Conferences related to Multi-stage noise shaping

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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 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 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Symposium on Circuits and Systems (ISCAS)

The International Symposium on Circuits and Systems (ISCAS) is the flagship conference of the IEEE Circuits and Systems (CAS) Society and the world’s premier networking and exchange forum for researchers in the highly active fields of theory, design and implementation of circuits and systems. ISCAS2020 focuses on the deployment of CASS knowledge towards Society Grand Challenges and highlights the strong foundation in methodology and the integration of multidisciplinary approaches which are the distinctive features of CAS contributions. The worldwide CAS community is exploiting such CASS knowledge to change the way in which devices and circuits are understood, optimized, and leveraged in a variety of systems and applications.


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Periodicals related to Multi-stage noise shaping

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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.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


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Most published Xplore authors for Multi-stage noise shaping

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Xplore Articles related to Multi-stage noise shaping

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Design and implementation of AAC decoders

2000 Digest of Technical Papers. International Conference on Consumer Electronics. Nineteenth in the Series (Cat. No.00CH37102), 2000

The MPEG-2 AAC (advanced audio coder) is a high-quality perceptual audio coder with flexible configurations enabling its use in many applications where high audio quality and limited transmission channel bandwidth are required. This paper provides a technology overview and describes the design and implementation of AAC decoders.


Modulation noise in thin-film metallic media: elements of pulse/transition modulation theory

IEEE Transactions on Magnetics, 2000

This paper is a mathematical preliminary to a pulse/transition modulation theory in magnetic recording. Equations are given for single-tone pulse modulations of different types (pulse position, width, shape). The theory is applied to noise generation in thin-film metallic media. As longitudinal bit size becomes comparable to the grain size, medium noise manifests itself as significant errors in the traditional mapping ...


A complex nonlinear exponential autoregressive model approach to shape recognition using neural networks

IEEE Transactions on Instrumentation and Measurement, 2000

A complex nonlinear exponential autoregressive (CNEAR) process which models the boundary coordinate sequence for invariant feature extraction to recognize arbitrary shapes on a plane is presented. A neural network structure is constructed to calculate all the CNEAR coefficients synchronically. The network is simple in structure and easy to implement. The nonlinear parameter is easy to determine using the network. The ...


A bitstream D/A Converter For Top Grade Digital Audio

1991 IEEE International Conference on Consumer Electronics, 1991

A high-performance integrated bitstream D/A converter for top-grade digital audio equipment is presented. CrosstaIk and non-linearity are minimized by a fully differential 1-bit DAC fabricated in a BIMOS process, It features low- distortion (-105 dB) and a wide dynamic range (109 dB).


Sigma-delta ADC with reduced sample rate multibit quantizer

IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1999

Based on the well-known Leslie-Singh architecture, a new cascaded sigma-delta analog-to-digital conversion (ADC) architecture is proposed. It incorporates a multibit quantizer whose sample rate can be significantly lower than the full oversampling speed of the sigma-delta modulator. Simulation results and comparison with other architectures are given. The architecture can be a good choice to extend the use of sigma-delta ADC ...


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Educational Resources on Multi-stage noise shaping

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IEEE.tv Videos

Design Considerations for Wideband Envelope Tracking Power Amplifiers
Noise-Shaped Active SAR Analog-to-Digital Converter - IEEE Circuits and Systems Society (CAS) Distinguished Lecture
IMS 2014: A 600 GHz Low-Noise Amplifier Module
Lloyd Watts: Reverse-Engineering the Human Auditory Pathway -WCCI 2012 Plenary talk
IMS 2011 Microapps - A Comparison of Noise Parameter Measurement Techniques
Noise Enhanced Information Systems: Denoising Noisy Signals with Noise
Dorabot: Products & Solutions Promo Trailer
IMS 2011 Microapps - Ultra Low Phase Noise Measurement Technique Using Innovative Optical Delay Lines
A 30-MHz-to-3-GHz CMOS Array Receiver with Frequency and Spatial Interference Filtering for Adaptive Antenna Systems: RFIC Industry Showcase
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 7 of 7 - SQUID-based noise thermometers for sub-Kelvin thermometry
MicroApps: Phase Noise, Allan Variance, and Frequency Reference (Agilent Technologies)
Tech News on IEEE.tv June 2012 Edition
IMS 2012 Microapps - Phase Noise Choices in Signal Generation: Understanding Needs and Tradeoffs Riadh Said, Agilent
IMS 2012 Special Sessions: The Evolution of Some Key Active and Passive Microwave Components - E. C. Niehenke
Standards and the Internet: Exploring Open Standards, Part 1
Gallium Nitride (GaN) takes Center Stage: IR, Infineon
An Introduction to Computational Intelligence in Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff
IMS 2011 Microapps - IQ Mixer Measurements: Techniques for Complete Characterization of IQ Mixers Using a Multi-Port Vector Network Analyzer
An Analysis of Phase Noise Requirements for Ultra-Low-Power FSK Radios: RFIC Interactive Forum 2017
A Transformer-Based Inverted Complementary Cross-Coupled VCO with a 193.3dBc/Hz FoM and 13kHz 1/f3 Noise Corner: RFIC Interactive Forum

IEEE-USA E-Books

  • Design and implementation of AAC decoders

    The MPEG-2 AAC (advanced audio coder) is a high-quality perceptual audio coder with flexible configurations enabling its use in many applications where high audio quality and limited transmission channel bandwidth are required. This paper provides a technology overview and describes the design and implementation of AAC decoders.

  • Modulation noise in thin-film metallic media: elements of pulse/transition modulation theory

    This paper is a mathematical preliminary to a pulse/transition modulation theory in magnetic recording. Equations are given for single-tone pulse modulations of different types (pulse position, width, shape). The theory is applied to noise generation in thin-film metallic media. As longitudinal bit size becomes comparable to the grain size, medium noise manifests itself as significant errors in the traditional mapping of write current to media magnetization. Thus, noise has a character of random multidimensional modulation of pulse parameters of the magnetization derivative. Transition jitter in recording is followed by the transformation of double-sideband recording modulation into single-sideband readback modulation, because of the bandwidth limitation in the readback transducer. Readback output becomes modulated 50% in pulse amplitude and 50% in pulse position. The fluctuation of transition length in recording causes pulse shape modulation. This amounts to simultaneous pulse-width and pulse-amplitude modulations acting against each other, so that virtually no modulation sidebands are generated. The compensation process is hidden in the recording cycle and is not visible in the frequency domain of the readback signal. Therefore, the traditional technique of media noise measurement with a spectrum analyzer is flawed, because the analyzer is blind to pulse shape modulation, which is the dominant source of sampling errors in practical channels.

  • A complex nonlinear exponential autoregressive model approach to shape recognition using neural networks

    A complex nonlinear exponential autoregressive (CNEAR) process which models the boundary coordinate sequence for invariant feature extraction to recognize arbitrary shapes on a plane is presented. A neural network structure is constructed to calculate all the CNEAR coefficients synchronically. The network is simple in structure and easy to implement. The nonlinear parameter is easy to determine using the network. The coefficients are adopted to constitute the feature set. They are proven to be invariant to the transformation of a boundary such as translation, rotation, scale, and choice of the starting point in tracing the boundary. Afterwards, the feature set is used as the input to a complex multilayer perceptron (C-MLP) network for learning and classification. Experimental results show that complicated shapes can be recognized with high accuracy, even in the low-order models. It is also seen that the CNEAR model performs better than the complex autoregressive (CAR) model when shapes have random noise on the boundaries or have differentiating features at detailed levels. Finally, an extended training scheme is developed in which the network is gradually retrained sequentially with shapes containing small increments of noise to improve the robustness of the C-MLP classifier.

  • A bitstream D/A Converter For Top Grade Digital Audio

    A high-performance integrated bitstream D/A converter for top-grade digital audio equipment is presented. CrosstaIk and non-linearity are minimized by a fully differential 1-bit DAC fabricated in a BIMOS process, It features low- distortion (-105 dB) and a wide dynamic range (109 dB).

  • Sigma-delta ADC with reduced sample rate multibit quantizer

    Based on the well-known Leslie-Singh architecture, a new cascaded sigma-delta analog-to-digital conversion (ADC) architecture is proposed. It incorporates a multibit quantizer whose sample rate can be significantly lower than the full oversampling speed of the sigma-delta modulator. Simulation results and comparison with other architectures are given. The architecture can be a good choice to extend the use of sigma-delta ADC to high bandwidth applications.

  • Low delta-I noise CMOS circuits based on differential logic and current limiters

    Switching noise is becoming an important constraint in mixed signal design. In this paper we present an approach to implement combinational circuits that generate low levels of delta-I noise by obtaining a trapezoidal current waveform shape. We use a differential logic (ECDL) together with current limiters to implement a 4/spl times/4 multiplier. We present the results of the simulation of this multiplier and the comparison with the static complementary-metal-oxide semiconductor (CMOS) implementation.

  • A Bitstrearn Digital-to-analog Converter With 18b Resolution

    None

  • A 16b oversampling A/D conversion technology using triple integration noise shaping

    This report will cover a 20kHz bandwidth oversampled analog - to - digital converter with a digital filter. Triple integration noise shaping based on multistage delta sigma quantizers sampled at 2.5MHz has been achieved. The device has been implemented in 2μ CMOS with a 5.4×9.0mm die.

  • New techniques for multi-prototype waveform coding at 2.84 kb/s

    The paper describes new techniques for prototype waveform (PW) coding at coding rates as low as 2.84 kb/s. The algorithm produces good communications quality speech with significant improvements over previously reported PW coding schemes. In multi-prototype waveform (MPW) coding, prototypes are extracted at 2.5 ms intervals. No distinction is necessary between voiced and unvoiced speech since the normalised LP residual prototypes are coded as a combination of a noise vector and smoothly evolving pitch pulse. At low bit rates it is unnecessary to explicitly code the underlying pulse shape-the relative magnitude of the rapidly evolving noise vectors is sufficient to describe the level of periodicity in each prototype. Prototypes are quantised using either an open or closed-loop scheme with similar results. Quantised prototypes are interpolated by continuous phase interpolation of Fourier coefficients in the discrete frequency domain.

  • Novel noise shaping of cascaded sigma-delta modulator for wide bandwidth applications

    In this paper, a novel noise shaping of cascaded sigma-delta modulators is proposed. Two stages are incorporated in this sigma-delta modulator. The first stage is realized by a feedforward architecture and the second stage is realized by a low-order single-loop architecture. Unlike the conventional feedforward sigma-delta architecture, we use a 1.5-bit quantizer in the feedback to substitute for the multi-bit DAC to make implementation very easy. However, it is necessary to add error cancellation schemes in the digital part to cancel the coarse quantization errors. By these arrangements, the architecture can reduce the oversampling ratio effectively and the in-band noise can be suppressed significantly to achieve high resolution. Simulation shows this sigma-delta modulator can achieve very good efficiency in wide bandwidth applications.



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