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Tratamiento de Señales Digitales con MATLAB – John G. Proakis – 3ra Edición

Descripción

En este texto suplementario, utiliza MATLAB como una herramienta informática para explorar temas tradicionales en el Tratamiento de Señales Digitales, y resolver problemas para ganar penetración en Señales Digitales. Esto amplía enormemente el alcance y la complejidad de los problemas que los estudiantes pueden estudiar de manera efectiva en el curso.

Dado que las aplicaciones del Tratamiento de Señales Digitales son principalmente algoritmos implementados en un procesador de Señales Digitales o software, se requiere una buena cantidad de programación. El uso de software interactivo como MATLAB permite poner más énfasis en el aprendizaje de conceptos nuevos y difíciles que en los algoritmos de programación. Ejemplos temas prácticos de Interés se discuten y se aplican con problemas útiles explorados en todo el texto.

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  • 1. INTRODUCTION.
    Overview of Digital Signal Processing. A Brief Introduction to MATLAB®. Applications of Digital Signal Processing. Brief Overview of the Book.

    2. DISCRETE-TIME SIGNALS AND SYSTEMS.
    Discrete-time Signals. Discrete Systems. Convolution. Difference Equations.

    3. THE DISCRETE-TIME FOURIER ANALYSIS.
    The Discrete-time Fourier Transform (DTFT). The Properties of the DTFT. The Frequency Domain Representation of LTI Systems. Sampling and Reconstruction of Analog Signals.

    4. THE z-TRANSFORM.
    The Bilateral z-Transform. Important Properties of the z-Transform. Inversion of the z-Transform. System Representation in the z-Domain. Solutions of the Difference Equations.

    5. THE DISCRETE FOURIER TRANSFORM.
    The Discrete Fourier Series. Sampling and Reconstruction in the z-Domain. The Discrete Fourier Transform. Properties of the Discrete Fourier Transform. Linear Convolution Using the DFT. The Fast Fourier Transform.

    6. IMPLEMENTATION OF DISCRETE-TIME FILTERS.
    Basic Elements. IIR Filter Structures. FIR Filter Structures. Lattice Filter Structures. Overview of Finite-Precision Numerical Effects. Representation of Numbers. The Process of Quantization and Error Characterizations. Quantization of Filter Coefficients.

    7. FIR FILTER DESIGN.
    Preliminaries. Properties of Linear-phase FIR Filters. Window Design Techniques. Optimal Equiripple Design Technique.

    8. IIR FILTER DESIGN.
    Some Preliminaries. Some Special Filter Types. Characteristics of Prototype Analog Filters. Analog-to-Digital Filter Transformations. Lowpass Filter Design Using MATLAB®. Frequency-band Transformations.

    9. SAMPLING RATE CONVERSION.
    Introduction. Decimation by a Factor D. Interpolation by a Factor I. Sampling Rate Conversion by a Rational Factor I/D. FIR Filter Designs for Sampling Rate Conversion. FIR Filter Structures for Sampling Rate Conversion.

    10. ROUND-OFF EFFECTS IN DIGITAL FILTERS.
    Analysis of A/D Quantization Noise. Round-off Effects in IIR Digital Filters. Round-off Effects in FIR Digital Filters.

    11. APPLICATIONS IN ADAPTIVE FILTERING.
    LMS Algorithm for Coefficient Adjustment. System Identification of System Modeling. Suppression of Narrowband Interference in a Wideband Signal. Adaptive Line Enhancement. Adaptive Channel Equalization.

    12. APPLICATIONS IN COMMUNICATIONS
    Pulse-Code Modulation. Differential PCM (DPCM). Adaptive PCM and DPCM (ADPCM). Delta Modulation (DM). Linear Predictive Coding (LPC) of Speech. Dual-tone Multifrequency (DTMF) Signals. Binary Digital Communications. Spread-Spectrum Communications.
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