Software

Digital Signal Processing Using Matlab V.4 – Proakis and Ingle

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Book Description
In this supplementary text, MATLAB is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored.

Table of Contents
1. INTRODUCTION.
2. DISCRETE-TIME SIGNALS AND SYSTEMS.
3. THE DISCRETE-TIME FOURIER ANALYSIS.
4. THE z-TRANSFORM.
5. THE DISCRETE FOURIER TRANSFORM.
6. DIGITAL FILTER STRUCTURES.
7. FIR FILTER DESIGN. Preliminaries.
8. IIR FILTER DESIGN.
9. APPLICATIONS IN ADAPTIVE FILTERING.
10. APPLICATIONS IN COMMUNICATIONS.

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Adaptive Filtering Primer with MATLAB – Free PDF

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Book Description
Presents in simple terms the fundamentals of a complicated area of signal processing. Provides a self-contained, easily understood introduction to Wiener filtering, the LMS algorithm, and the least-squares approach. Demonstrates practical application through MATLAB® programs and computer experiments. Includes abundant problems along with detailed solutions, hints, or suggestions for solving every problem in the book. Offers an appendix on matrix computation.

Table of Contents
INTRODUCTION
DISCRETE-TIME SIGNAL PROCESSING
RANDOM VARIABLES, SEQUENCES, AND STOCHASTIC PROCESSES
WIENER FILTERS
EIGENVALUES OF RX – PROPERTIES OF THE ERROR SURFACE
NEWTON AND STEEPEST-DESCENT METHOD
THE LEAST MEAN-SQUARE (LMS) ALGORITHM
VARIATIONS OF LMS ALGORITHMS
LEAST SQUARES AND RECURSIVE LEAST-SQUARES SIGNAL PROCESSING

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A Guide to MATLAB Object-Oriented Programming – Free PDF

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Book Description
A Guide to MATLAB Object-Oriented Programming is the first book to deliver broad coverage of the documented and undocumented object-oriented features of MATLAB®. Unlike the typical approach of other resources, this guide explains why each feature is important, demonstrates how each feature is used, and promotes an understanding of the interactions between features.

Table of Contents
1 Introduction
Part 1 Group of Eight
2 Meeting MATLAB Requirements
3 Member Variables and Member Functions
4 Changing the Rules In Appearance Only
5 Displaying an Objects State
6 fieldnames.m
7 struct.m
8 get.m, set.m
9 Simplify using get, set, fieldnames, and struct
10 Drawing a Shape
Part 2 Building a Hierarchy
11 Constructor Redux
12 Constructing Simple Hierarchies with Inheritance
13 Object Arrays with Inheritance
14 Child Class Members
15 Constructing Simple Hierarchies with Composition
16 General Assignment and Mutator Helper Functions
17 Class Wizard
18 Class Wizard Versions of the Shape Hierarchy
Part 3 Advanced Strategies
19 Composition and a Simple Container Class
20 Static Member Data and Singleton Objects
21 Pass-by-reference Emulation
22 Dot Functions and Functors
23 Protected Member Variables and Functions
24 Potpourri for $100

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Learn Raspberry Pi with Linux

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Book Description
Learn Raspberry Pi with Linux will tell you everything you need to know about the Raspberry Pi’s GUI and command line so you can get started doing amazing things. You’ll learn how to set up your new Raspberry Pi with a monitor, keyboard and mouse, and you’ll discover that what may look unfamiliar in Linux is really very familiar. You’ll find out how to connect to the internet, change your desktop settings, and you’ll get a tour of installed applications.

Table of Contents
1: Your First Bite of Raspberry Pi
2: Surveying the Landscape
3: Getting Comfortable
4: The File-Paths to Success
5: Essential Commands
6: Editing Files on the Command Line
7: Managing Your Pi
8: A LAMP of Your Own
9: WiPi: Wireless Computing
10: The Raspberry sPi
11: Pi Media Center

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NETLAB: Algorithms for Pattern Recognition

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Book Description
This volume provides students, researchers and application developers with the knowledge and tools to get the most out of using neural networks and related data modelling techniques to solve pattern recognition problems. Each chapter covers a group of related pattern recognition techniques and includes a range of examples to show how these techniques can be applied to solve practical problems.

Table of Contents
Introduction.
– Parameter Optimisation Algorithms.
– Density Modelling and Clustering.
– Single-Layer Networks.
– The Multi-Layer Perceptron.
– Radial Basis Functions.
– Visualisation and Latent Variable Models.
– Sampling.
– Bayesian Techniques.
– Gaussian Processes.
– Linear Algebra and Matrices.
– Algorithm Error Analysis.
– Function Index.
– Subject Index.

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Random Signals and Processes Primer with MATLAB

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Book Description
This book provides anyone needing a primer on random signals and processes with a highly accessible introduction to these topics.  It assumes a minimal amount of mathematical background and focuses on concepts, related terms and interesting applications to a variety of fields.  All of this is motivated by numerous examples implemented with MATLAB.

Table of Contents
Introduction to Sample Space and Probability
Random Variable
Gordana Jovanovic Dolecek
Multidimensional Random Variables
Normal Random Variable
Other Important Random Variables
Random Processes
Spectral Characteristics of Random Processes

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Data Abstraction and Problem Solving with C++: Walls and Mirrors

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Book Description
This classic book has been revised to further enhance its focus on data abstraction and data structures using C++. The book continues to provide a firm foundation in data abstraction, emphasizing the distinction between specification and implementation as the foundation for an object-oriented approach. The authors cover key object-oriented concepts, including encapsulation, inheritance and polymorphism. However, the focus remains on data abstraction instead of simply C++ syntax. The authors also illustrate the role of classes and ADTs in the problem-solving process, and includes major applications of ADTs, such as searching a flight map and event-driven simulation. The book offers early, extensive coverage of recursion and uses this technique in many examples and exercises. It also introduces analysis of algorithms and the Big “O” notation. In addition, this text reviews, in an appendix, basic C++ syntax for those who either have studied the language previously or are making the transition from another language to C++.

Table of Contents
PART ONE – Problem-Solving Techniques
1 Principles of Programmingand Software Engineering
2 Recursion: The Mirrors
3 Data Abstraction: The Walls
4 Linked Lists
5 Recursion as a Problem-Solving Technique
PART TWO Problem Solving with Abstract Data Types
6 Stacks
7 Queues
8 Advanced C++ Topics
9 Algorithm Efficiency and Sorting
10 Trees
11 Tables and Priority Queues
12 Advanced Implementations of Tables
13 Graphs
14 External Methods

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Android: A Programmer’s Guide

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Book Description
Android: A Programmer’s Guide shows you, step-by-step, how to download and set up all of the necessary tools, build and tune dynamic Android programs, and debug your results. Discover how to provide web and chat functions, interact with the phone dialer and GPS devices, and access the latest Google services. You’ll also learn how to create custom Content Providers and database-enable your applications using SQLite.

Table of Contents
Ch 1. What is Android
Ch 2. Downloading and setting up Eclipse
Ch 3. Downloading the Google Android SDK and Eclipse Plugin
Ch 4. Exploring the Google Android SDK
Ch 5. Application: Hello World!
Ch 6. Using the Google Android Emulator
Ch 7. Reacting to phone events
Ch 8. Calling the GPS
Ch 9. Application: Note Block
Ch 10. Buttons, Lists, and other Objects
Ch 11. Application: Caller Info
Ch 12. Application: Find Me
Ch 13. Interacting with other Google Services
Ch 14. Troubleshooting and Errors

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QlikView 11 for Developers

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Book Description
Business Intelligence technologies are a must-have in every business to make informed decisions and keep up-to speed with the ever-evolving markets. QlikView’s disruptive technology makes it a key player and leader in the industry; with its flexibility and powerful analytics environment, building QlikView apps can be mastered by both, business users as well as developers. This book will help you learn QlikView Development from a basic to a practitioner level using a step-by-step approach in a practical environment, and apply proven best practices on each topic.

Table of Contents
Chapter 1: Meet QlikView
Chapter 2: Seeing is Believing
Chapter 3: Data Sources
Chapter 4: Data Modeling
Chapter 5: Styling Up
Chapter 6: Building Dashboards
Chapter 7: Scripting
Chapter 8: Data Modeling Best Practices
Chapter 9: Basic Data Transformation
Chapter 10: Advanced Expressions
Chapter 11: Set Analysis and Point In Time Reporting
Chapter 12: Advanced Data Transformation
Chapter 13: More on Visual Design and User Experience
Chapter 14: Security

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UNIX and Linux System Administration Handbook

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Book Description
The twentieth anniversary edition of the world’s best-selling UNIX system administration book has been made even more invaluable by adding coverage of the leading Linux distributions: Ubuntu, RHEL, and openSUSE. This book approaches system administration in a practical way and is an invaluable reference for both new administrators and experienced professionals. It details best practices for every facet of system administration, including storage management, network design and administration, email, web hosting, scripting, software configuration management, performance analysis, Windows interoperability, virtualization, DNS, security, management of IT service organizations, and much more.

Table of Contents
Section One: Basic Administration
Chapter 1: Where to Start
Chapter 2: Scripting and the Shell
Chapter 3: Booting and Shutting Down
Chapter 4: Access Control and Rootly Powers
Chapter 5: Controlling Processes
Chapter 6: The Filesystem
Chapter 7: Adding New Users
Chapter 8: Storage
Chapter 9: Periodic Processes
Chapter 10: Backups
Chapter 11: Syslog and Log Files
Chapter 12: Software Installation and Management
Chapter 13: Drivers and the Kernel
Section Two: Networking
Chapter 14: TCP/IP Networking
Chapter 15: Routing
Chapter 16: Network Hardware
Chapter 17: DNS: The Domain Name System
Chapter 18: The Network File System
Chapter 19: Sharing System Files
Chapter 20: Electronic Mail
Chapter 21: Network Management and Debugging
Chapter 22: Security
Chapter 23: Web Hosting
Section Three: Bunch O’ Stuff
Chapter 24: Virtualization
Chapter 25: The X Window System
Chapter 26: Printing
Chapter 27: Data Center Basics
Chapter 28: Green IT
Chapter 29: Performance Analysis
Chapter 30: Cooperating with Windows
Chapter 31: Serial Devices and Terminals
Chapter 32: Management, Policy, and Politics

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