MARC details
| 000 -CABECERA |
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| campo de control de longitud fija |
15903cam a22002294a 4500 |
| 008 - DATOS DE LONGITUD FIJA--INFORMACIÓN GENERAL |
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| campo de control de longitud fija |
251210b mx ||||| |||| 00| 0 spa d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
0131873741 |
| 040 ## - FUENTE DE CATALOGACIÓN |
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| Centro catalogador/agencia de origen |
ITTLALPAN |
| Lengua de catalogación |
spa |
| Centro/agencia transcriptor |
ITTLALPAN |
| Normas de descripción |
rda |
| 041 ## - CÓDIGO DE IDIOMA |
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| Código de lengua del texto/banda sonora o título independiente |
Inglés |
| Código de lengua original |
Inglés |
| 050 00 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO |
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| Número de clasificación |
TK51025P76 |
| Cutter |
25P76 |
| Año |
2007 |
| 100 ## - ENTRADA PRINCIPAL--NOMBRE DE PERSONA |
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| Nombre de persona |
John G. Proakis |
| 9 (RLIN) |
3835 |
| Término indicativo de función/relación |
Autor |
| 245 00 - MENCIÓN DEL TÍTULO |
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| Título |
DIGITAL SIGNAL PROCESSING/ |
| Resto del título |
Principles, Algorithms, and Applications |
| 250 ## - MENCION DE EDICION |
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| Mención de edición |
Fourth Edition |
| 260 3# - PUBLICACIÓN, DISTRIBUCIÓN, ETC. |
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| Lugar de publicación, distribución, etc. |
Upper Saddle River, New Jersey, USA |
| Nombre del editor, distribuidor, etc. |
Pearson Prentice Hall |
| Fecha de publicación, distribución, etc. |
2007 |
| 300 ## - DESCRIPCIÓN FÍSICA |
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| Extensión |
1084 paginas |
| Dimensiones |
24 x 18.2 cm |
| 505 ## - NOTA DE CONTENIDO CON FORMATO |
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| Nota de contenido con formato |
Contents<br/>Preface xvii<br/><br/>1 Introduction 1<br/>1.1 Signals, Systems, and Signal Processing 2<br/>1.1.1 Basic Elements of a Digital Signal Processing System 4<br/>1.1.2 Advantages of Digital over Analog Signal Processing 5<br/>1.2 Classification of Signals 6<br/>1.2.1 Multichannel and Multidimensional Signals 6<br/>1.2.2 Continuous-Time Versus Discrete-Time Signals 9<br/>1.2.3 Continuous-Valued Versus Discrete-Valued Signals 10<br/>1.2.4 Deterministic Versus Random Signals 11<br/>1.3 The Concept of Frequency in Continuous-Time and Discrete-Time Signals 12<br/>1.3.1 Continuous-Time Sinusoidal Signals 12<br/>1.3.2 Discrete-Time Sinusoidal Signals 14<br/>1.3.3 Harmonically Related Complex Exponentials 17<br/>1.4 Analog-to-Digital and Digital-to-Analog Conversion 19<br/>1.4.1 Sampling of Analog Signals 21<br/>1.4.2 The Sampling Theorem 26<br/>1.4.3 Quantization of Continuous-Amplitude Signals 31<br/>1.4.4 Quantization of Sinusoidal Signals 34<br/>1.4.5 Coding of Quantized Samples 35<br/>1.4.6 Digital-to-Analog Conversion 36<br/>1.4.7 Analysis of Digital Signals and Systems Versus Discrete-Time Signals and Systems 36<br/>1.5 Summary and References 37<br/>Problems 37<br/>2<br/>Discrete-Time Signals and Systems<br/>41<br/><br/>2.1 Discrete-Time Signals<br/>42<br/><br/>2.1.1 Some Elementary Discrete-Time Signals<br/>43<br/><br/>2.1.2 Classification of Discrete-Time Signals<br/>45<br/><br/>2.1.3 Simple Manipulations of Discrete-Time Signals<br/>50<br/><br/>2.2 Discrete-Time Systems<br/>53<br/><br/>2.2.1 Input-Output Description of Systems<br/>54<br/><br/>2.2.2 Block Diagram Representation of Discrete-Time Systems<br/>57<br/><br/>2.2.3 Classification of Discrete-Time Systems<br/>59<br/><br/>2.2.4 Interconnection of Discrete-Time Systems<br/>67<br/><br/>2.3 Analysis of Discrete-Time Linear Time-Invariant Systems<br/>69<br/><br/>2.3.1 Techniques for the Analysis of Linear Systems<br/>69<br/><br/>2.3.2 Resolution of a Discrete-Time Signal into Impulses<br/>71<br/><br/>2.3.3 Response of LTI Systems to Arbitrary Inputs: The Convolution Sum<br/>73<br/><br/>2.3.4 Properties of Convolution and the Interconnection of LTI Systems<br/>80<br/><br/>2.3.5 Causal Linear Time-Invariant Systems<br/>83<br/><br/>2.3.6 Stability of Linear Time-Invariant Systems<br/>85<br/><br/>2.3.7 Systems with Finite-Duration and Infinite-Duration Impulse Response<br/>88<br/><br/>2.4 Discrete-Time Systems Described by Difference Equations<br/>89<br/><br/>2.4.1 Recursive and Nonrecursive Discrete-Time Systems<br/>90<br/><br/>2.4.2 Linear Time-Invariant Systems Characterized by Constant-Coefficient Difference Equations<br/>93<br/><br/>2.4.3 Solution of Linear Constant-Coefficient Difference Equations<br/>98<br/><br/>2.4.4 The Impulse Response of a Linear Time-Invariant Recursive System<br/>106<br/><br/>2.5 Implementation of Discrete-Time Systems<br/>109<br/><br/>2.5.1 Structures for the Realization of Linear Time-Invariant Systems<br/>109<br/><br/>2.5.2 Recursive and Nonrecursive Realizations of FIR Systems<br/>113<br/><br/>2.6 Correlation of Discrete-Time Signals<br/>116<br/><br/>2.6.1 Crosscorrelation and Autocorrelation Sequences<br/>118<br/><br/>2.6.2 Properties of the Autocorrelation and Crosscorrelation Sequences<br/>120<br/><br/>2.6.3 Correlation of Periodic Sequences<br/>123<br/><br/>2.6.4 Input-Output Correlation Sequences<br/>125<br/><br/>2.7 Summary and References<br/>128<br/><br/>Problems<br/>129<br/>3 The z-Transform and Its Application to the Analysis of LTI Systems<br/>147<br/>3.1 The z-Transform<br/>147<br/>3.1.1 The Direct z-Transform<br/>147<br/>3.1.2 The Inverse z-Transform<br/>156<br/>3.2 Properties of the z-Transform<br/>157<br/>3.3 Rational z-Transforms<br/>170<br/>3.3.1 Poles and Zeros<br/>170<br/>3.3.2 Pole Location and Time-Domain Behavior for Causal Signals<br/>174<br/>3.3.3 The System Function of a Linear Time-Invariant System<br/>177<br/>3.4 Inversion of the z-Transform<br/>180<br/>3.4.1 The Inverse z-Transform by Contour Integration<br/>180<br/>3.4.2 The Inverse z-Transform by Power Series Expansion<br/>182<br/>3.4.3 The Inverse z-Transform by Partial-Fraction Expansion<br/>184<br/>3.4.4 Decomposition of Rational z-Transforms<br/>192<br/>3.5 Analysis of Linear Time-Invariant Systems in the z-Domain<br/>193<br/>3.5.1 Response of Systems with Rational System Functions<br/>194<br/>3.5.2 Transient and Steady-State Responses<br/>195<br/>3.5.3 Causality and Stability<br/>196<br/>3.5.4 Pole-Zero Cancellations<br/>198<br/>3.5.5 Multiple-Order Poles and Stability<br/>200<br/>3.5.6 Stability of Second-Order Systems<br/>201<br/>3.6 The One-sided z-Transform<br/>205<br/>3.6.1 Definition and Properties<br/>206<br/>3.6.2 Solution of Difference Equations<br/>210<br/>3.6.3 Response of Pole-Zero Systems with Nonzero Initial Conditions<br/>211<br/>3.7 Summary and References<br/>214<br/>Problems<br/>214<br/><br/>4 Frequency Analysis of Signals<br/>224<br/>4.1 Frequency Analysis of Continuous-Time Signals<br/>225<br/>4.1.1 The Fourier Series for Continuous-Time Periodic Signals<br/>226<br/>4.1.2 Power Density Spectrum of Periodic Signals<br/>230<br/>4.1.3 The Fourier Transform for Continuous-Time Aperiodic Signals<br/>234<br/>4.1.4 Energy Density Spectrum of Aperiodic Signals<br/>238<br/>241<br/>4.2 Frequency Analysis of Discrete-Time Signals<br/>4.2.1 The Fourier Series for Discrete-Time Periodic Signals 241<br/>4.2.2 Power Density Spectrum of Periodic Signals 245<br/>4.2.3 The Fourier Transform of Discrete-Time Aperiodic Signals 248<br/>4.2.4 Convergence of the Fourier Transform 251<br/>4.2.5 Energy Density Spectrum of Aperiodic Signals 254<br/>4.2.6 Relationship of the Fourier Transform to the z-Transform 259<br/>4.2.7 The Cepstrum 261<br/>4.2.8 The Fourier Transform of Signals with Poles on the Unit Circle 262<br/>4.2.9 Frequency-Domain Classification of Signals: The Concept of Bandwidth 265<br/>4.2.10 The Frequency Ranges of Some Natural Signals 267<br/>4.3 Frequency-Domain and Time-Domain Signal Properties 268<br/>4.4 Properties of the Fourier Transform for Discrete-Time Signals 271<br/>4.4.1 Symmetry Properties of the Fourier Transform 272<br/>4.4.2 Fourier Transform Theorems and Properties 279<br/>4.5 Summary and References 291<br/>Problems 292<br/><br/>5 Frequency-Domain Analysis of LTI Systems 300<br/>5.1 Frequency-Domain Characteristics of Linear Time-Invariant Systems<br/>5.1.1 Response to Complex Exponential and Sinusoidal Signals: The Frequency Response Function 300<br/>5.1.2 Steady-State and Transient Response to Sinusoidal Input Signals 301<br/>5.1.3 Steady-State Response to Periodic Input Signals 310<br/>5.1.4 Response to Aperiodic Input Signals 311<br/>5.2 Frequency Response of LTI Systems<br/>5.2.1 Frequency Response of a System with a Rational System Function 312<br/>5.2.2 Computation of the Frequency Response Function 314<br/>5.3 Correlation Functions and Spectra at the Output of LTI Systems 314<br/>5.3.1 Input-Output Correlation Functions and Spectra 317<br/>5.3.2 Correlation Functions and Power Spectra for Random Input Signals 321<br/>5.4 Linear Time-Invariant Systems as Frequency-Selective Filters<br/>5.4.1 Ideal Filter Characteristics 323<br/>5.4.2 Lowpass, Highpass, and Bandpass Filters 326<br/>5.4.3 Digital Resonators 327<br/>5.4.4 Notch Filters 329<br/>5.4.5 Comb Filters 335<br/>341<br/>345<br/>5.4.6 All-Pass Filters<br/>5.4.7 Digital Sinusoidal Oscillators<br/>347<br/>5.5 Inverse Systems and Deconvolution<br/>349<br/>5.5.1 Invertibility of Linear Time-Invariant Systems<br/>350<br/>5.5.2 Minimum-Phase, Maximum-Phase, and Mixed-Phase Systems<br/>354<br/>5.5.3 System Identification and Deconvolution<br/>358<br/>5.5.4 Homomorphic Deconvolution<br/>360<br/>5.6 Summary and References<br/>362<br/>Problems<br/>363<br/>6 Sampling and Reconstruction of Signals<br/>384<br/>6.1 Ideal Sampling and Reconstruction of Continuous-Time Signals<br/>384<br/>6.2 Discrete-Time Processing of Continuous-Time Signals<br/>395<br/>6.3 Analog-to-Digital and Digital-to-Analog Converters<br/>401<br/>6.3.1 Analog-to-Digital Converters<br/>401<br/>6.3.2 Quantization and Coding<br/>403<br/>6.3.3 Analysis of Quantization Errors<br/>406<br/>6.3.4 Digital-to-Analog Converters<br/>408<br/>6.4 Sampling and Reconstruction of Continuous-Time Bandpass Signals<br/>410<br/>6.4.1 Uniform or First-Order Sampling<br/>411<br/>6.4.2 Interleaved or Nonuniform Second-Order Sampling<br/>416<br/>6.4.3 Bandpass Signal Representations<br/>422<br/>6.4.4 Sampling Using Bandpass Signal Representations<br/>426<br/>6.5 Sampling of Discrete-Time Signals<br/>427<br/>6.5.1 Sampling and Interpolation of Discrete-Time Signals<br/>427<br/>6.5.2 Representation and Sampling of Bandpass Discrete-Time Signals<br/>430<br/>6.6 Oversampling A/D and D/A Converters<br/>433<br/>6.6.1 Oversampling A/D Converters<br/>433<br/>6.6.2 Oversampling D/A Converters<br/>439<br/>6.7 Summary and References<br/>440<br/>Problems<br/>440<br/>7 The Discrete Fourier Transform: Its Properties and Applications<br/>449<br/>7.1 Frequency-Domain Sampling: The Discrete Fourier Transform<br/>449<br/>7.1.1 Frequency-Domain Sampling and Reconstruction of Discrete-Time Signals<br/>449<br/>7.1.2 The Discrete Fourier Transform (DFT)<br/>454<br/>7.1.3 The DFT as a Linear Transformation<br/>459<br/>7.1.4 Relationship of the DFT to Other Transforms<br/>461<br/>7.2 Properties of the DFT<br/>464<br/>7.2.1 Periodicity, Linearity, and Symmetry Properties<br/>465<br/>7.2.2 Multiplication of Two DFTs and Circular Convolution<br/>471<br/>7.2.3 Additional DFT Properties<br/>476<br/>7.3 Linear Filtering Methods Based on the DFT<br/>480<br/>7.3.1 Use of the DFT in Linear Filtering<br/>481<br/>7.3.2 Filtering of Long Data Sequences<br/>485<br/>7.4 Frequency Analysis of Signals Using the DFT<br/>488<br/>7.5 The Discrete Cosine Transform<br/>495<br/>7.5.1 Forward DCT<br/>495<br/>7.5.2 Inverse DCT<br/>497<br/>7.5.3 DCT as an Orthogonal Transform<br/>498<br/>7.6 Summary and References<br/>501<br/>Problems<br/>502<br/><br/>8 Efficient Computation of the DFT: Fast Fourier Transform Algorithms<br/>511<br/>8.1 Efficient Computation of the DFT: FFT Algorithms<br/>511<br/>8.1.1 Direct Computation of the DFT<br/>512<br/>8.1.2 Divide-and-Conquer Approach to Computation of the DFT<br/>513<br/>8.1.3 Radix-2 FFT Algorithms<br/>519<br/>8.1.4 Radix-4 FFT Algorithms<br/>527<br/>8.1.5 Split-Radix FFT Algorithms<br/>532<br/>8.1.6 Implementation of FFT Algorithms<br/>536<br/>8.2 Applications of FFT Algorithms<br/>538<br/>8.2.1 Efficient Computation of the DFT of Two Real Sequences<br/>538<br/>8.2.2 Efficient Computation of the DFT of a 2N-Point Real Sequence<br/>539<br/>8.2.3 Use of the FFT Algorithm in Linear Filtering and Correlation<br/>540<br/>8.3 A Linear Filtering Approach to Computation of the DFT<br/>8.3.1 The Goertzel Algorithm<br/>8.3.2 The Chirp-z Transform Algorithm<br/>8.4 Quantization Effects in the Computation of the DFT<br/>8.4.1 Quantization Errors in the Direct Computation of the DFT<br/>8.4.2 Quantization Errors in FFT Algorithms<br/>8.5 Summary and References<br/>Problems<br/>542<br/>542<br/>544<br/>549<br/>549<br/>552<br/>555<br/>556<br/><br/>9 Implementation of Discrete-Time Systems<br/>563<br/>9.1 Structures for the Realization of Discrete-Time Systems<br/>563<br/>9.2 Structures for FIR Systems<br/>565<br/>9.2.1 Direct-Form Structure<br/>566<br/>9.2.2 Cascade-Form Structures<br/>567<br/>9.2.3 Frequency-Sampling Structures<br/>569<br/>9.2.4 Lattice Structure<br/>574<br/>9.3 Structures for IIR Systems<br/>582<br/>9.3.1 Direct-Form Structures<br/>582<br/>9.3.2 Signal Flow Graphs and Transposed Structures<br/>585<br/>9.3.3 Cascade-Form Structures<br/>589<br/>9.3.4 Parallel-Form Structures<br/>591<br/>9.3.5 Lattice and Lattice-Ladder Structures for IIR Systems<br/>594<br/>9.4 Representation of Numbers<br/>601<br/>9.4.1 Fixed-Point Representation of Numbers<br/>601<br/>9.4.2 Binary Floating-Point Representation of Numbers<br/>605<br/>9.4.3 Errors Resulting from Rounding and Truncation<br/>608<br/>9.5 Quantization of Filter Coefficients<br/>613<br/>9.5.1 Analysis of Sensitivity to Quantization of Filter Coefficients<br/>613<br/>9.5.2 Quantization of Coefficients in FIR Filters<br/>620<br/>9.6 Round-Off Effects in Digital Filters<br/>624<br/>9.6.1 Limit-Cycle Oscillations in Recursive Systems<br/>624<br/>9.6.2 Scaling to Prevent Overflow<br/>629<br/>9.6.3 Statistical Characterization of Quantization Effects in Fixed-Point Realizations of Digital Filters<br/>631<br/>9.7 Summary and References<br/>640<br/>Problems<br/>641<br/>12.2 Innovations Representation of a Stationary Random Process<br/>12.2.1 Rational Power Spectra<br/>12.2.2 Relationships Between the Filter Parameters and the Autocorrelation Sequence<br/>12.3 Forward and Backward Linear Prediction<br/>12.3.1 Forward Linear Prediction<br/>12.3.2 Backward Linear Prediction<br/>12.3.3 The Optimum Reflection Coefficients for the Lattice Forward and Backward Predictors<br/>12.3.4 Relationship of an AR Process to Linear Prediction<br/>12.4 Solution of the Normal Equations<br/>12.4.1 The Levinson-Durbin Algorithm<br/>12.4.2 The Schur Algorithm<br/>12.5 Properties of the Linear Prediction-Error Filters<br/>12.6 AR Lattice and ARMA Lattice-Ladder Filters<br/>12.6.1 AR Lattice Structure<br/>12.6.2 ARMA Processes and Lattice-Ladder Filters<br/>12.7 Wiener Filters for Filtering and Prediction<br/>12.7.1 FIR Wiener Filter<br/>12.7.2 Orthogonality Principle in Linear Mean-Square Estimation<br/>12.7.3 IIR Wiener Filter<br/>12.7.4 Noncausal Wiener Filter<br/>12.8 Summary and References<br/>Problems<br/><br/>13 Adaptive Filters<br/>13.1 Applications of Adaptive Filters<br/>13.1.1 System Identification or System Modeling<br/>13.1.2 Adaptive Channel Equalization<br/>13.1.3 Echo Cancellation in Data Transmission over Telephone Channels<br/>13.1.4 Suppression of Narrowband Interference in a Wideband Signal<br/>13.1.5 Adaptive Line Enhancer<br/>13.1.6 Adaptive Noise Cancelling<br/>13.1.7 Linear Predictive Coding of Speech Signals<br/>13.1.8 Adaptive Arrays<br/>13.2 Adaptive Direct-Form FIR Filters—The LMS Algorithm<br/>13.2.1 Minimum Mean-Square-Error Criterion<br/>13.2.2 The LMS Algorithm<br/><br/>834<br/>836<br/>837<br/>838<br/>839<br/>841<br/>845<br/>846<br/>846<br/>847<br/>850<br/>855<br/>858<br/>858<br/>860<br/>863<br/>864<br/>866<br/>867<br/>872<br/>873<br/>874<br/>880<br/>880<br/>882<br/>883<br/>887<br/>891<br/>895<br/>896<br/>897<br/>900<br/>902<br/>903<br/>905<br/> |
| 520 ## - RESUMEN, ETC. |
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| Resumen, etc. |
DIGITAL SIGNAL PROCESSING<br/>Principles, Algorithms, and Applications — Fourth Edition<br/>John G. Proakis • Dimitris G. Manolakis<br/><br/>This fourth edition covers the fundamentals of discrete-time signals, systems, and modern digital signal processing. Appropriate for students of electrical engineering, computer engineering, and computer science, the book is suitable for undergraduate and graduate courses and provides balanced coverage of both theory and practical applications.<br/><br/>The first ten chapters treat basic DSP topics suitable for undergraduate-level DSP courses. The last four chapters treat more advanced DSP topics, including multirate digital signal processing, linear prediction, and optimum linear filters, adaptive filters, and power spectrum estimation. This material is appropriate for a graduate-level course in digital signal processing.<br/><br/>New to the fourth edition:<br/><br/>Newly written and updated chapter on sampling and reconstruction of signals<br/><br/>New addition on the discrete cosine transform<br/><br/>Updated chapter on multirate digital signal processing<br/><br/>New chapter on adaptive filters<br/><br/>Student Manual based on the use of MATLAB to solve problems in digital signal processing<br/><br/>The book also contains a large number of well-designed problems. Additionally, PowerPoint slides of text figures as well as a solutions manual are available to instructors.<br/><br/>Contents<br/>Preface<br/>1 Introduction<br/>2 Discrete-Time Signals and Systems<br/>3 The Z-Transform and its Application to the Analysis of LTI Systems<br/>4 Frequency Analysis of Signals<br/>5 Frequency-Domain Analysis of LTI Systems<br/>6 Sampling and Reconstruction of Signals<br/>7 The Discrete Fourier Transform: Its Properties and Applications<br/>8 Efficient Computation of the DFT: Fast Fourier Transform Algorithms<br/>9 Implementation of Discrete-Time Systems<br/>10 Design of Digital Filters<br/>11 Multirate Digital Signal Processing<br/>12 Linear Prediction and Optimum Linear Filters<br/>13 Adaptive Filters<br/>14 Power Spectrum Estimation<br/>Appendix A Random Number Generators<br/>Appendix B Tables of Transition Coefficients for the Design of Linear-Phase FIR Filters<br/>References and Bibliography<br/>Answers to Selected Problems<br/>Index |
| 526 ## - NOTA DE INFORMACIÓN SOBRE EL PROGRAMA DE ESTUDIO |
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| Program name |
Ingeniería Electrónica |
| 700 ## - ENTRADA AGREGADA--NOMBRE PERSONAL |
|---|
| Nombre de persona |
Dimitris G. Manolakis |
| 9 (RLIN) |
3837 |
| 942 ## - ELEMENTOS DE ENTRADA SECUNDARIOS (KOHA) |
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| Fuente del sistema de clasificación o colocación |
Clasificación LC, Biblioteca del Congreso |
| Tipo de ítem Koha |
Libro |
| Suprimir en OPAC |
No |
| 945 ## - CATALOGADORES |
|---|
| Nombre del Creador del Registro |
Edgar Adrián Morales Avilés |
| Número del Creador del Registro |
1251 |
| Número de último modificador del registro |
1251 |
| Nombre del último modificador del registro |
Edgar Adrián Morales Avilés |
