Download or read book Blind Calibration for Time interleaved Analog to digital Converters written by Yuhui Huang and published by . This book was released on 2006 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Time interleaved Analog to Digital Converters written by Simon Louwsma and published by Springer Science & Business Media. This book was released on 2010-09-08 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Time-interleaved Analog-to-Digital Converters describes the research performed on low-power time-interleaved ADCs. A detailed theoretical analysis is made of the time-interleaved Track & Hold, since it must be capable of handling signals in the GHz range with little distortion, and minimal power consumption. Timing calibration is not attractive, therefore design techniques are presented which do not require timing calibration. The design of power efficient sub-ADCs is addressed with a theoretical analysis of a successive approximation converter and a pipeline converter. It turns out that the first can consume about 10 times less power than the latter, and this conclusion is supported by literature. Time-interleaved Analog-to-Digital Converters describes the design of a high performance time-interleaved ADC, with much attention for practical design aspects, aiming at both industry and research. Measurements show best-inclass performance with a sample-rate of 1.8 GS/s, 7.9 ENOBs and a power efficiency of 1 pJ/conversion-step.

Download or read book Background Calibration of Time Interleaved Data Converters written by Manar El-Chammas and published by Springer Science & Business Media. This book was released on 2011-12-17 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes techniques for time-interleaving a number of analog-to-digital data converters to achieve demanding bandwidth requirements. Readers will benefit from the presentation of a low-power solution that can be used in actual products, while alleviating the time-varying signal artifacts that typically arise when implementing such a system architecture.

Download or read book Signal Reconstruction Algorithms for Time Interleaved ADCs written by Anu Kalidas Muralidharan Pillai and published by Linköping University Electronic Press. This book was released on 2015-05-22 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: An analog-to-digital converter (ADC) is a key component in many electronic systems. It is used to convert analog signals to the equivalent digital form. The conversion involves sampling which is the process of converting a continuous-time signal to a sequence of discrete-time samples, and quantization in which each sampled value is represented using a finite number of bits. The sampling rate and the effective resolution (number of bits) are two key ADC performance metrics. Today, ADCs form a major bottleneck in many applications like communication systems since it is difficult to simultaneously achieve high sampling rate and high resolution. Among the various ADC architectures, the time-interleaved analog-to-digital converter (TI-ADC) has emerged as a popular choice for achieving very high sampling rates and resolutions. At the principle level, by interleaving the outputs of M identical channel ADCs, a TI-ADC could achieve the same resolution as that of a channel ADC but with M times higher bandwidth. However, in practice, mismatches between the channel ADCs result in a nonuniformly sampled signal at the output of a TI-ADC which reduces the achievable resolution. Often, in TIADC implementations, digital reconstructors are used to recover the uniform-grid samples from the nonuniformly sampled signal at the output of the TI-ADC. Since such reconstructors operate at the TI-ADC output rate, reducing the number of computations required per corrected output sample helps to reduce the power consumed by the TI-ADC. Also, as the mismatch parameters change occasionally, the reconstructor should support online reconfiguration with minimal or no redesign. Further, it is advantageous to have reconstruction schemes that require fewer coefficient updates during reconfiguration. In this thesis, we focus on reducing the design and implementation complexities of nonrecursive finite-length impulse response (FIR) reconstructors. We propose efficient reconstruction schemes for three classes of nonuniformly sampled signals that can occur at the output of TI-ADCs. Firstly, we consider a class of nonuniformly sampled signals that occur as a result of static timing mismatch errors or due to channel mismatches in TI-ADCs. For this type of nonuniformly sampled signals, we propose three reconstructors which utilize a two-rate approach to derive the corresponding single-rate structure. The two-rate based reconstructors move part of the complexity to a symmetric filter and also simplifies the reconstruction problem. The complexity reduction stems from the fact that half of the impulse response coefficients of the symmetric filter are equal to zero and that, compared to the original reconstruction problem, the simplified problem requires only a simpler reconstructor. Next, we consider the class of nonuniformly sampled signals that occur when a TI-ADC is used for sub-Nyquist cyclic nonuniform sampling (CNUS) of sparse multi-band signals. Sub-Nyquist sampling utilizes the sparsities in the analog signal to sample the signal at a lower rate. However, the reduced sampling rate comes at the cost of additional digital signal processing that is needed to reconstruct the uniform-grid sequence from the sub-Nyquist sampled sequence obtained via CNUS. The existing reconstruction scheme is computationally intensive and time consuming and offsets the gains obtained from the reduced sampling rate. Also, in applications where the band locations of the sparse multi-band signal can change from time to time, the reconstructor should support online reconfigurability. Here, we propose a reconstruction scheme that reduces the computational complexity of the reconstructor and at the same time, simplifies the online reconfigurability of the reconstructor. Finally, we consider a class of nonuniformly sampled signals which occur at the output of TI-ADCs that use some of the input sampling instants for sampling a known calibration signal. The samples corresponding to the calibration signal are used for estimating the channel mismatch parameters. In such TI-ADCs, nonuniform sampling is due to the mismatches between the channel ADCs and due to the missing input samples corresponding to the sampling instants reserved for the calibration signal. We propose three reconstruction schemes for such nonuniformly sampled signals and show using design examples that, compared to a previous solution, the proposed schemes require substantially lower computational complexity.

Download or read book Nyquist AD Converters Sensor Interfaces and Robustness written by Arthur H.M. van Roermund and published by Springer Science & Business Media. This book was released on 2012-11-26 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is based on the 18 presentations during the 21st workshop on Advances in Analog Circuit Design. Expert designers provide readers with information about a variety of topics at the frontier of analog circuit design, including Nyquist analog-to-digital converters, capacitive sensor interfaces, reliability, variability, and connectivity. This book serves as a valuable reference to the state-of-the-art, for anyone involved in analog circuit research and development.

Download or read book Limitations and Optimization of a Blind Calibration Algorithm for Nonlinearity in Analog to Digital Converters written by Brandilyn Coker and published by . This book was released on 2015 with total page 39 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analog to digital converters (ADCs) are a critical part of communication between the physical world and the increasingly digital systems humans use every day. ADCs have inherent non-idealities that degrade performance. Nonlinearity is one of the most prevalent non-idealities that designers face. While calibration methods for nonlinearity exist in the analog domain, digital calibration is preferred since it typically takes less resources (chip area, power consumption) and can be implemented off chip if need be. A blind digital calibration algorithm for nonlinearity correction in ADCs was developed at Oregon State University that continuously corrects harmonic distortion using the concepts of downsampling and orthogonality of sinusoidal signals. It can calibrate for multiple harmonics simultaneously with no need for an external test signal. This work explores the blind calibration algorithm in order to determine some of the limitations inherent to both the theoretical design and with respect to a practical implementation in hardware. Based upon these limitations, various methods of algorithm optimization were characterized through discussion of design trade-offs and ways to improve performance.

Download or read book Digital Background Calibration of Time interleaved Analog to digital Converters written by Shafiq M. Jamal and published by . This book was released on 2001 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Digital Calibration of Double sampled Time interleaved Analog to digital Converters written by Chi Ho Law and published by . This book was released on 2009 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Timing Skew Calibration for Time Interleaved Analog to Digital Converters written by Luke Wang and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Generalized Low Voltage Circuit Techniques for Very High Speed Time Interleaved Analog to Digital Converters written by Sai-Weng Sin and published by Springer Science & Business Media. This book was released on 2010-09-29 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analog-to-Digital Converters (ADCs) play an important role in most modern signal processing and wireless communication systems where extensive signal manipulation is necessary to be performed by complicated digital signal processing (DSP) circuitry. This trend also creates the possibility of fabricating all functional blocks of a system in a single chip (System On Chip - SoC), with great reductions in cost, chip area and power consumption. However, this tendency places an increasing challenge, in terms of speed, resolution, power consumption, and noise performance, in the design of the front-end ADC which is usually the bottleneck of the whole system, especially under the unavoidable low supply-voltage imposed by technology scaling, as well as the requirement of battery operated portable devices. Generalized Low-Voltage Circuit Techniques for Very High-Speed Time-Interleaved Analog-to-Digital Converters will present new techniques tailored for low-voltage and high-speed Switched-Capacitor (SC) ADC with various design-specific considerations.

Download or read book Time interleaved Analog to digital Converters for Digital Communications written by Tsung-Heng Tsai and published by . This book was released on 2005 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Intelligence and Signal Analysis written by M. Tanveer and published by Springer. This book was released on 2018-08-07 with total page 767 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.

Download or read book Background Calibration of Timing Skew in Time interleaved A D Converters written by Manar Ibrahim El-Chammas and published by Stanford University. This book was released on 2010 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasing data rate of wireline communication systems leads to more inter-symbol interference, due to the dispersive properties of the communication channel. This requires more complex equalization blocks to meet the required bit-error rate. One solution is to use an Analog-to-Digital Converter (ADC) in the front-end, thus enabling a digitally-equalized serial link. To achieve the high-data rates of these communication systems, a time-interleaved ADC is typically used. However, this type of ADC suffers from several time-varying errors, the most prominent of which is timing skew. This thesis introduces a statistics-based background calibration algorithm that compensates for the effect of timing skew. To demonstrate the background calibration algorithm, a proof-of-concept 5 bit 12 GS/s flash ADC has been fabricated in a 65 nm CMOS process. The design of this ADC takes into consideration the tight power bounds imposed on serial links by optimizing both the time-interleaved and the sub-ADC architecture. Power consumption is further reduced by using calibration circuits to correct the offset of the flash ADC's comparators. In the measured results, the timing skew correction improves the dynamic performance of the time-interleaved ADC by 12 dB, and the proof-of-concept ADC has the lowest published power consumption for ADCs with sample rates higher than 10 GS/s.

Download or read book Selected Papers from the 2018 41st International Conference on Telecommunications and Signal Processing TSP written by Norbert Herencsar and published by MDPI. This book was released on 2019-07-01 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Special Issue contains a series of excellent research works on telecommunications and signal processing, selected from the 2018 41st International Conference on Telecommunications and Signal Processing (TSP) which was held on July 4–6, 2018, in Athens, Greece. The conference was organized in cooperation with the IEEE Region 8 (Europe, Middle East, and Africa), IEEE Greece Section, IEEE Czechoslovakia Section, and IEEE Czechoslovakia Section SP/CAS/COM Joint Chapter by seventeen universities from the Czech Republic, Hungary, Turkey, Taiwan, Japan, Slovak Republic, Spain, Bulgaria, France, Slovenia, Croatia, and Poland, for academics, researchers, and developers, and serves as a premier international forum for the annual exchange and promotion of the latest advances in telecommunication technology and signal processing. The aim of the conference is to bring together both novice and experienced scientists, developers, and specialists, to meet new colleagues, collect new ideas, and establish new cooperation between research groups from universities, research centers, and private sectors worldwide. This collection of 10 papers is highly recommended for researchers, and believed to be interesting, inspiring, and motivating for readers in their further research.

Download or read book All Digital Background Calibration for Time Interleaved and Successive Approximation Register Analog to Digital Converters written by Christopher Leonidas David and published by . This book was released on 2010 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: The growth of digital systems underscores the need to convert analog information to the digital domain at high speeds and with great accuracy. Analog-to-Digital Converter (ADC) calibration is often a limiting factor, requiring longer calibration times to achieve higher accuracy. The goal of this dissertation is to perform a fully digital background calibration using an arbitrary input signal for A/D converters. The work presented here adapts the cyclic "Split-ADC" calibration method to the time interleaved (TI) and successive approximation register (SAR) architectures. The TI architecture has three types of linear mismatch errors: offset, gain and aperture time delay. By correcting all three mismatch errors in the digital domain, each converter is capable of operating at the fastest speed allowed by the process technology. The total number of correction parameters required for calibration is dependent on the interleaving ratio, M. To adapt the "Split-ADC" method to a TI system, 2M+1 half-sized converters are required to estimate 3(2M+1) correction parameters. This thesis presents a 4:1 "Split-TI" converter that achieves full convergence in less than 400,000 samples. The SAR architecture employs a binary weight capacitor array to convert analog inputs into digital output codes. Mismatch in the capacitor weights results in non-linear distortion error. By adding redundant bits and dividing the array into individual unit capacitors, the "Split-SAR" method can estimate the mismatch and correct the digital output code. The results from this work show a reduction in the non-linear distortion with the ability to converge in less than 750,000 samples.

Download or read book Trends in Digital Signal Processing written by Yong Ching Lim and published by CRC Press. This book was released on 2015-07-24 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital signal processing is ubiquitous. It is an essential ingredient in many of today's electronic devices, ranging from medical equipment to weapon systems. It makes the difference between dumb and intelligent systems. This book is organized into five parts: (1) Introduction, which contains an account of Prof. Constantinides' contribution to the

Download or read book Academic Press Library in Signal Processing written by Paulo S.R. Diniz and published by Academic Press. This book was released on 2013-09-21 with total page 1559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its application Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in machine learning Presents core principles in signal processing theory and shows their applications Reference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic