPSK 1. Introduction NICAM (or to give it its full name, NICAM 728) was invented during the early 1980’s by the BBC Research Center, Kingswood Warren. It was first applied to the British ”System I” 625 line PAL colour TV broadcasting system, and premiered in 1986 on the ”First Night of the Proms” concert program. Since that time it has been slightly modified by the Nordic broadcasters to work with the more common “System B/G” used over much of continental Europe. It has been demonstrated to work also with “System D/K” used in some countries of eastern Europe , and with “System L” used in France. -
Secam Decoder
MITSUBISHI LINEAR INTEGRATED CIRCUIT M52325AP SECAM DECODER [GENERAL DESCRIPTION] pin configuration The M52325AP is designed for SECAM chrominance decoding.The IC should preferably be used in conjunction with PAL / NTSC signal processor M52340SP and the fref / IDENT 1 16 CVBS IN switched capacitor baseband delay line. It consists of a bell filter,a demodulator and an identification BELL OUT 2 15 SAND IN circuit. The IC needs no adjustment and few external Vcc 3 M52325AP 14 BLACK ADJ. R components are required. A signal with highly stable BAND GAP 4 13 PLL auto 1 reference frequency is required for the calibration, and a three - level sandcastle pulse for blanking and burst gating. SACAM KILLER OUT 5 12 PLL auto2 GND 6 11 BLACK ADJ. B BELL ref. 7 10 - (B - Y ) OUT [FEATURES] PLL ref. 8 9 - (R - Y ) OUT • Fully integrated filters 16 PIN DIL PLASTIC PACKAGE • No adjustment • Few external compornents • Used with a switched capacitor baseband delay line [STRUCRURE] [APPLICATION] Bipolar Silicon Monolithic IC SECAM Color Television 16 PIN DIL PLASTIC PACKAGE [QUICK REFERENCE DATA] SYMBOL PARAMETER MIN. TYP. MAX. UNIT positive power supply Vcc pin3 7.5 8.0 8.5 V Icc supply current pin3 18 24 30 mA input dynamic range VDR - 1.0 1.4 Vp-p pin16 -(R-Y) output voltage amplitude VR-Y 0.85 1.00 1.15 Vp-p (peak to peak value) ;pin9 -(B-Y) output voltage amplitude VB-Y (peak to peak value) ;pin10 1.10 1.24 1.43 Vp-p MITSUBISHI 1 - 13 MITSUBISHI LINEAR INTEGRATED CIRCUIT M52325AP SECAM DECODER Vcc=8.0V 0.1µ F + BELL PLL PLL OUT 22µF auto2 auto1 0.1µF 2 12 13 3 BAND GAP BANDGAP 4 CVBS IN BELL ACC AMP PLL 16 FILTER B-Y 10 -(B-Y) BELL OUTPUT OUT ref. -
Adv7177/Adv7178
Integrated Digital CCIR-601 to PAL/NTSC Video Encoder ADV7177/ADV7178 FEATURES ITU-R BT601/656 YCrCb to PAL/NTSC video encoder Color-signal control/burst-signal control High quality, 9-bit video DACs Interlaced/noninterlaced operation Integral nonlinearity <1 LSB at 9 bits Complete on-chip video timing generator NTSC-M, PAL-M/N, PAL-B/D/G/H/I OSD support (ADV7177 only) Single 27 MHz crystal/clock required (±2 oversampling) Programmable multimode master/slave operation 75 dB video SNR Macrovision AntiTaping Rev. 7.01 (ADV7178 only)1 32-bit direct digital synthesizer for color subcarrier Closed captioning support Multistandard video output support: On-board voltage reference Composite (CVBS) 2-wire serial MPU interface (I2C®-compatible) Component S-video (Y/C) Single-supply 5 V or 3 V operation Component YUV or RGB Small 44-lead MQFP package Video input data port supports: CCIR-656 4:2:2 8-bit parallel input format Synchronous 27 MHz/13.5 MHz clock output 4:2:2 16-bit parallel input format Full video output drive or low signal drive capability APPLICATIONS 34.7 mA max into 37.5 Ω (doubly terminated 75 R) MPEG-1 and MPEG-2 video, DVD, digital satellite, 5 mA min with external buffers cable systems (set-top boxes/IRDs), digital TVs, Programmable simultaneous composite and S-VHS CD video/karaoke, video games, PC video/multimedia (VHS) Y/C or RGB (SCART)/YUV video outputs Programmable luma filters (low-pass/notch/extended) 1 The Macrovision anticopy process is licensed for noncommercial home use Programmable VBI (vertical blanking interval) only, which is its sole intended use in the device. -
AD8188/AD8189 350 Mhz Single-Supply (5 V)
350 MHz Single-Supply (5 V) Triple 2:1 Multiplexers AD8188/AD8189 FEATURES FUNCTIONAL BLOCK DIAGRAM Fully buffered inputs and outputs IN0A 1 24 VCC Fast channel-to-channel switching: 4 ns DGND 2 LOGIC 23 OE Single-supply operation (5 V) IN1A 3 22 SEL A/B V 4 SELECT 21 V High speed REF ENABLE CC 350 MHz bandwidth (−3 dB) @ 200 mV p-p IN2A 5 0 20 OUT0 300 MHz bandwidth (−3 dB) @ 2 V p-p VCC 6 19 VEE Slew rate: 1000 V/μs VEE 7 1 18 OUT1 Fast settling time: 7 ns to 0.1% IN2B 8 17 VCC V 9 2 16 OUT2 Low current: 19 mA/20 mA EE IN1B 10 15 VEE Excellent video specifications: load resistor (RL) = 150 Ω VEE 11 14 DVCC Differential gain error: 0.05% IN0B 12 AD8188/AD8189 13 VCC Differential phase error: 0.05° 06239-001 Low glitch Figure 1. All hostile crosstalk −84 dB @ 5 MHz −52 dB @ 100 MHz High off isolation: −95 dB @ 5 MHz Low cost Fast, high impedance disable feature for connecting multiple outputs Logic-shifted outputs APPLICATIONS Switching RGB in LCD and plasma displays RGB video switchers and routers GENERAL DESCRIPTION The AD8188 (G = 1) and AD8189 (G = 2) are high speed, 4.0 6.0 single-supply, triple 2-to-1 multiplexers. They offer −3 dB small 3.5 5.5 signal bandwidth of 350 MHz and −3 dB large signal bandwidth 3.0 5.0 of 300 MHz, along with a slew rate in excess of 1000 V/μs.