000			06468nam a2201345 i 4500
001			6047599
003			IEEE
005			20191218152122.0
006			m o d
007			cr |n|||||||||
008			151221s2011 nju ob 001 eng d
020			_a9781118141151 _qebook
020			_z9780470770399 _qprint
020			_z1118141156 _qelectronic
024	7		_a10.1002/9781118141151 _2doi
035			_a(CaBNVSL)mat06047599
035			_a(IDAMS)0b00006481692a70
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
050		4	_aTK7872.F5 _bT39 2012eb
082	0	4	_a621.3815/324 _223
100	1		_aTaylor, Fred J., _d1940-
245	1	0	_aDigital filters : _bprinciples and applications with MATLAB / _cFred J. Taylor.
250			_a1st ed.
264		1	_aHoboken, New Jersey : _bWiley-IEEE Press, _c2012.
264		2	_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2011]
300			_a1 PDF (320 pages).
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aIEEE series on digital & mobile communication ; _v30
505	0		_aPREFACE ix -- CHAPTER 1 INTRODUCTION TO DIGITAL SIGNAL PROCESSING 1 -- CHAPTER 2 SAMPLING THEOREM 11 -- CHAPTER 3 ALIASING 21 -- CHAPTER 4 DATA CONVERSION AND QUANTIZATION 29 -- CHAPTER 5 THE Z-TRANSFORM 41 -- CHAPTER 6 FINITE IMPULSE RESPONSE FILTERS 53 -- CHAPTER 7 WINDOW DESIGN METHOD 71 -- CHAPTER 8 LMS DESIGN METHOD 83 -- CHAPTER 9 EQUIRIPPLE DESIGN METHOD 95 -- CHAPTER 10 FIR: SPECIAL CASES 113 -- CHAPTER 11 FIR IMPLEMENTATION 127 -- CHAPTER 12 CLASSIC FILTER DESIGN 151 -- CHAPTER 13 IIR DESIGN 167 -- CHAPTER 14 STATE VARIABLE FILTER MODELS 183 -- CHAPTER 15 DIGITAL FILTER ARCHITECTURE 197 -- CHAPTER 16 FIXED-POINT EFFECTS 215 -- CHAPTER 17 IIR ARCHITECTURE ANALYSIS 231 -- CHAPTER 18 INTRODUCTION TO MULTIRATE SYSTEMS 249 -- CHAPTER 19 MULTIRATE FILTERS 263 -- BIBLIOGRAPHY 279 -- APPENDIX 281 -- GLOSSARY 287 -- INDEX 295
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aSolution implementations for digital filter design and analysis using MATLABA professional engineer charged with designing digital filters for sophisticated electronic devices needs more than design theory to get the job done. It is also essential to have practical guidance in how to characterize a digital filter, choose among a vast number of filter design options available in MATLAB and other software, make proper design choices, and enhance a computer-generated design into the optimal filter for a target application. In addition, it is important to develop skills that make it possible to take full advantage of MATLAB's implementation support.Digital Filters delivers both the theoretical and practical knowledge needed to design, implement, and analyze digital filters using MATLAB. It covers:. Sampling, data acquisition, data conversion and quantization, and transforms. Finite impulse response (FIR) filter attributes, types, special cases, and implementation. Infinite impulse response (IIR) filter attributes, types, special cases, and implementation. State variables as an IIR architectural description language. Multi-rate digital filter systems properties and case studiesEach topic in Digital Filters is supported with numerous examples, many involving the use of MATLAB. The MATLAB scripts used to generate these examples and graphics are available from an accompanying website. These scripts can be easily copied and pasted into MATLAB's Command Window and re-parameterized to reflect specific digital filter applications and needs.
530			_aAlso available in print.
538			_aMode of access: World Wide Web
588			_aDescription based on PDF viewed 12/21/2015.
630	0	0	_aMATLAB.
650		0	_aElectric filters, Digital.
650		0	_aSignal processing _xDigital techniques _xMathematics.
655		0	_aElectronic books.
695			_aAdders
695			_aAnalytical models
695			_aApproximation algorithms
695			_aBand pass filters
695			_aBandwidth
695			_aBaseband
695			_aBibliographies
695			_aChebyshev approximation
695			_aComputational efficiency
695			_aComputational modeling
695			_aComputer architecture
695			_aData conversion
695			_aDelay
695			_aDesign methodology
695			_aDigital filters
695			_aDigital signal processing
695			_aDiscrete Fourier transforms
695			_aDynamic range
695			_aElectrocardiography
695			_aEquations
695			_aFacsimile
695			_aFilter banks
695			_aFiltering theory
695			_aFinite impulse response filter
695			_aFrequency domain analysis
695			_aFrequency measurement
695			_aFrequency modulation
695			_aFrequency response
695			_aHarmonic analysis
695			_aHumans
695			_aIEEE Press
695			_aIIR filters
695			_aImage reconstruction
695			_aIndexes
695			_aInterpolation
695			_aL-band
695			_aLaplace equations
695			_aLattices
695			_aLeast squares approximation
695			_aLow pass filters
695			_aMATLAB
695			_aMathematical model
695			_aMirrors
695			_aMobile communication
695			_aNoise
695			_aOptical filters
695			_aPassband
695			_aPiecewise linear approximation
695			_aPrototypes
695			_aQuantization
695			_aRabbits
695			_aRandom processes
695			_aRegisters
695			_aSensitivity
695			_aShift registers
695			_aSignal resolution
695			_aSpinning
695			_aTaxonomy
695			_aTechnological innovation
695			_aTime domain analysis
695			_aTime frequency analysis
695			_aTime series analysis
695			_aTrajectory
695			_aTransfer functions
695			_aTransforms
695			_aTransient response
695			_aWarranties
695			_aWheels
695			_aWireless communication
710	2		_aIEEE Xplore (Online Service), _edistributor.
710	2		_aJohn Wiley & Sons, _epublisher.
776	0	8	_iPrint version: _z9780470770399
830		0	_aIEEE series on digital & mobile communication ; _v30
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6047599
999			_c42365 _d42365