As a significant role in industrial equipment, rotating machinery fault diagnosis (RMFD)
always draws lots of attention for guaranteeing product quality and improving economic …

As a multi-resolution analysis method rooted rigorously in mathematics, wavelet transform
(WT) has shown its great potential in rotary machine fault diagnosis, characterized by …

Mechanical fault diagnosis is important to reduce unscheduled machine downtime and
avoid catastrophic accidents. It is significant to extract incipient fault and compound fault …

In this chapter, we develop the properties of wavelet systems in terms of the underlying filter
banks associated with them. This is an expansion and elaboration of the material in Chapter …

Automatic defect detection on hot-rolled steel surface is challenging owing to its localization
on a large surface, variation in appearance, and their rare occurrences. It is difficult to detect …

This article discusses modern techniques for nonuniform sampling and reconstruction of
functions in shift-invariant spaces. It is a survey as well as a research paper and provides a …

The word 'multiscale'can mean many things. However, in this book we are generally
concerned with the representation of objects at a set of scales and then manipulating these …

Multiwavelets are a new addition to the body of wavelet theory. Realizable as matrix-valued
filterbanks leading to wavelet bases, multiwavelets offer simultaneous orthogonality …

Theoretically, multiwavelets hold significant advantages over standard wavelets, particularly
for solving more complicated problems, and hence are of great interest. Meeting the needs …

Background and objective: The recognition of emotional states is a crucial step in the
development of a brain-computer interface (BCI) system. Emotion recognition system finds …