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Wavelets and Signal Processing

Fourier Analysis

This book is presented as a collection of exercises and their solutions that aim to help undergraduate and postgraduate students studying signal processing.The exercises are originally from a book by B.P. Lathi entitled Signals, Systems and Communications, published by John Wiley.In this book, we concern ourselves only with ques...

Fundamentals of Differential Beamforming (1st Edition)

This book provides a systematic study of the fundamental theory and methods of beamforming with differential microphone arrays (DMAs), or differential beamforming in short. It begins with a brief overview of differential beamforming and some popularly used DMA beampatterns such as the dipole, cardioid, hypercardioid, and superca...

Analysis and Identification of Time-Invariant Systems, Time-Varying Systems, and Multi-Delay Systems using Orthogonal Hybrid Functions: Theory and Algorithms with MATLAB® (1st Edition)

This book introduces a new set of orthogonal hybrid functions (HF) which approximates time functions in a piecewise linear manner which is very suitable for practical applications.The book presents an analysis of different systems namely, time-invariant system, time-varying system, multi-delay systems---both homogeneous and non-...

Multimedia Signals and Systems: Basic and Advanced Algorithms for Signal Processing (2nd Edition)

This book is designed for students, professionals and researchers in the field of multimedia and related fields with a need to learn the basics of multimedia systems and signal processing. Emphasis is given to the analysis and processing of multimedia signals (audio, images, and video). Detailed insight into the most relevant ma...

Event-based control and signal processing

Detection of Random Signals in Dependent Gaussian Noise

The book presents the necessary mathematical basis to obtain and rigorously use likelihoods for detection problems with Gaussian noise. To facilitate comprehension the text is divided into three broad areas – reproducing kernel Hilbert spaces, Cramér-Hida representations and stochastic calculus – for which a somewhat different a...

Signals and images : advances and results in speech, estimation, compression, recognition, filtering, and processing

Signals and Images: Advances and Results in Speech, Estimation, Compression, Recognition, Filtering, and Processing cohesively combines contributions from field experts to deliver a comprehensive account of the latest developments in signal processing. These experts detail the results of their research related to audio and speec...

Compression-Based Methods of Statistical Analysis and Prediction of Time Series (1st Edition)

Universal codes efficiently compress sequences generated by stationary and ergodic sources with unknown statistics, and they were originally designed for lossless data compression. In the meantime, it was realized that they can be used for solving important problems of prediction and statistical analysis of time series, and this...

Mathematical Aspects of Signal Processing

Written using clear and accessible language, this text provides detailed coverage of the core mathematical concepts underpinning signal processing. All the core areas of mathematics are covered, including generalized inverses, singular value decomposition, function representation, and optimization, with detailed explanations of ...

Discrete Fourier Analysis and Wavelets: Applications to Signal and Image Processing (2nd)

Delivers an appropriate mix of theory and applications to help readers understand the process and problems of image and signal analysisMaintaining a comprehensive and accessible treatment of the concepts, methods, and applications of signal and image data transformation, this Second Edition of Discrete Fourier Analysis and Wavel...