9,431 resources related to Noise robustness
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
ICC 2021 - IEEE International Conference on Communications
IEEE ICC is one of the two flagship IEEE conferences in the field of communications; Montreal is to host this conference in 2021. Each annual IEEE ICC conference typically attracts approximately 1,500-2,000 attendees, and will present over 1,000 research works over its duration. As well as being an opportunity to share pioneering research ideas and developments, the conference is also an excellent networking and publicity event, giving the opportunity for businesses and clients to link together, and presenting the scope for companies to publicize themselves and their products among the leaders of communications industries from all over the world.
The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.
The CDC is the premier 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, automatic control, and related areas.
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.
The IEEE Transactions on Advanced Packaging has its focus on the modeling, design, and analysis of advanced electronic, photonic, sensors, and MEMS packaging.
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
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; ...
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 ...
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
IEEE Power Engineering Review, 1991
IEEE Transactions on Information Theory, 2013
This paper investigates the theoretical guarantees of_l_1-analysis regularization when solving linear inverse problems. Most of previous works in the literature have mainly focused on the sparse synthesis prior where the sparsity is measured as the_l_1norm of the coefficients that synthesize the signal from a given dictionary. In contrast, the more general analysis regularization minimizes the_l_1norm of the correlations between the ...
1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996
Target motion analysis (TMA) for a rectilinear source movement (RSM) has been intensively studied in the last ten years. But difficulties still exist, especially when source heading or speed changes are within the same time as the conventional TMA convergence time. This paper is concerned with a new method of batch TMA for maneuvering sources using a non-linear least-squares fit ...
1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996
Motion estimation is a very important topic in computer vision and image sequence compression. However, most commonly used motion estimation algorithms do not take into consideration any motion invariances that a certain local motion might possess. In this paper, a technique for estimating the invariant motion parameters of non-translational motion fields is proposed, which leads to more efficient estimation, smoothing ...
2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006
This paper describes scheme for protection of watermarking channel and its capacity enhancement using state-of-the-art error correction technique - turbo coding. Duo-binary codes were used for protection since they are perform better then classical turbo coders in terms of better convergence for iterative decoding, a large minimum distance and also computational expensiveness. A spread spectrum watermarking technique is used to ...
IMS 2011 Microapps - A Comparison of Noise Parameter Measurement Techniques
Noise Enhanced Information Systems: Denoising Noisy Signals with Noise
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 7 of 7 - SQUID-based noise thermometers for sub-Kelvin thermometry
IMS 2011 Microapps - Ultra Low Phase Noise Measurement Technique Using Innovative Optical Delay Lines
The Path to Robust Machine Learning: IEEE TechEthics Keynote with Richard Mallah
MicroApps: Phase Noise, Allan Variance, and Frequency Reference (Agilent Technologies)
IMS 2012 Special Sessions: The Evolution of Some Key Active and Passive Microwave Components - E. C. Niehenke
IMS 2012 Microapps - Phase Noise Choices in Signal Generation: Understanding Needs and Tradeoffs Riadh Said, Agilent
Tracked Vehicle with Circular Cross-Section to Realize Sideways Motion
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
A Low Power High Performance PLL with Temperature Compensated VCO in 65nm CMOS: RFIC Interactive Forum
A 40GHz PLL with -92.5dBc/Hz In-Band Phase Noise and 104fs-RMS-Jitter: RFIC Interactive Forum 2017
Compact 75 GHz LNA with 20-dB Gain and 4-dB Noise Figure - Woorim Shin - RFIC Showcase 2018
IMS 2014: A 600 GHz Low-Noise Amplifier Module
Optical Stealth Communication based on Amplified Spontaneous Emission Noise - Ben Wu - IEEE Sarnoff Symposium, 2019
Impact of Linearity and Write Noise of Analog Resistive Memory: IEEE Rebooting Computing 2017
Noise-Shaped Active SAR Analog-to-Digital Converter - IEEE Circuits and Systems Society (CAS) Distinguished Lecture
Non-Volatile Memory Array Based Quantization - Wen Ma - ICRC San Mateo, 2019
This paper investigates the theoretical guarantees of_l_1-analysis regularization when solving linear inverse problems. Most of previous works in the literature have mainly focused on the sparse synthesis prior where the sparsity is measured as the_l_1norm of the coefficients that synthesize the signal from a given dictionary. In contrast, the more general analysis regularization minimizes the_l_1norm of the correlations between the signal and the atoms in the dictionary, where these correlations define the analysis support. The corresponding variational problem encompasses several well-known regularizations such as the discrete total variation and the fused Lasso. Our main contributions consist in deriving sufficient conditions that guarantee exact or partial analysis support recovery of the true signal in presence of noise. More precisely, we give a sufficient condition to ensure that a signal is the unique solution of the_l_1-analysis regularization in the noiseless case. The same condition also guarantees exact analysis support recovery and_l_2-robustness of the_l_1-analysis minimizer vis-à-vis an enough small noise in the measurements. This condition turns to be sharp for the robustness of the sign pattern. To show partial support recovery and_l_2-robustness to an arbitrary bounded noise, we introduce a stronger sufficient condition. When specialized to the_l_1-synthesis regularization, our results recover some corresponding recovery and robustness guarantees previously known in the literature. From this perspective, our work is a generalization of these results. We finally illustrate these theoretical findings on several examples to study the robustness of the 1-D total variation, shift-invariant Haar dictionary, and fused Lasso regularizations.
Target motion analysis (TMA) for a rectilinear source movement (RSM) has been intensively studied in the last ten years. But difficulties still exist, especially when source heading or speed changes are within the same time as the conventional TMA convergence time. This paper is concerned with a new method of batch TMA for maneuvering sources using a non-linear least-squares fit between the whole set of measurements and a BSpline trajectory representation. It provides a good way to globally estimate both the instants of maneuvers and their number with an experimentally robust model order selection method. This work includes tests on actual data from at-sea recordings.
Motion estimation is a very important topic in computer vision and image sequence compression. However, most commonly used motion estimation algorithms do not take into consideration any motion invariances that a certain local motion might possess. In this paper, a technique for estimating the invariant motion parameters of non-translational motion fields is proposed, which leads to more efficient estimation, smoothing or coding of the motion field. It is shown that the algorithm performs well, even in high noise levels, i.e., in the case of noisy output of the motion estimator.
This paper describes scheme for protection of watermarking channel and its capacity enhancement using state-of-the-art error correction technique - turbo coding. Duo-binary codes were used for protection since they are perform better then classical turbo coders in terms of better convergence for iterative decoding, a large minimum distance and also computational expensiveness. A spread spectrum watermarking technique is used to insert watermark. Proposed pseudo-random watermarking bits spreading, amplitude adjustment in DCT domain based on block classification and bit-rate preserving increased signal to noise ratio of the watermarking channel. However, it was essential to introduce an error correction technique in order to achieve high capacity and robustness. In addition, experimental results on robustness to transcoding are presented
The paper presents a principal component analysis (PCA) approach to the reduction of noise contaminating the data. The PCA performs the role of lossy compression and decompression. The compression/decompression provides the means of coding the data and then recovering it with some losses, dependent on the realized compression ratio. In this process some part of the information contained in the data is lost. When the loss tolerance is equal to the noise strength, the noise and the loss tolerance are augmented and the decompressed signal is deprived of noise. This way of noise filtering has been checked on examples of 1-dimensional and 2-dimensional data and the results of numerical experiments are included.
This paper is a new attempt to introduce a "parallel multi-cue" particle filter tracking method. It combines multiple features distribution and multiple thread programming method to facilitate 2D video tracking from a monocular view. The method's benefits lie in its speed, its robustness. Speed is improved by parallel operation of multiple thread which dispose different cues at one time; robustness is implemented by multiple cues. The proposed method is demonstrated on head tracking with a non-stationary camera in unconstrained environments. Result shows it is speedier and robust again background noise such as cluttered background, occlusion, color distracters and illumination change than conventional single thread PF and single thread PF with multi-cue.
This paper aims at the script identification problem of handwritten document images, which facilitates many important applications such as sorting, transcription of multilingual documents and indexing of large collection of such images, or as a precursor to optical character recognition (OCR). The script identification scheme proposed in this paper has two phases. First phase reports the script identification of text words using global and local features, extracted by morphological filters and regional descriptors of three major Indian languages/scripts: Kannada, Roman and Devnagari. In the second phase Kannada and Roman handwritten numerals script identification is carried out. For classification of text words and numerals, a K nearest neighbour algorithm is used. The proposed algorithm achieves an average maximum recognition accuracy is 96.05% and 99% respectively for text words and numerals with five fold cross validation test. The data set containing 3000 text words and 400 numerals collected from 250 writers. The novelty of the proposed algorithm is robust for noise, writer style, size and ink etc.
A technique for reducing ring oscillator supply voltage sensitivity using on- chip calibration is described. A 1V 0.13mum CMOS PLL demonstrates robust performance against VCO supply noise over operating frequencies of 500MHz- 2GHz. The measured rms jitter of the proposed PLL with on-chip calibration is 4.4ps for an operating frequency of 1.4GHz in the presence of 10mV 1MHz VCO supply noise, while a conventional VCO measures 19.4ps rms jitter. The total power consumption of the PLL is 9.4mW, and the core die area of the PLL with calibration circuitry is 0.064mm<sup>2</sup>
Conventional audio scrambling methods use one-dimensional linear congruence mapping in real time. The combination of encrypting parameters of those methods is too less which decreases the security, and the one-dimensional linear congruence mapping is easy to be attacked. To address these problems, a novel audio scrambling algorithm in variable dimension space is presented in this paper. The proposed method increases the dimension of sample points coordinates and uses arbitrary matrices to scramble audio, which increases the difficulty being attacked. Experiments show that the proposed algorithm is validity in audio scrambling and easy to implement. It is robust in enduring common attacks including noise addition, filtering, resample and so on. The proposed algorithm can be used in audio information hiding, preprocessing and post-processing of audio watermarking.
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