The purpose of this article is to survey some sparsity‐inducing methods in system
identification and state estimation. Such methods can be divided into two main categories …

Sparsity finds applications in diverse areas such as statistics, machine learning, and signal
processing. Computations over sparse structures are less complex compared to their dense …

Quantisation is the process of mapping an input signal from an infinite continuous set to a
countable set with a finite number of elements. It is a non-linear irreversible process, which …

Quantization plays an important role as an inter-face between analog and digital
environments. Since quantization is a many to few mapping, it is a non-linear irreversible …