Signal Processing Methods for Music Transcription is the first book dedicated to uniting
research related to signal processing algorithms and models for various aspects of music …

Deep convolutional neural networks (DCNNs) have led to breakthrough results in numerous
practical machine learning tasks, such as classification of images in the ImageNet data set …

Compressed sensing (CS) is an emerging field that has attracted considerable research
interest over the past few years. Previous review articles in CS limit their scope to standard …

Discrete affine systems are obtained by applying dilations to a given shift-invariant system.
The complicated structure of the affine system is due, first and foremost, to the fact that it is …

We discuss wavelet frames constructed via multiresolution analysis (MRA), with emphasis
on tight wavelet frames. In particular, we establish general principles and specific algorithms …

The theory of frames for a Hilbert space plays a fundamental role in signal processing,
image processing, data compression, sampling theory and more, as well as being a fruitful …

During the last several years, frames have become increasingly popular; they have
appeared in a large number of applications, and several concrete constructions of frames of …

An Introduction to Non-Harmonic Fourier Series, Revised Edition is an update of a widely
known and highly respected classic textbook. Throughout the book, material has also been …

We provide a frame-theoretic analysis of oversampled finite impulse response (FIR) and
infinite impulse response (FIR) uniform filter banks (FBs). Our analysis is based on a new …

A new approach to multicarrier digital communication over time-varying, frequency selective
fading channels is presented. We propose a transmission signal set whose basic structure is …