Discrete systems and digital signal processing with MATLAB:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton, FL u.a.
CRC Press
2004
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| Series: | Electrical engineering textbook series
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references and index. |
| Physical Description: | 667 S. Ill., graph. Darst. |
| ISBN: | 0849310938 |
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| 245 | 1 | 0 | |a Discrete systems and digital signal processing with MATLAB |c Taan S. Elali |
| 264 | 1 | |a Boca Raton, FL u.a. |b CRC Press |c 2004 | |
| 300 | |a 667 S. |b Ill., graph. Darst. | ||
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| 500 | |a Includes bibliographical references and index. | ||
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| 650 | 4 | |a MATLAB - Diskretes System - Digitale Signalverarbeitung | |
| 650 | 4 | |a Mathematik | |
| 650 | 4 | |a Signal processing |x Digital techniques |x Mathematics | |
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| adam_text | DISCRETE SYSTEMS AND DIGITAL SIGNAL PROCESSING WITH MATLAB TAAN S.
ELALI CRC PRESS BOCA RATON LONDON NEW YORK WASHINGTON, D.C. TABLE OF
CONTENTS 1 SIGNAL REPRESENTATION 1 1.1 INTRODUCTION 1 1.2 WHY DO WE
DISCRETIZE CONTINUOUS SYSTEMS? 2 1.3 PERIODIC AND NONPERIODIC DISCRETE
SIGNALS 3 1.4 THE UNIT STEP DISCRETE SIGNAL 4 1.5 THE IMPULSE DISCRETE
SIGNAL 6 1.6 THE RAMP DISCRETE SIGNAL 6 1.7 THE REAL EXPONENTIAL
DISCRETE SIGNAL 7 1.8 THE SINUSOIDAL DISCRETE SIGNAL 7 1.9 THE
EXPONENTIALLY MODULATED SINUSOIDAL SIGNAL 11 1.10 THE COMPLEX PERIODIC
DISCRETE SIGNAL 11 1.11 THE SHIFTING OPERATION 15 1.12 REPRESENTING A
DISCRETE SIGNAL USING IMPULSES 16 1.13 THE REFLECTION OPERATION 18 1.14
TIME SCALING 19 1.15 AMPLITUDE SCALING 20 1.16 EVEN AND ODD DISCRETE
SIGNAL 21 1.17 DOES A DISCRETE SIGNAL HAVE A TIME CONSTANT? 23 1.18
BASIC OPERATIONS ON DISCRETE SIGNALS 25 1.18.1 MODULATION 25 1.18.2
ADDITION AND SUBTRACTION 25 1.18.3 SCALAR MULTIPLICATION 25 1.18.4
COMBINED OPERATIONS 26 1.19 ENERGY AND POWER DISCRETE SIGNALS 28 1.20
BOUNDED AND UNBOUNDED DISCRETE SIGNALS 30 1.21 SOME INSIGHTS: SIGNALS IN
THE REAL WORLD 30 1.21.1 THE STEP SIGNAL 31 1.21.2 THE IMPULSE SIGNAL 31
1.21.3 THE SINUSOIDAL SIGNAL 31 1.21.4 THE RAMP SIGNAL 31 1.21.5 OTHER
SIGNALS 32 1.22 END OF CHAPTER EXAMPLES 32 1.23 END OF CHAPTER PROBLEMS
50 2 THE DISCRETE SYSTEM 55 2.1 DEFINITION OF A SYSTEM 55 2.2 INPUT AND
OUTPUT 55 2.3 LINEAR DISCRETE SYSTEMS 56 2.4 TIME INVARIANCE AND
DISCRETE SIGNALS 58 2.5 SYSTEMS WITH MEMORY 60 2.6 CAUSAL SYSTEMS 61 2.7
THE INVERSE OF A SYSTEM 62 2.8 STABLE SYSTEM 63 2.9 CONVOLUTION 64 2.10
DIFFERENCE EQUATIONS OF PHYSICAL SYSTEMS 68 2.11 THE HOMOGENEOUS
DIFFERENCE EQUATION AND ITS SOLUTION 69 2.11.1 CASE WHEN ROOTS ARE ALL
DISTINCT 71 2.11.2 CASE WHEN TWO ROOTS ARE REAL AND EQUAL 72 2.11.3 CASE
WHEN TWO ROOTS ARE COMPLEX 72 2.12 NONHOMOGENEOUS DIFFERENCE EQUATIONS
AND THEIR SOLUTIONS 73 2.12.1 HOW DO WE FIND THE PARTICULAR SOLUTION? 75
2.13 THE STABILITY OF LINEAR DISCRETE SYSTEMS: THE CHARACTERISTIC
EQUATION 75 2.13.1 STABILITY DEPENDING ON THE VALUES OF THE POLES 75
2.13.2 STABILITY FROM THE JURY TEST 76 2.14 BLOCK DIAGRAM REPRESENTATION
OF LINEAR DISCRETE SYSTEMS 78 2.14.1 THE DELAY ELEMENT 79 2.14.2 THE
SUMMING/SUBTRACTING JUNCTION 79 2.14.3 THE MULTIPLIER 79 2.15 FROM THE
BLOCK DIAGRAM TO THE DIFFERENCE EQUATION 81 2.16 FROM THE DIFFERENCE
EQUATION TO THE BLOCK DIAGRAM: A FORMAL PROCEDURE 82 2.17 THE IMPULSE
RESPONSE 85 2.18 CORRELATION 87 2.18.1 CROSS-CORRELATION 87 2.18.2
AUTO-CORRELATION 89 2.19 SOME INSIGHTS 90 2.19.1 HOW CAN WE FIND THESE
EIGENVALUES? 90 2.19.2 STABILITY AND EIGENVALUES 91 2.20 END OF CHAPTER
EXAMPLES 91 2.21 END OF CHAPTER PROBLEMS 134 3 THE FOURIER SERIES AND
THE FOURIER TRANSFORM OF DISCRETE SIGNALS 143 3.1 INTRODUCTION 143 3.2
REVIEW OF COMPLEX NUMBERS 143 3.2.1 DEFINITION 145 3.2.2 ADDITION 145
3.2.3 SUBTRACTION 145 3.2.4 MULTIPLICATION 145 3.2.5 DIVISION 146 3.2.6
FROM RECTANGULAR TO POLAR 146 3.2.7 FROM POLAR TO RECTANGULAR 146 THE
FOURIER SERIES OF DISCRETE PERIODIC SIGNALS 147 THE DISCRETE SYSTEM WITH
PERIODIC INPUTS: THE STEADY-STATE RESPONSE 150 3.4.1 THE GENERAL FORM
FOR YSS(N) 153 THE FREQUENCY RESPONSE OF DISCRETE SYSTEMS 154 3.5.1
PROPERTIES OF THE FREQUENCY RESPONSE 157 3.5.1.1 THE PERIODICITY
PROPERTY 157 3.5.1.2 THE SYMMETRY PROPERTY 157 THE FOURIER TRANSFORM OF
DISCRETE SIGNALS 159 CONVERGENCE CONDITIONS 161 PROPERTIES OF THE
FOURIER TRANSFORM OF DISCRETE SIGNALS 162 3.8.1 THE PERIODICITY PROPERTY
162 3.8.2 THE LINEARITY PROPERTY 162 3.8.3 THE DISCRETE-TIME SHIFTING
PROPERTY 163 3.8.4 THE FREQUENCY SHIFTING PROPERTY 163 3.8.5 THE
REFLECTION PROPERTY 163 3.8.6 THE CONVOLUTION PROPERTY 164 PARSEVAL S
RELATION AND ENERGY CALCULATIONS 167 NUMERICAL EVALUATION OF THE FOURIER
TRANSFORM OF DISCRETE SIGNALS 168 SOME INSIGHTS: WHY IS THIS FOURIER
TRANSFORM? 172 3.11.1 THE EASE IN ANALYSIS AND DESIGN 172 3.11.2
SINUSOIDAL ANALYSIS 173 END OF CHAPTER EXAMPLES 173 END OF CHAPTER
PROBLEMS 189 THE Z-TRANSFORM AND DISCRETE SYSTEMS 195 INTRODUCTION 195
THE BILATERAL Z-TRANSFORM 195 THE UNILATERAL Z-TRANSFORM 197 CONVERGENCE
CONSIDERATIONS 200 THE INVERSE Z-TRANSFORM 203 4.5.1 PARTIAL FRACTION
EXPANSION 203 4.5.2 LONG DIVISION 206 4.6 PROPERTIES OF THE Z-TRANSFORM
207 4.6.1 LINEARITY PROPERTY 207 4.6.2 SHIFTING PROPERTY 207 4.6.3
MULTIPLICATION BY E 209 4.6.4 CONVOLUTION 210 4.7 REPRESENTATION OF
TRANSFER FUNCTIONS AS BLOCK DIAGRAMS 210 4.8 X(N), H(N), Y{N), AND THE
Z-TRANSFORM 212 4.9 SOLVING DIFFERENCE EQUATION USING THE Z-TRANSFORM
214 4.10 CONVERGENCE REVISITED 216 4.11 THE FINAL VALUE THEOREM 219 4.12
THE INITIAL-VALUE THEOREM 219 4.13 SOME INSIGHTS: POLES AND ZEROES 220
4.13.1 THE POLES OF THE SYSTEM 220 4.13.2 THE ZEROS OF THE SYSTEM 221
4.13.3 THE STABILITY OF THE SYSTEM 221 4.14 END OF CHAPTER EXERCISES 221
4.15 END OF CHAPTER PROBLEMS 255 5 STATE-SPACE AND DISCRETE SYSTEMS 265
5.1 INTRODUCTION 265 5.2 A REVIEW ON MATRIX ALGEBRA 266 5.2.1
DEFINITION, GENERAL TERMS AND NOTATIONS 266 5.2.2 THE IDENTITY MATRIX
266 5.2.3 ADDING TWO MATRICES 267 5.2.4 SUBTRACTING TWO MATRICES 267
5.2.5 MULTIPLYING A MATRIX BY A CONSTANT 267 5.2.6 DETERMINANT OF A
TWO-BY-TWO MATRIX 268 5.2.7 TRANSPOSE OF A MATRIX 268 5.2.8 INVERSE OF A
MATRIX 268 5.2.9 MATRIX MULTIPLICATION 269 5.2.10 EIGENVALUES OF A
MATRIX 269 5.2.11 DIAGONAL FORM OF A MATRIX 269 5.2.12 EIGENVECTORS OF A
MATRIX 269 5.3 GENERAL REPRESENTATION OF SYSTEMS IN STATE-SPACE 270
5.3.1 RECURSIVE SYSTEMS 270 5.3.2 NONRECURSIVE SYSTEMS 272 5.3.3 FROM
THE BLOCK DIAGRAM TO STATE-SPACE 273 5.3.4 FROM THE TRANSFER FUNCTION
H(Z) TO STATE-SPACE 276 5.4 SOLUTION OF THE STATE-SPACE EQUATIONS IN THE
Z-DOMAIN 283 5.5 GENERAL SOLUTION OF THE STATE EQUATION IN REAL-TIME 284
5.6 PROPERTIES OF A N AND ITS EVALUATION 285 5.7 TRANSFORMATIONS FOR
STATE-SPACE REPRESENTATIONS 289 5.8 SOME INSIGHTS: POLES AND STABILITY
291 5.9 END OF CHAPTER EXAMPLES 292 5.10 END OF CHAPTER PROBLEMS 322 6
MODELING AND REPRESENTATION OF DISCRETE LINEAR SYSTEMS 329 6.1
INTRODUCTION 329 6.2 FIVE WAYS OF REPRESENTING DISCRETE LINEAR SYSTEMS
330 6.2.1 FROM THE DIFFERENCE EQUATION TO THE OTHER FOUR REPRESENTATIONS
330 6.2.1.1 THE DIFFERENCE EQUATION REPRESENTATION 330 6.2.1.2 THE
IMPULSE RESPONSE REPRESENTATION 331 6.2.1.3 THE Z-TRANSFORM
REPRESENTATION 332 6.2.1.4 THE STATE-SPACE REPRESENTATION 333 6.2.1.5
THE BLOCK DIAGRAM REPRESENTATION 334 6.2.2 FROM THE IMPULSE RESPONSE TO
THE OTHER FOUR REPRESENTATIONS 335 6.2.2.1 THE IMPULSE RESPONSE
REPRESENTATION 335 6.2.2.2 THE TRANSFER FUNCTION REPRESENTATION 335
6.2.2.3 THE DIFFERENT EQUATION REPRESENTATION 336 6.2.2.4 THE
STATE-SPACE REPRESENTATION 336 6.2.2.5 THE BLOCK DIAGRAM REPRESENTATION
337 6.2.3 FROM THE TRANSFER FUNCTION TO THE OTHER FOUR REPRESENTATIONS
337 6.2.3.1 THE TRANSFER FUNCTION REPRESENTATION 337 6.2.3.2 THE IMPULSE
RESPONSE REPRESENTATION 338 6.2.3.3 THE DIFFERENCE EQUATION
REPRESENTATION 338 6.2.3.4 THE STATE-SPACE REPRESENTATION 339 6.2.3.5
THE BLOCK DIAGRAM REPRESENTATION 339 6.2.4 FROM THE STATE-SPACE TO THE
OTHER FOUR REPRESENTATIONS 340 6.2.4.1 THE STATE-SPACE REPRESENTATION
340 6.2.4.2 THE TRANSFER FUNCTION REPRESENTATION 340 6.2.4.3 THE IMPULSE
RESPONSE REPRESENTATION 341 6.2.4.4 THE DIFFERENCE EQUATION
REPRESENTATION 341 6.2.4.5 THE BLOCK DIAGRAM REPRESENTATION 342 6.2.5
FROM THE BLOCK DIAGRAM TO THE OTHER FOUR REPRESENTATIONS 343 6.2.5.1 THE
STATE-SPACE REPRESENTATION 343 6.2.5.2 THE TRANSFER FUNCTION
REPRESENTATION 344 6.2.5.3 THE IMPULSE RESPONSE REPRESENTATION 345
6.2.5.4 THE DIFFERENCE EQUATION REPRESENTATION 345 6.3 SOME INSIGHTS:
THE POLES CONSIDERING DIFFERENT OUTPUTS WITHIN THE SAME SYSTEM 346 6.4
END OF CHAPTER EXERCISES 346 6.5 END OF CHAPTER PROBLEMS 361 7 THE
DISCRETE FOURIER TRANSFORM AND DISCRETE SYSTEMS 365 7.1 INTRODUCTION 365
7.2 THE DISCRETE FOURIER TRANSFORM AND THE FINITE-DURATION DISCRETE
SIGNALS 366 7.3 PROPERTIES OF THE DISCRETE FOURIER TRANSFORM 367 7.3.1
HOW DOES THE DEFINING EQUATION WORK? 367 7.3.2 THE DFT SYMMETRY 368
7.3.3 THE DFT LINEARITY 370 7.3.4 THE MAGNITUDE OF THE DFT 371 7.3.5
WHAT DOES K IN X(K), THE DFT, MEAN? 372 7.4 THE RELATION THE DFT HAS
WITH THE FOURIER TRANSFORM OF DISCRETE SIGNALS, THE Z-TRANSFORM AND THE
CONTINUOUS FOURIER TRANSFORM 373 7.4.1 THE DFT AND THE FOURIER TRANSFORM
OF X(N) 373 7.4.2 THE DFT AND THE Z-TRANSFORM OF X(N) 374 7.4.3 THE DFT
AND THE CONTINUOUS FOURIER TRANSFORM OF X(T) 376 7.5 NUMERICAL
COMPUTATION OF THE DFT 377 7.6 THE FAST FOURIER TRANSFORM: A FASTER WAY
OF COMPUTING THE DFT 378 7.7 APPLICATIONS OF THE DFT 380 7.7.1 CIRCULAR
CONVOLUTION 380 7.7.2 LINEAR CONVOLUTION 384 7.7.3 APPROXIMATION TO THE
CONTINUOUS FOURIER TRANSFORM 385 7.7.4 APPROXIMATION TO THE COEFFICIENTS
OF THE FOURIER SERIES AND THE AVERAGE POWER OF THE PERIODIC SIGNAL X(T)
387 7.7.5 TOTAL ENERGY IN THE SIGNAL X{N) AND X(T) 391 7.7.6 BLOCK
FILTERING 393 7.7.7 CORRELATION 395 7.8 SOME INSIGHTS 395 7.8.1 THE DFT
IS THE SAME AS THE FFT 395 7.8.2 THE DFT POINTS ARE THE SAMPLES OF THE
FOURIER TRANSFORM OF X(N) 395 7.8.3 HOW CAN WE BE CERTAIN THAT MOST OF
THE FREQUENCY CONTENTS OF X(T) ARE IN THE DFT? 395 7.8.4 IS THE CIRCULAR
CONVOLUTION THE SAME AS THE LINEAR CONVOLUTION? 396 7.8.5 IS X(W) =
X(K) ? 396 7.8.6 FREQUENCY LEAKAGE AND THE DFT 396 7.9 END OF CHAPTER
EXERCISES 396 7.10 END OF CHAPTER PROBLEMS 415 8 ANALOGUE FILTER DESIGN
421 8.1 INTRODUCTION 421 8.2 ANALOGUE FILTER SPECIFICATIONS 422 8.3
BUTTERWORTH FILTER APPROXIMATION 425 8.4 CHEBYSHEV FILTERS 428 8.4.1
TYPE I CHEBYSHEV APPROXIMATION 428 8.4.2 INVERSE CHEBYSHEV FILTER (TYPE
II CHEBYSHEV FILTERS) 431 8.5 ELLIPTIC FILTER APPROXIMATION 433 8.6
BESSEL FILTERS 434 8.7 ANALOGUE FREQUENCY TRANSFORMATION 437 8.8
ANALOGUE FILTER DESIGN USING MATLAB 438 8.8.1 ORDER ESTIMATION FUNCTIONS
439 8.8.2 ANALOGUE PROTOTYPE DESIGN FUNCTIONS 440 8.8.3 COMPLETE
CLASSICAL IIR FILTER DESIGN 440 8.8.4 ANALOGUE FREQUENCY TRANSFORMATION
442 8.9 HOW DO WE FIND THE CUT-OFF FREQUENCY ANALYTICALLY? 443 8.10
LIMITATIONS 447 8.11 COMPARISON BETWEEN ANALOGUE FILTER TYPES 447 8.12
SOME INSIGHTS: FILTERS WITH HIGH GAIN VS. FILTERS WITH LOW GAIN AND THE
RELATION BETWEEN THE TIME CONSTANT AND THE CUT-OFF FREQUENCY FOR
FIRST-ORDER CIRCUITS AND THE SERIES RLC CIRCUIT 448 8.13 END OF CHAPTER
EXAMPLES 449 8.14 END OF CHAPTER PROBLEMS 479 9 TRANSFORMATIONS BETWEEN
CONTINUOUS AND DISCRETE REPRESENTATIONS 487 9.1 THE NEED FOR CONVERTING
CONTINUOUS SIGNAL TO A DISCRETE SIGNAL 487 9.2 FROM THE CONTINUOUS
SIGNAL TO ITS BINARY CODE REPRESENTATION ....488 9.3 FROM THE BINARY
CODE TO THE CONTINUOUS SIGNAL 490 9.4 THE SAMPLING OPERATION 490 9.4.1
AMBIGUITY IN REAL-TIME DOMAIN 490 9.4.2 AMBIGUITY IN THE FREQUENCY
DOMAIN 492 9.4.3 THE SAMPLING THEOREM 493 9.4.4 FILTERING BEFORE
SAMPLING 494 9.4.5 SAMPLING AND RECOVERY OF THE CONTINUOUS SIGNAL 496
9.5 HOW DO WE DISCRETIZE THE DERIVATIVE OPERATION? 500 9.6
DISCRETIZATION OF THE STATE-SPACE REPRESENTATION 504 9.7 THE BILINEAR
TRANSFORMATION AND THE RELATIONSHIP BETWEEN THE LAPLACE-DOMAIN AND THE
Z-DOMAIN REPRESENTATIONS 506 9.8 OTHER TRANSFORMATION METHODS 512 9.8.1
IMPULSE INVARIANCE METHOD 512 9.8.2 THE STEP INVARIANCE METHOD 512 9.8.3
THE FORWARD DIFFERENCE METHOD 512 9.8.4 THE BACKWARD DIFFERENCE METHOD
512 9.8.5 THE BILINEAR TRANSFORMATION 512 9.9 SOME INSIGHTS 515 9.9.1
THE CHOICE OF THE SAMPLING INTERVAL T S 515 9.9.2 THE EFFECT OF CHOOSING
T S ON THE DYNAMICS OF THE SYSTEM 515 9.9.3 DOES SAMPLING INTRODUCE
ADDITIONAL ZEROS FOR THE TRANSFER FUNCTION H(Z)? 516 9.10 END OF CHAPTER
EXAMPLES 517 9.11 END OF CHAPTER PROBLEMS 534 10 INFINITE IMPULSE
RESPONSE (IIR) FILTER DESIGN 541 10.1 INTRODUCTION 541 10.2 THE DESIGN
PROCESS 542 10.2.1 DESIGN BASED ON THE IMPULSE INVARIANCE METHOD 542
10.2.2 DESIGN BASED ON THE BILINEAR TRANSFORM METHOD 545 10.3 IIR FILTER
DESIGN USING MATLAB 548 10.3.1 FROM THE ANALOGUE PROTOTYPE TO THE IIR
DIGITAL FILTER 548 10.3.2 DIRECT DESIGN 548 10.4 SOME INSIGHTS 550
10.4.1 THE DIFFICULTY IN DESIGNING IIR DIGITAL FILTERS IN THE Z-DOMAIN
550 10.4.2 USING THE IMPULSE INVARIANCE METHOD 552 10.4.3 THE CHOICE OF
THE SAMPLING INTERVAL T S 552 10.5 END OF CHAPTER EXAMPLES 552 10.6 END
OF CHAPTER PROBLEMS 584 11 FINITE IMPULSE RESPONSE (FIR) DIGITAL FILTERS
591 11.1 INTRODUCTION 591 11.1.1 WHAT IS AN FIR DIGITAL FILTER? 591
11.1.2 A MOTIVATING EXAMPLE 591 11.2 FIR FILTER DESIGN 594 11.2.1
STABILITY OF FIR FILTERS 596 11.2.2 LINEAR PHASE OF FIR FILTERS 597 11.3
DESIGN BASED ON THE FOURIER SERIES: THE WINDOWING METHOD 598 11.3.1
IDEAL LOWPASS FIR FILTER DESIGN 599 11.3.2 OTHER IDEAL DIGITAL FIR
FILTERS 601 11.3.3 WINDOWS USED IN THE DESIGN OF THE DIGITAL FIR FILTER
602 11.3.4 WHICH WINDOW GIVES THE OPTIMAL H{N)7 604 11.3.5 DESIGN OF A
DIGITAL FIR DIFFERENTIATOR 605 11.3.6 DESIGN OF COMB FIR FILTERS 607
11.3.7 DESIGN OF A DIGITAL SHIFTER: THE HILBERT TRANSFORM FILTER....609
11.4 FROM IIR TO FIR DIGITAL FILTERS: AN APPROXIMATION 610 11.5
FREQUENCY SAMPLING AND FIR FILTER DESIGN 610 11.6 FIR DIGITAL DESIGN
USING MATLAB 611 11.6.1 DESIGN USING WINDOWS 611 11.6.2 DESIGN USING
LEAST-SQUARED ERROR 612 11.6.3 DESIGN USING THE EQUIRIPPLE LINEAR PHASE
612 11.6.4 HOW TO OBTAIN THE FREQUENCY RESPONSE 612 11.7 SOME INSIGHTS
613 11.7.1 COMPARISON WITH IIR FILTERS 613 11.7.2 THE DIFFERENT METHODS
USED IN THE FIR FILTER DESIGN 613 11.8 END OF THE CHAPTER EXAMPLES 614
11.9 END OF CHAPTER PROBLEMS 644 REFERENCES 649 INDEX 651
|
| any_adam_object | 1 |
| author | Elali, Taan S. |
| author_facet | Elali, Taan S. |
| author_role | aut |
| author_sort | Elali, Taan S. |
| author_variant | t s e ts tse |
| building | Verbundindex |
| bvnumber | BV017193573 |
| callnumber-first | T - Technology |
| callnumber-label | TK5102 |
| callnumber-raw | TK5102.9 |
| callnumber-search | TK5102.9 |
| callnumber-sort | TK 45102.9 |
| callnumber-subject | TK - Electrical and Nuclear Engineering |
| classification_rvk | ZN 6040 |
| ctrlnum | (OCoLC)249356103 (DE-599)BVBBV017193573 |
| dewey-full | 621.3822 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621.3822 |
| dewey-search | 621.3822 |
| dewey-sort | 3621.3822 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| format | Book |
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| id | DE-604.BV017193573 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T19:14:49Z |
| institution | BVB |
| isbn | 0849310938 |
| language | English |
| lccn | 2003053184 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-010361716 |
| oclc_num | 249356103 |
| open_access_boolean | |
| owner | DE-1046 DE-M347 DE-Aug4 DE-706 DE-1043 DE-634 DE-B768 |
| owner_facet | DE-1046 DE-M347 DE-Aug4 DE-706 DE-1043 DE-634 DE-B768 |
| physical | 667 S. Ill., graph. Darst. |
| publishDate | 2004 |
| publishDateSearch | 2004 |
| publishDateSort | 2004 |
| publisher | CRC Press |
| record_format | marc |
| series2 | Electrical engineering textbook series |
| spelling | Elali, Taan S. Verfasser aut Discrete systems and digital signal processing with MATLAB Taan S. Elali Boca Raton, FL u.a. CRC Press 2004 667 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Electrical engineering textbook series Includes bibliographical references and index. MATLAB MATLAB - Diskretes System - Digitale Signalverarbeitung Mathematik Signal processing Digital techniques Mathematics MATLAB (DE-588)4329066-8 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 gnd rswk-swf Diskretes System (DE-588)4401225-1 gnd rswk-swf Digitale Signalverarbeitung (DE-588)4113314-6 s Diskretes System (DE-588)4401225-1 s MATLAB (DE-588)4329066-8 s DE-604 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010361716&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Elali, Taan S. Discrete systems and digital signal processing with MATLAB MATLAB MATLAB - Diskretes System - Digitale Signalverarbeitung Mathematik Signal processing Digital techniques Mathematics MATLAB (DE-588)4329066-8 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd Diskretes System (DE-588)4401225-1 gnd |
| subject_GND | (DE-588)4329066-8 (DE-588)4113314-6 (DE-588)4401225-1 |
| title | Discrete systems and digital signal processing with MATLAB |
| title_auth | Discrete systems and digital signal processing with MATLAB |
| title_exact_search | Discrete systems and digital signal processing with MATLAB |
| title_full | Discrete systems and digital signal processing with MATLAB Taan S. Elali |
| title_fullStr | Discrete systems and digital signal processing with MATLAB Taan S. Elali |
| title_full_unstemmed | Discrete systems and digital signal processing with MATLAB Taan S. Elali |
| title_short | Discrete systems and digital signal processing with MATLAB |
| title_sort | discrete systems and digital signal processing with matlab |
| topic | MATLAB MATLAB - Diskretes System - Digitale Signalverarbeitung Mathematik Signal processing Digital techniques Mathematics MATLAB (DE-588)4329066-8 gnd Digitale Signalverarbeitung (DE-588)4113314-6 gnd Diskretes System (DE-588)4401225-1 gnd |
| topic_facet | MATLAB MATLAB - Diskretes System - Digitale Signalverarbeitung Mathematik Signal processing Digital techniques Mathematics Digitale Signalverarbeitung Diskretes System |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=010361716&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT elalitaans discretesystemsanddigitalsignalprocessingwithmatlab |