Principles Of Soft Computing Sivanandam Deepa Ebook Reader
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MATLAB with Control System, Signal Processing and Image Processing Toolboxes
Published by Wiley India Pvt. Ltd(2015)
ISBN 10: 8126554754ISBN 13: 9788126554751
Quantity Available: > 20
About this Item: Wiley India Pvt. Ltd, 2015. Softcover. Condition: New. This book is developed with an idea to enable the readers to be well versed with the basic MATLAB® functions and specialized toolboxes like Control System, Signal Processing and Image Processing used for problem solving in scientific and engineering domain. MATLAB functions are discussed in a lucid manner with their appropriateness for usage in computing solutions. The syntax to be followed for each of the defined MATLAB functions is also included in a detailed manner. The intention is to make the readers use the presented MATLAB functions directly for respective applications on their own. 1 MATLAB: An Introduction 1.1 Introduction 1.2 History of MATLAB 1.3 Need of MATLAB for Problem Solving 1.4 Running MATLAB on Computers 1.5 Features of MATLAB 1.6 MATLAB Basics 1.7 Toolboxes - An Introduction 1.8 Basic Simulink 1.9 Graphical User Interface Feature of MATLAB 1.10 Few MATLAB Product Lists 2 Getting Started to MATLAB 2.1 Introduction 2.2 Data Types 2.3 Variable Definition 2.4 Arrays 2.5 Matrices 2.6 Strings 2.7 User-Defined Functions 2.8 Input and Output Statements 2.9 File Input and Output Statements 2.10 Operators and Their Operations 2.11 Keywords 2.12 Dynamic Arrays 2.13 Exchanging Data with Other Programs 2.14 Recursive Functions 2.15 Miscellaneous MATLAB Functions 3 Programming in MATLAB 3.1 Introduction 3.2 Script M-File 3.3 Flow Control Statements in MATLAB 3.4 Efficient Programming in MATLAB 3.5 MATLAB Classes and Objects 3.6 Debugging in MATLAB 4 Mathematics in MATLAB: Working with Differential Equations and Polynomials 4.1 Introduction 4.2 Elementary Mathematic Operations 4.3 MATLAB Polynomial and Interpolation Operations 4.4 Statistics and Analysis of Data 4.5 MATLAB Functions for Ordinary Differential Equations 4.6 MATLAB Functions for Optimization 4.7 Specialized MATLAB Math Functions 4.8 Special Functions with the Command mfun 4.9 Sparse Matrices 4.10 Linear Algebra Approaches in MATLAB 4.11 Mathematical Constant Representation in MATLAB 5 MATLAB Graphical Environment 5.1 Introduction 5.2 Building Two-Dimensional Plots 5.3 Building Three-Dimensional Plots 5.4 Additional Specialized Plots 5.5 Printing and Exporting MATLAB Graphics 5.6 Handle Graphics Objects 5.7 Three-Dimensional Modeling and Visualization 6 MATLAB Control Systems Toolbox 6.1 Introduction 6.2 Basic Control System Concepts 6.3 MATLAB Commands for Creation of Linear Models and Computing Data 6.4 Time Domain and Frequency Response Analysis Commands 6.5 Commands for Conversion of Domains in Control Systems 6.6 System Dynamic Operational Commands 6.7 MATLAB Commands for Control System Design and Model Reduction 6.8 MATLAB Commands for State-Space Modeling, Frequency Response Models and Time Delay Approaches 6.9 Graphical User Interface and Other General Commands in Control System Toolbox 7 Signal Processing Toolbox in MATLAB 7.1 Introduction 7.2 Fundamentals of Signal Processing 7.3 Basic Signal Processing Functions in MATLAB 7.4 Transforms in MATLAB 7.5 Waveform Generation 7.6 Linear System Transformation 7.7 Digital Filtering Commands in MATLAB 7.8 Analog Filter Design Commands in MATLAB 7.9 MATLAB Commands for Windows in Filtering 7.10 Cepstrum Analysis in MATLAB 7.11 MATLAB Commands for Statistical Signal Processing 7.12 Parametric Modeling in MATLAB 7.13 Linear Prediction 7.14 Multirate Signal Processing in MATLAB 7.15 Special Signal Processing Operations 7.16 GUI MATLAB Commands for Signal Processing 8 Image Processing Toolbox in MATLAB 8.1 Introduction 8.2 Fundamentals of Image Processing 8.3 Image Types and Image Conversions in MATLAB Environment 8.4 MATLAB Image Arithmetic and Array Operations 8.5 Transformation of Images in MATLAB 8.6 Display of Images in MATLAB Environment 8.7 MATLAB File I/O Operations of Images 8.8 Image Registration in MATLAB 8.9 Analysis of Images in MATLAB 8.10 Image Enhancement in MATLAB E Printed Pages: 760. Seller Inventory # 86245
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The various neural network concepts are explained with examples, highlighting the difference between various architectures.
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9788126527410 - PRINCIPLES OF SOFT COMPUTING, 2ND ED by S.N. DEEPA S.N. SIVANANDAM
Principles Of Soft Computing Sivanandam Deepa Ebook Readers
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View or edit your browsing history. International Edition Textbooks may bear a label -Not for sale in the U. Principles of Soft Computing, 2ed. One of the bestest books in field, provided lots of examples for a beginner. Would you like to report this content as inappropriate? In some instances, the international textbooks may have different exercises at the end of the chapters. Architectures, Algorithms and Applications, 1e.
- PRINCIPLES OF SOFT COMPUTING, 2ND ED by S.N. DEEPA S.N. SIVANANDAM
Buy the selected items together This item: Your order is also backed by sivananfam In-Stock Guarantee! Wiley January 18, Publication Date: Not Enabled Word Wise: Read more Read less. Shopbop Designer Fashion Brands. The various neural network concepts are explained with examples, highlighting the difference between various architectures. There's a problem loading this menu right ny. Read more Read less. Mail us if you have any questions. The total number of undergraduate and postgraduate projects guided by him for both Computer Science and Engineering and Electrical and Electronics Engineering is around Get to Know Us.
This reflects the percentage of orders the seller has received and filled. Its really very good self study book. We may ship the books from multiple warehouses across the globe, including India depending upon the availability of inventory storage.