signal conditioning circuit design pdf

Tài liệu PRINCIPLES OF ASYNCHRONOUS CIRCUIT DESIGN – A Systems Perspective pdf

Tài liệu PRINCIPLES OF ASYNCHRONOUS CIRCUIT DESIGN – A Systems Perspective pdf

Ngày tải lên : 09/12/2013, 21:15
... asynchronous circuits? Most digital circuits designed and fabricated today are “synchronous”. In essence, they are based on two fundamental assumptions that greatly simplify their design: (1) all signals ... clock signal distributed throughout the circuit. Asynchronous circuits are fundamentally different; they also assume bi- nary signals, but there is no common and discrete time. Instead the circuits use ... DQIF, through physical design and characterisation of the core blocks Low-power RF design techniques in standard CMOS digital processes RF design tools and framework; PAPRICA Design Kit Demonstration...
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Fundamentals of RF Circuit Design With Low Noise Oscillators

Fundamentals of RF Circuit Design With Low Noise Oscillators

Ngày tải lên : 08/04/2013, 10:50
... amplifier design and includes Load Pull measurement and design techniques and a more analytic design example of a broadband, efficient amplifier operating from 130 to 180 MHz. The design example ... of the basic building blocks used in RF circuit design both at the component and intermediate block level. At block level this includes low noise small signal amplifiers, both narrowband and broadband, ... Attenuators (Pads) 92 2.9 Questions 93 2.10 Bibliography 96 3 Small Signal Amplifier Design and Measurement 97 3.1 Introduction 97 3.2 Amplifier Design Using Admittance Parameters 98 3.2.1 Stability 99 3.2.2...
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Allen and Holberg - CMOS Analog Circuit Design

Allen and Holberg - CMOS Analog Circuit Design

Ngày tải lên : 18/10/2013, 12:15
... E 2 max Allen and Holberg - CMOS Analog Circuit Design Page II.0-3 OBJECTIVE • Provide an understanding of CMOS technology sufficient to enhance circuit design. • Characterize passive components ... Holberg - CMOS Analog Circuit Design II.5-6 IMPROVED LAYOUT METHODS FOR CAPACITORS Corner clipping: Clip corners Street-effect compensation: Allen and Holberg - CMOS Analog Circuit Design Page II.1-6 Etching Etching ... (enhancement) Allen and Holberg - CMOS Analog Circuit Design Page I.2-1 I.1 - INTRODUCTION GLOBAL OBJECTIVES • Teach the analysis, modeling, simulation, and design of analog circuits implemented in CMOS technology. •...
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Tài liệu Adaptive Live Signal and Image Processing pdf

Tài liệu Adaptive Live Signal and Image Processing pdf

Ngày tải lên : 10/12/2013, 14:15
... sensor signals and (c) reconstructed source signals. 297 7.9 Blind separation of speech signals using the algorithm (7.80): (a) Primary source signals, (b) sensor signals, (c) recovered source signals. ... 298 7.10 (a) Eight ECG signals are separated into: Four maternal signals, two fetal signals and two noise signals. (b) Detailed plots of extracted fetal ECG signals. The mixed signals were obtained ... filtered) versions of the source signals from the received signals by using an approximate knowledge of the source signal distributions and statistics. Typically, every source signal s i (k) is an i.i.d....
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Tài liệu Circuit design with VHDL ppt

Tài liệu Circuit design with VHDL ppt

Ngày tải lên : 12/12/2013, 11:16
... 0) OF STD_LOGIC; 2D array SIGNAL x: row; SIGNAL y: array1; SIGNAL v: array2; SIGNAL w: array3; 32 Chapter 3 TLFeBOOK TLFeBOOK x<='1'; x is a single-bit signal (as specified above), ... 23 TLFeBOOK ENTITY entity_name IS PORT ( port_name : signal_ mode signal_ type; port_name : signal_ mode signal_ type; ); END entity_name; The mode of the signal can be IN, OUT, INOUT, or BUFFER. As illustrated ... ‘1’). Examples: SIGNAL x: BIT; x is declared as a one-digit signal of type BIT. SIGNAL y: BIT_VECTOR (3 DOWNTO 0); y is a 4-bit vector, with the leftmost bit being the MSB. SIGNAL w: BIT_VECTOR...
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Tài liệu Digital Signal Processing Handbook P70 pdf

Tài liệu Digital Signal Processing Handbook P70 pdf

Ngày tải lên : 13/12/2013, 00:15
... Rao, C.R., Effects of estimated noise covariance matrix in optimal signal detection, IEEE Trans. on Acoustics, Speech, and Signal Processing, ASSP-35(5), 671–679, May 1987. [21] Cai, L.andWang, ... algorithm, Proc. Signal and Data Processing of Small Targets, SPIE Proc. Series, Vol. 1305, Paper 16, 180–192, Orlando, FL, April 16-18, 1990. [27] Wang, H. and Cai, L., On adaptive multiband signal detection ... noticeable for the following features. 1. There is no so-called signal cancellation, as the unwindowed/untapered DFT provides no desired signal components in the adjacent bins (i.e., reference “channel”)...
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Tài liệu Digital Signal Processing Handbook P68 pdf

Tài liệu Digital Signal Processing Handbook P68 pdf

Ngày tải lên : 13/12/2013, 00:15
... greater than the number of signals, Q, the signal x(t) in the absence of noise is confined to a subspace, referred to as the signal subspace. We first estimate this signal subspace from the received ... sector beam. The received signal at a base station will therefore be a sum of the desired signal and co-channel interference. 68.2.6 Signal- Plus-Interference Model The overall signal- plus-interference-and-noise ... Two decades of array signal processing research: the parametric approach, IEEE Signal Processing Magazine, 13(4), 67–94, July 1996. [24] Lee, W.C., Mobile Communications – Design Fundamentals, Howard...
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Tài liệu Digital Signal Processing Handbook P66 pdf

Tài liệu Digital Signal Processing Handbook P66 pdf

Ngày tải lên : 13/12/2013, 00:15
... extending this concept to the signal subspace [8]. By sphericalizing and deflating both the signal and the noise subspaces, the cost of tracking the r dimensional signal (or noise) subspace is ... approachthat uses RLS techniques to update the signal subspace. The projection approximation subspace tracker (PAST) algorithm computes an arbitrary basis for the signal subspace in 3nr + O(r 2 ) flops ... [16]No Gradient-based EVD updates with gram schmidt orthog. [44, 45]Yes a Signal averaged 2-level (SA2 ) update b [8]Yes Signal averaged 4-level (SA4) update b [9, 11]Yes a O(nr) Projection approximation...
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Tài liệu Digital Signal Processing Handbook P23 pdf

Tài liệu Digital Signal Processing Handbook P23 pdf

Ngày tải lên : 13/12/2013, 00:15
... of three compo- nents: the signal y m (n) that is modeled by the adaptive filter, the signal y u (n) that is unmodeled but that depends on the input signal, and the signal v(n) that is independent ... presented in Fig. 23.1. Available to the adaptive filterare two external signals: the input signal x(n) and the desired output signal d(n). The adaptive filtering problem is to adjust the parameters ... implemen- tations, the signals of the unknown system corresponding to internal states of the adaptive filter are available through the delayed outputs d(n − i), and it is these signals that are used...
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Tài liệu Digital Signal Processing Handbook P20 pdf

Tài liệu Digital Signal Processing Handbook P20 pdf

Ngày tải lên : 13/12/2013, 00:15
... the map T i from the signals {˜w i−1 , √ ¯µ(i)r(i)} to the signals {˜w i , √ ¯µ(i)e a (i)} is lossless. Moreover, the map from the original disturbance √ ¯µ(·)v(·) to the signal √ ¯µ(·)e a (·) ... critical to the proposed application. Moreover, tech- nological advancements in digital circuit and VLSI design have spurred an increase in the range of new adaptive filtering applications in fields ... an arbitrary mapping F in its feedback path. The input/output signals of interest are denoted by{x, y, r, v,e}. In this system, the signals x,v play the role of the disturbances. FIGURE 20.5: A...
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Tài liệu Digital Signal Processing Handbook P19 pdf

Tài liệu Digital Signal Processing Handbook P19 pdf

Ngày tải lên : 13/12/2013, 00:15
... means of the signals or the correlation between two signals at different time instants. An analytical description of the adaptive filter’s behavior is then developed that is based on these signal properties. ... a speech signal. The variance of a speech signal varies widely from phoneme (vowel) to fricative (consonant) utterances, and this burst-like behavior is uncharacteristic of Gaussian signals. ... (19.2) whereW(n)=[w 0 (n)w 1 (n)···w L−1 (n)] T isthecoefficientvector,X(n)=[x(n)x(n− 1)···x(n−L+1)] T istheinputsignalvector,d(n)isthedesiredsignal,e(n)istheerrorsignal, andµ(n)isthestepsize. TherearethreemainreasonswhytheLMSadaptivefilterissopopular.First,itisrelativelyeasyto implementinsoftwareandhardwareduetoitscomputationalsimplicityandefficientuseofmemory. Second,itperformsrobustlyinthepresenceofnumericalerrorscausedbyfinite-precisionarithmetic. Third,itsbehaviorhasbeenanalyticallycharacterizedtothepointwhereausercaneasilysetupthe systemtoobtainadequateperformancewithonlylimitedknowledgeabouttheinputanddesired responsesignals. c  1999byCRCPressLLC [22]...
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