White noise

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White noise is a random signal (or process) with a flat power spectral density. (Wikipedia.org)






Conferences related to White noise

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2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

For its 20th year edition, the IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) 2019, returns to the country that saw its birth, France. Held in Cannes, in the heart of the world renown “French Riviera” (Cote d’Azur in French), the SPAWC 2019 will exhibit a technical program complete with high profile plenaries, invited and contributed papers, all appearing under IEEE explore. A flagship workshop of the IEEE SP Society SPCOM technical committee, SPAWC 2019 will combine cutting edge research in the fields of signal processing, statistical learning, communication theory, wireless networking and more, together with an exciting social program on the glamorous and sunny Riviera.


2019 IEEE 58th Conference on Decision and Control (CDC)

The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).


2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


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Periodicals related to White noise

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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Xplore Articles related to White noise

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Continuous-time AR process parameter estimation in presence of additive white noise

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA', u'full_name': u'H. Fan'}, {u'author_order': 2, u'full_name': u'T. Soderstrom'}, {u'author_order': 3, u'full_name': u'Y. Zou'}] IEEE Transactions on Signal Processing, 1999

Must existing work so far on continuous-time AR (CAR) parameter estimation concentrates on the noiseless measurement case. When measurement noise is present, our previous results on CAR parameter estimation need to be revised accordingly. Here we model the additive measurement noise as continuous-time white noise, and consider some approaches including average sampling and the direct LS method which we developed ...


The Channel Capacity in the Presence of Impulse Noise

[{u'author_order': 1, u'affiliation': u'Bellcore, Morristown, NJ', u'authorUrl': u'https://ieeexplore.ieee.org/author/37318257400', u'full_name': u'K.J. Kerpez', u'id': 37318257400}] Proceedings. IEEE International Symposium on Information Theory, 1993

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On the Optimal Filters for a Fixed-Range Radar

[{u'author_order': 1, u'affiliation': u'Sandia Labs. Albuquerque, N. Mex. 87115', u'full_name': u'T. S. Edrington'}] IEEE Transactions on Aerospace and Electronic Systems, 1972

The jointly optimal filters of a filter-sampler-filter system, representative of a fixed-range radar, are shown to each have impulse-response functions of the form a · cos(at), 0 ≤ t ≤ π/2a.


Noise amplification of periodic nonuniform sampling

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng. Syst., Tel Aviv Univ., Israel', u'authorUrl': u'https://ieeexplore.ieee.org/author/37284852700', u'full_name': u'D. Seidner', u'id': 37284852700}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37284132300', u'full_name': u'M. Feder', u'id': 37284132300}] IEEE Transactions on Signal Processing, 2000

We discuss periodic nonuniform sampling as described by Yen (1956). Such a sampling scheme is more sensitive to additive white noise than uniform sampling. We give an explicit formula for the noise amplification of periodic nonuniform sampling compared with uniform sampling.


A representation result for nonlinear filter maps in a white noise framework

[{u'author_order': 1, u'affiliation': u'Dept. of Math., Essex Univ., Colchester, UK', u'authorUrl': u'https://ieeexplore.ieee.org/author/37265473000', u'full_name': u'R.R. Mazumdar', u'id': 37265473000}, {u'author_order': 2, u'authorUrl': u'https://ieeexplore.ieee.org/author/37356648500', u'full_name': u'A. Bagchi', u'id': 37356648500}] IEEE Transactions on Automatic Control, 1999

The authors consider the nonlinear filtering model with additive white noise to be the identity map on L/sub 2/[0,T] with standard Gauss measure thereon. Using a representation result for maps which are continuous in a locally convex topology generated by seminorms of Hilbert-Schmidt operators on the Hilbert space, the authors show that the filter map can be written as the ...


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IEEE.tv Videos

An Analysis of Phase Noise Requirements for Ultra-Low-Power FSK Radios: RFIC Interactive Forum 2017
IMS 2011 Microapps - A Comparison of Noise Parameter Measurement Techniques
Noise Enhanced Information Systems: Denoising Noisy Signals with Noise
IMS 2011 Microapps - Ultra Low Phase Noise Measurement Technique Using Innovative Optical Delay Lines
IEEE Innovation Day 2011-Innovation Day Keynote Address
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 7 of 7 - SQUID-based noise thermometers for sub-Kelvin thermometry
IMS 2012 Microapps - Phase Noise Choices in Signal Generation: Understanding Needs and Tradeoffs Riadh Said, Agilent
APEC Speaker Highlights: Robert White, Chief Engineer, Embedded Power
IMS 2012 Special Sessions: The Evolution of Some Key Active and Passive Microwave Components - E. C. Niehenke
MicroApps: Phase Noise, Allan Variance, and Frequency Reference (Agilent Technologies)
Sean White: Distinguished Experts Panel - TTM 2018
Impact of Linearity and Write Noise of Analog Resistive Memory: IEEE Rebooting Computing 2017
A Transformer-Based Inverted Complementary Cross-Coupled VCO with a 193.3dBc/Hz FoM and 13kHz 1/f3 Noise Corner: RFIC Interactive Forum
A 40GHz PLL with -92.5dBc/Hz In-Band Phase Noise and 104fs-RMS-Jitter: RFIC Interactive Forum 2017
IMS 2014: A 600 GHz Low-Noise Amplifier Module
Compact 75 GHz LNA with 20-dB Gain and 4-dB Noise Figure - Woorim Shin - RFIC Showcase 2018
A Low Power High Performance PLL with Temperature Compensated VCO in 65nm CMOS: RFIC Interactive Forum
Noise-Shaped Active SAR Analog-to-Digital Converter - IEEE Circuits and Systems Society (CAS) Distinguished Lecture
IMS 2014: LNA Modules for the WR4 (170-260 GHz) Frequency Range
Transistors for THz Systems

IEEE-USA E-Books

  • Basics

    This chapter contains sections titled:Noise: Definition, Modeling, PropertiesSignal: Definition, Modeling, PropertiesClassification: Suppression, Cancellation, EnhancementSampling and QuantizationAudio Processing in the Frequency DomainBandwidth LimitingSignal‐to‐Noise‐Ratio: Definition and MeasurementSubjective Quality MeasurementOther Methods for Quality and Enhancement MeasurementSummaryBibliography

  • Correlator Output SNR, Effective C/N0, and I/S

    The combination of signals, noise, and interference at the receiver input affects correlator output signal-to-noise ratio (SNR), an important measure of receiver performance. This chapter describes the concept of correlator output SNR and defines it rigorously, leading to the important concepts of effective C/N0and processing gain. It discusses the severity of an interference environment in terms of the interference power-to-signal power ratio, or I/S and also describes the conversion between effective C/N0and I/S. The resulting tools can then be extended and applied to assess the effects of multiple access interference (MAI) from a given constellation, and even from a number of constellations. Correlator output SNR is the primary metric used to assess receiver performance in interference, and expressions for correlator output. Spectral separation coefficients (SSCs) are a powerful tool for assessing the effect of interference on correlator output SNR.

  • Introduction

    This introduction presents an overview of the key concepts discussed in the subsequent chapters of this book. The book explores how should efficient signal coding work when very narrow bandwidths per bit are available. Communication transmits messages through time and space. In communication engineering, sending a symbol has three basic costs: energy, bandwidth, and implementation complexity. Coding, bandwidth, and their interaction lie at the heart of this book. The book is about efficient transmission via coding when the relative bandwidth is narrow. Most modulators in use today are pulse modulators, meaning that they associate each symbol with a pulse. The chapter also discusses spectra of modulated signals and the error performance and optimum receivers. Not all modulations produce simple pulses and the need to reduce bandwidth can lead to rather complicated signals. It can be a subtle exercise to distinguish coding from modulation, especially when bandwidth plays a role.

  • Introduction to Modulators: Basic Concepts and Fundamentals

    This chapter is conceived as an introduction to CMOS Sigma-Delta (?>?>) analog-to-digital converters (ADCs). Their operation principle consists in combining oversampling, quantization error processing, and negative feedback for improving the effective resolution of a coarse quantizer. Before presenting practical topologies for the implementation of?>?> modulation, the large variety of the existing?>?> realizations is briefly classified according to the type of modulator architecture (single loops or cascades), the circuit techniques employed (discrete time (DT) or continuous-time (CT)), and the nature of the signals being converted (low pass (LP) or band pass (BP)). Starting from the case of DT, LP, single-bit?>?> modulators, the implications of these different alternatives are then presented in an incremental way.

  • Noise of Building Elements

    This chapter contains sections titled: * Resistors * Inductances * Capacitance * Semiconductors * Amplifiers * Mixers * Frequency Dividers * Frequency Multipliers

  • Noise and Frequency Stability

    This chapter contains sections titled: * White Noise * Colored Noises * Small and Band Limited Perturbations of Sinusoidal Signals * Statistical Approach * Power Spectra of Stochastic Processes

  • Spectrum Sensing: Basic Techniques

    This chapter contains sections titled:ChallengesEnergy Detection: No Prior Information about Deterministic or Stochastic SignalSpectrum Sensing Exploiting Second‐Order StatisticsStatistical Pattern Recognition: Exploiting Prior Information about Signal through Machine LearningFeature Template MatchingCyclostationary Detection



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