“…Computer research with MATLAB is incorporated throughout in exercises and more extensive projects to provide readers with actual experience with the mathematical models…”
Acceso a las primeras páginas

“…This updated second edition includes two new and extensive chapters that cover practical linear algebra and applications of linear algebra as well as a computer file that includes Matlab codes. To enhance understanding of the material presented, the text contains a collection of exercises at the end of each chapter. …”

“…Content based on a successful electric power course by an MIT author Use of circuit theory to understand electric power Magnetic circuits as a way of understanding transformers and machines BCS to include scripts, written for Matlab, that carry out some of the calculations described in the book and that were used to create many of the figures. …”

“…Readers new to AI/ML algorithms can use the book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. …”

“…"Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. …”

Tabla de Contenidos: “…-- Next Steps -- References -- A Quick Surveyof MATLAB -- Bibliography -- About the Author -- Index -- EULA…”

“…Tanto el software, compilado en lenguaje C sobre PC, como los modelos de planta (Simulink-Matlab) están disponibles en internet…”
Texto completo en Odilo

“…Its powerful features, friendly syntax, and speed are attracting a growing number of adopters from Python, R, and Matlab, effectively raising the bar for modern general and scientific computing. …”

“…The apparent heat capacity method is applied in a MATLAB implementation, considering heat transfer by both conduction and natural convection. …”

“…The book contains many new computer-based examples designed for Ljung's market-leading software, System Identification Toolbox for MATLAB. Ljung combines careful mathematics, a practical understanding of real-world applications, and extensive exercises. …”

“…Signal processing and numerical modeling algorithms are explored, and MATLAB computer codes are provided for many of the design examples. …”

“…It takes readers through the implementation of MATLAB® codes for practical modeling of well-known and promising nanophotonic structures. …”

“…It contains extensive new coverage and examples related to biotechnology, nanotechnology, green/environmental engineering, and process safety, as well as many new MATLAB and Python problems throughout. Like previous editions, Basic Principles and Calculations in Chemical Engineering, 9th Edition, Global Edition offers a strong foundation of skills and knowledge for successful study and practice, guiding students through formulating and solving material and energy balance problems, as well as describing gases, liquids, and vapors. …”

“…The book covers the fundamentals of fractional calculus together with some analytical and numerical techniques, and provides MATLAB® codes for the simulation of fractional-order control (FOC) systems. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- Preface -- Acknowledgements -- Glossary -- Chapter 1 Introduction -- 1.1 Background -- 1.2 Signal Estimation -- 1.3 Model‐Based Processing -- 1.4 Model‐Based Identification -- 1.5 Subspace Identification -- 1.6 Notation and Terminology -- 1.7 Summary -- MATLAB Notes -- References -- Problems -- Chapter 2 Random Signals and Systems -- 2.1 Introduction -- 2.2 Discrete Random Signals -- 2.3 Spectral Representation of Random Signals -- 2.4 Discrete Systems with Random Inputs -- 2.4.1 Spectral Theorems -- 2.4.2 ARMAX Modeling -- 2.5 Spectral Estimation -- 2.5.1 Classical (Nonparametric) Spectral Estimation -- 2.5.1.1 Correlation Method (Blackman-Tukey) -- 2.5.1.2 Average Periodogram Method (Welch) -- 2.5.2 Modern (Parametric) Spectral Estimation -- 2.5.2.1 Autoregressive (All‐Pole) Spectral Estimation -- 2.5.2.2 Autoregressive Moving Average Spectral Estimation -- 2.5.2.3 Minimum Variance Distortionless Response (MVDR) Spectral Estimation -- 2.5.2.4 Multiple Signal Classification (MUSIC) Spectral Estimation -- 2.6 Case Study: Spectral Estimation of Bandpass Sinusoids -- 2.7 Summary -- Matlab Notes -- References -- Problems -- Chapter 3 State‐Space Models for Identification -- 3.1 Introduction -- 3.2 Continuous‐Time State‐Space Models -- 3.3 Sampled‐Data State‐Space Models -- 3.4 Discrete‐Time State‐Space Models -- 3.4.1 Linear Discrete Time‐Invariant Systems -- 3.4.2 Discrete Systems Theory -- 3.4.3 Equivalent Linear Systems -- 3.4.4 Stable Linear Systems -- 3.5 Gauss-Markov State‐Space Models -- 3.5.1 Discrete‐Time Gauss-Markov Models -- 3.6 Innovations Model -- 3.7 State‐Space Model Structures -- 3.7.1 Time‐Series Models -- 3.7.2 State‐Space and Time‐Series Equivalence Models -- 3.8 Nonlinear (Approximate) Gauss-Markov State‐Space Models -- 3.9 Summary -- MATLAB Notes -- References…”

Tabla de Contenidos: “…Abrahart; Preface by Linda See; Editors; Contributors; MATLAB Statement; Chapter 1: GeoComputation; Chapter 2: Modelling Spatial Morphologies : Fractal Patterns from Cellular Automata; Chapter 3: Parallel Computing in Geography; Chapter 4: The Evolving GeoWeb; Chapter 5: Geovisualisation as an Analytical Toolbox for Discovery; Chapter 6: GeoComputation : Applications in Biology; Chapter 7: Evolutionary Algorithms; Chapter 8: Genetic Programming : Magic Bullet, Poisoned Chalice or Two-Headed Monster?…”

Tabla de Contenidos: “…Excel interoperability -- MATLAB interoperability -- Mathematica interoperability -- Complete examples. …”

Tabla de Contenidos: “…Concluding remarks, where we ask which chapter you liked most (or disliked least), and end the book with a most useful quote; Appendix: a quick guide to Matlab…”

Tabla de Contenidos: “…2.9 The Sampling TheoremResources; Chapter 3 Modeling of Digital Control Systems; 3.1 ADC Model; 3.2 DAC Model; 3.3 The Transfer Function of the ZOH; 3.4 Effect of the Sampler on the Transfer Function of a Cascade; 3.5DAC, Analog Subsystem, and ADC Combination Transfer Function; 3.6 Systems with Transport Lag; 3.7 The Closed-Loop Transfer Function; 3.8 Analog Disturbances in a Digital System; 3.9 Steady-State Error and Error Constants; 3.10 MATLAB Commands; Resources; Chapter 4 Stability of Digital Control Systems; 4.1 Definitions of Stability; 4.2 Stable z-Domain Pole Locations…”