Digital signal processing (DSP)

A comprehensive overview of the state-of-the-art in natural language generation for interactive systems, with links to resources for further research.

Offers a fresh approach to digital signal processing (DSP), combining heuristic reasoning and physical appreciation with mathematical methods.

This comprehensive and accessible textbook introduces students to the basics of modern signal processing techniques.

A comprehensive overview of the state-of-the-art in natural language generation for interactive systems, with links to resources for further research.

Covering the fundamentals of kernel-based learning theory, this is an essential resource for graduate students and professionals in computer science.

Expert authors draw on fundamental theory to explain the core principles and key design considerations for developing cognitive radio systems.

Expert authors draw on fundamental theory to explain the core principles and key design considerations for developing cognitive radio systems.

Learn to integrate information and decision theory to extend network density and scaling to unprecedented levels.

Covering the fundamentals of kernel-based learning theory, this is an essential resource for graduate students and professionals in computer science.

A new and exciting approach to the basics of quantum theory for undergraduate courses.

Presents the state of the art in sparse and multiscale image and signal processing.

This broad exploration of research in plasticity in sensory systems focuses on visual and auditory systems.

Presents practical electro-optical applications in the context of the fundamental principles of communication theory, thermodynamics, information theory and propagation theory.

The pioneers of Flash-OFDM present OFDMA from first principles, enabling readers to apply theory to practice and understand mobile broadband.

This broad exploration of research in plasticity in sensory systems focuses on visual and auditory systems.

Presents practical electro-optical applications in the context of the fundamental principles of communication theory, thermodynamics, information theory and propagation theory.

The pioneers of Flash-OFDM present OFDMA from first principles, enabling readers to apply theory to practice and understand mobile broadband.

A comprehensive and consistent theory of estimation, including a description of a powerful new tool, the generalized maximum capacity estimator.

A synthesis of recent advances in multimodal signal processing applications for human interaction analysis and meeting support technology.

This 2006 book introduces the theoretical foundations of error-correcting codes for senior-undergraduate to graduate students.

A detailed presentation of compressed sensing by leading researchers, covering the most significant theoretical and application-oriented advances.

Describes the design, mathematical analysis and implementation of pseudo-random sequences for applications in communications, cryptography and simulations.

Develops mathematical and probabilistic tools needed to give rigorous derivations and applications of fundamental results in signal processing theory.

A systematic, unified treatment of orthogonal transform methods that guides the reader from mathematical theory to problem solving in practice.

For fast, easy modeling, this practical guide provides the essential information you need, plus step-by-step case studies and handy hints/tips.

Covers the fundamental topics together with advanced theories, including the EM algorithm, hidden Markov models, and queueing and loss systems.

Fully updated and revised edition of Csiszár and Körner''s classic book on information theory.

Covers the fundamental topics together with advanced theories, including the EM algorithm, hidden Markov models, and queueing and loss systems.

An introduction to random matrix theory and its applications to real-world problems in signal processing and wireless communications.

A complete guide to digital front-end, covering all topics from the signal processing algorithm to integrated circuit design.

A complete guide to digital front-end, covering all topics from the signal processing algorithm to integrated circuit design.

Presents the theoretical foundations, practical implementation, challenges and benefits of physical-layer security, a groundbreaking new model for secure communication.

Provides clear and easily understandable coverage of the fundamental concepts and coding methods, whilst retaining technical depth and rigor.

Learn the key concepts and get hands-on experience with this step-by-step guide to constructing a fully functioning software receiver.

The basic concepts of digital signal processing are introduced, building on fundamental principles and connecting theory and practice.

Demonstrates how signal processing techniques can be used to model user dynamics and optimize design of media-sharing network systems.

Get up to speed quickly on the technologies and services that could transform the wireless world over the coming decade.

Get up to speed quickly on the technologies and services that could transform the wireless world over the coming decade.

Introduces a powerful set of mathematical tools that can be used to analyze and optimize the performance of engineering systems.

This book presents recent advances in three-dimensional (3D) imaging and display frameworks, encompassing three categories of 3D imaging and display technologies.

This book features the proceedings of the 6th EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2023).

The rapid development in various fields of Digital Audio Effects, or DAFX, has led to new algorithms and this second edition of the popular book, DAFX: Digital Audio Effects has been updated throughout to reflect progress in the field.

Capturing, recording and broadcasting the voice is often difficult.

Capturing, recording and broadcasting the voice is often difficult.

The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data.

The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data.

Nowadays, tensors play a central role for the representation, mining, analysis, and fusion of multidimensional, multimodal, and heterogeneous big data in numerous fields.

Nowadays, tensors play a central role for the representation, mining, analysis, and fusion of multidimensional, multimodal, and heterogeneous big data in numerous fields.

Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds.

A bridge between the application of subspace-based methods for parameter estimation in signal processing and subspace-based system identification in control systems Model-Based Processing: An Applied Subspace Identification Approach provides expert insight on developing models for designing model-based signal processors (MBSP) employing subspace identification techniques to achieve model-based identification (MBID) and enables readers to evaluate overall performance using validation and statistical analysis methods.