]> BibSonomy publications for /author/Mendel http://www.bibsonomy.org/burst/author/Mendel BibSonomy BuRST Feed for /author/Mendel 2008-07-27T02:37:39+02:00 A Compensation Method for Magnitude Response Mismatches in Two-channel Time-interleaved Analog-to-Digital Converters http://www.bibsonomy.org/bibtex/275579bf60fca1b185a8ca5cbad48e8b5/peteru peteru 2008-07-15T17:04:25+02:00 adc, compensation, converters, magnitude, mismatches, response, time-interleaved
A Compensation Method for Magnitude Response Mismatches in Two-channel Time-interleaved Analog-to-Digital Converters
S. Mendel and C. Vogel Electronics, Circuits and Systems, 2006. ICECS '06. 13th IEEE International Conference on 712--715 (2006)
to adc, compensation, converters, magnitude, mismatches, response, time-interleaved by peteru on 2008-07-15 17:04:25 ]]> Electronics, Circuits and Systems, 2006. ICECS '06. 13th IEEE International Conference onElectronics, Circuits and Systems, 2006. ICECS '06. 13th IEEE International Conference on712--715A Compensation Method for Magnitude Response Mismatches in Two-channel Time-interleaved Analog-to-Digital Converters2006adc, compensation, converters, magnitude, mismatches, response, time-interleaved 2008-07-15 17:04:25.0Analog-to-digital converters (ADCs) are critical components of signal processing systems and one of the bottlenecks of modern telecommunication systems. Time-interleaved ADCs (TI-ADCs), in which multiple ADCs are combined, are an effective way to achieve high sampling rates in order to comply with modern telecommunication standards. The drawback of such TI-ADCs are additional errors that are due to mismatches among the channels, which degrade the overall performance. Several qualified methods have been proposed to compensate offset, static gain, and timing (or linear-phase) mismatches. However, an effective method to compensate frequency-dependent magnitude response mismatches is still missing. In this paper we consider the compensation of frequency-dependent magnitude response mismatches for a two-channel time-interleaved sampling system. A single linear-phase finite impulse response (FIR) filter cascaded by a single time-varying multiplier provides the magnitude response compensation so that the performance of a TI-ADC is no longer limited by linear channel mismatches. On the Compensation of Magnitude Response Mismatches in M-channel Time-interleaved ADCs http://www.bibsonomy.org/bibtex/25da908629735336e6f406f88bea054e8/peteru peteru 2008-07-15T17:04:25+02:00 ad, adc, compensation, converter, correction, magnitude, mismatches, repsonse, time-interleaved
On the Compensation of Magnitude Response Mismatches in M-channel Time-interleaved ADCs
S. Mendel and C. Vogel Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on 3375--3378 (2007)
to ad, adc, compensation, converter, correction, magnitude, mismatches, repsonse, time-interleaved by peteru on 2008-07-15 17:04:25 ]]> Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium onCircuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on3375--3378On the Compensation of Magnitude Response Mismatches in M-channel Time-interleaved ADCs2007ad, adc, compensation, converter, correction, magnitude, mismatches, repsonse, time-interleaved 2008-07-15 17:04:25.0Parallel time-interleaved analog-to-digital converters (TI-ADCs) are an attractive architecture to realize low-power and high-speed data conversion. As a drawback of such converters, mismatches between the channels impair their performance, e.g., the spurious free dynamic range (SFDR). One characteristic that varies among all channels is the magnitude response. The authors proposed a method to compensate magnitude response mismatches in two-channel TI-ADCs. In this paper the authors extend this method to an arbitrary number of channels, discuss a possible implementation, and evaluate its performance. For an M-channel TI-ADC the compensation method requires (M-1) linear-phase FIR filters with relatively short tap sizes and (M-1) multipliers to modulate the filter output. Simulations confirm the effectiveness of the proposed method. A z-domain model and analysis of phase-domain all-digital phase-locked loops http://www.bibsonomy.org/bibtex/2acd16bc6f8a7e217af72733a19c28c0b/peteru peteru 2008-07-15T17:04:25+02:00 adpll, all-digital, analysis, loops, model, phase-locked, pll, z-domain
A z-domain model and analysis of phase-domain all-digital phase-locked loops
S. Mendel and C. Vogel Norchip, 2007 1--6 (2007)
to adpll, all-digital, analysis, loops, model, phase-locked, pll, z-domain by peteru on 2008-07-15 17:04:25 ]]> Norchip, 2007Norchip, 20071--6A z-domain model and analysis of phase-domain all-digital phase-locked loops2007adpll, all-digital, analysis, loops, model, phase-locked, pll, z-domain 2008-07-15 17:04:25.0In this paper a comprehensive z-domain model of all-digital phase-locked loops (ADPLLs) is derived. The model accounts for phase and frequency signals and thus reflects both, frequency and phase behavior. The system model is investigated in detail. Each component is described in form of its transfer function to obtain an overall input/output behavior for the frequency and the phase domain. Furthermore, the physical characteristics of the noise sources within the structure are studied and their effects on the phase noise of the PLL are determined. The system level model is independent of the actual implementation, however, the relation to an existing frequency synthesizer for wireless communications is discussed. Simulation results confirm the accurateness of the presented model with respect to the time and frequency behavior of the system. An Interval Approach to Fuzzistics for Interval Type-2 Fuzzy Sets. dblphttp://www.bibsonomy.org/bibtex/248b5d246a309fc75d182a913c0e42e7d/dblp dblp 2008-07-04T00:00:00+02:00 dblp
An Interval Approach to Fuzzistics for Interval Type-2 Fuzzy Sets.
Feilong Liu and Jerry M. Mendel FUZZ-IEEE 1-6 (2007)
to dblp by dblp on 2008-07-04 00:00:00 ]]> FUZZ-IEEEconf/fuzzIEEE/20071-6An Interval Approach to Fuzzistics for Interval Type-2 Fuzzy Sets.2007dblp 2008-07-04 00:00:00.0 A Vector Similarity Measure for Interval Type-2 Fuzzy Sets. dblphttp://www.bibsonomy.org/bibtex/27f1b8aece808b6fa1402f708c1687de5/dblp dblp 2008-07-04T00:00:00+02:00 dblp
A Vector Similarity Measure for Interval Type-2 Fuzzy Sets.
Dongrui Wu and Jerry M. Mendel FUZZ-IEEE 1-6 (2007)
to dblp by dblp on 2008-07-04 00:00:00 ]]> FUZZ-IEEEconf/fuzzIEEE/20071-6A Vector Similarity Measure for Interval Type-2 Fuzzy Sets.2007dblp 2008-07-04 00:00:00.0 Collisions for Round-Reduced LAKE. dblphttp://www.bibsonomy.org/bibtex/27933d6c0676b796c4fe350b0cc8db245/dblp dblp 2008-07-03T00:00:00+02:00 dblp
Collisions for Round-Reduced LAKE.
Florian Mendel and Martin Schläffer ACISP 267-281 (2008)
to dblp by dblp on 2008-07-03 00:00:00 ]]> ACISPconf/acisp/2008267-281Lecture Notes in Computer ScienceCollisions for Round-Reduced LAKE.51072008dblp 2008-07-03 00:00:00.0 Markov convexity and local rigidity of distorted metrics. dblphttp://www.bibsonomy.org/bibtex/2bf4fccdfe729c44c05c7d04f3173879e/dblp dblp 2008-06-15T00:00:00+02:00 dblp
Markov convexity and local rigidity of distorted metrics.
Manor Mendel and Assaf Naor Symposium on Computational Geometry 49-58 (2008)
to dblp by dblp on 2008-06-15 00:00:00 ]]> Symposium on Computational Geometryconf/compgeom/200849-58Markov convexity and local rigidity of distorted metrics.2008dblp 2008-06-15 00:00:00.0 A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets. dblphttp://www.bibsonomy.org/bibtex/2347a9109378915532e52d8e828bd88b8/dblp dblp 2008-04-25T00:00:00+02:00 dblp
A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets.
Dongrui Wu and Jerry M. Mendel Inf. Sci. 178 381-402 (2008)
to dblp by dblp on 2008-04-25 00:00:00 ]]> Inf. Sci.2381-402A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets.1782008dblp 2008-04-25 00:00:00.0 Uncertainty, fuzzy logic, and signal processing http://www.bibsonomy.org/bibtex/2a5463f64ba5f2b698edb6e1b67c77d0e/smicha smicha 2008-04-23T22:05:04+02:00 Uncertainty
Uncertainty, fuzzy logic, and signal processing
Jerry M. Mendel Signal Processing 80 913--933 (2000)
to Uncertainty by smicha on 2008-04-23 22:05:04 ]]> Signal ProcessingJun6913--933Uncertainty, fuzzy logic, and signal processing802000Uncertainty 2008-04-23 22:05:04.0 Cumulant-based subspace tracking http://www.bibsonomy.org/bibtex/265fc8b9fd77bd050c09450228d313f5b/smicha smicha 2008-04-23T22:05:04+02:00 Adaptive
Cumulant-based subspace tracking
Tsung-Hsien Liu and Jerry M. Mendel Signal Processing 76 237--252 (1999)
to Adaptive by smicha on 2008-04-23 22:05:04 ]]> Signal ProcessingAug3237--252Cumulant-based subspace tracking761999Adaptive 2008-04-23 22:05:04.0