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Expert Python Programming: Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7, 3rd Edition
Expert Python Programming: Become a master in Python by learning coding best practices and advanced programming concepts in Python 3.7, 3rd Edition

Refine your Python programming skills and build professional grade applications with this comprehensive guide

Key Features

  • Create manageable code that can run in various environments with different sets of dependencies
  • Implement effective Python data structures and...
Internet of Things Programming Projects: Build modern IoT solutions with the Raspberry Pi 3 and Python
Internet of Things Programming Projects: Build modern IoT solutions with the Raspberry Pi 3 and Python

A practical project-based guide to help you build and control your IoT projects

Key Features

  • Leverage the full potential of IoT with the combination of Raspberry Pi 3 and Python
  • Build complex Python-based applications with IoT
  • Work on various IoT projects...
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles
Hands-On Neural Networks with Keras: Design and create neural networks using deep learning and artificial intelligence principles

Your one-stop guide to learning and implementing artificial neural networks with Keras effectively

Key Features

  • Design and create neural network architectures on different domains using Keras
  • Integrate neural network models in your applications using this highly practical...
Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You’ll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications. Deep Belief Nets in C++ and CUDA C: Volume 2 also covers several...
Mastering Qt  5: Create stunning cross-platform applications using C++ with Qt Widgets and QML with Qt Quick, 2nd Edition
Mastering Qt 5: Create stunning cross-platform applications using C++ with Qt Widgets and QML with Qt Quick, 2nd Edition

An In-depth guide updated with the latest version of Qt 5.11 including new features such as Quick Controls and Qt Gamepad

Key Features

  • Unleash the power of Qt 5.11 with C++
  • Build applications using Qt Widgets (C++) or Qt Quick (QML)
  • Create cross-platform...
Linear Algebra and Probability for Computer Science Applications
Linear Algebra and Probability for Computer Science Applications

Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...

Circuits, Systems and Signal Processing: A Tutorials Approach
Circuits, Systems and Signal Processing: A Tutorials Approach

This book is a collection of tutorial-like chapters on all core topics of signals and systems and the electronic circuits. All the topics dealt with in the book are parts of the core syllabi of standard programs in Electrical Engineering, Electrical and Computer Engineering, and Electronics and Telecommunication Engineering domains. This book...

Fourier Analysis on Finite Groups with Applications in Signal Processing and System Design
Fourier Analysis on Finite Groups with Applications in Signal Processing and System Design
Discover applications of Fourier analysis on finite non-Abelian groups

The majority of publications in spectral techniques consider Fourier transform on Abelian groups. However, non-Abelian groups provide notable advantages in efficient implementations of spectral methods.

Fourier Analysis on Finite Groups with Applications in...

The Mathematics of Signal Processing (Cambridge Texts in Applied Mathematics)
The Mathematics of Signal Processing (Cambridge Texts in Applied Mathematics)

Arising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of...

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications
Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for...
Mathematics for Electrical Engineering and Computing
Mathematics for Electrical Engineering and Computing
Mathematics for Electrical Engineering and Computing embraces many applications of modern mathematics, such as Boolean Algebra and Sets and Functions, and also teaches both discrete and continuous systems - particularly vital for Digital Signal Processing (DSP). In addition, as most modern engineers are required to study software,...
Hyperspectral Imaging: Techniques for Spectral Detection and Classification
Hyperspectral Imaging: Techniques for Spectral Detection and Classification

Hyperspectral Imaging: Techniques for Spectral Detection and Classification is an outgrowth of the research conducted over the years in the Remote Sensing Signal and Image Processing Laboratory (RSSIPL) at the University of Maryland, Baltimore County. It explores applications of statistical signal processing to hyperspectral...

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