The questions whether or not a system can be approximated by an orthonormal filter bank, and how complex and robust such an approximation will be, are of great interest in different areas such as system-, control-, and information theory. However, every discipline has a different view with different performance criteria on these problems. This paper investigates the basis selection problem for different applications, starting with a stability problem from system theory, looking on entropy based methods from the information theory, and investigates the peak-to-average power ratio problem in communication systems
Abstract. During the past years Lindquist and coworkers have formulated and studied the so called ge...
Abstract:- Most signal processing systems are based on discrete-time signals although the origin of ...
Abstract—A general criterion for the design of adaptive systems in digital communications called the...
Abstract — A methodology is developed to derive algorithms for optimal basis selection by minimizing...
pretations (position, frequency, and scale), and we have experimented with feature-extraction method...
International audienceThis correspondence investigates the choice of a free parameter, usually relat...
The main theme of this volume is the efficient solution of families of stochastic or parametric part...
We study the problem of choosing the optimal wavelet basis with compact support for signal represent...
We propose a best basis algorithm for signal enhancement in white Gaussian noise. The best basis sea...
Abstract—Resource-constrained systems are prevalent in com-munications. Such a system is composed of...
AbstractDonoho and Johnstone introduced an adaptive algorithm that extends nonlinear thresholding de...
International audienceThis correspondence investigates the choice of a free parameter, usually relat...
International audienceThis correspondence investigates the choice of a free parameter, usually relat...
International audienceThis correspondence investigates the choice of a free parameter, usually relat...
We study the problem of choosing the optimal wavelet basis with compact support for signal represent...
Abstract. During the past years Lindquist and coworkers have formulated and studied the so called ge...
Abstract:- Most signal processing systems are based on discrete-time signals although the origin of ...
Abstract—A general criterion for the design of adaptive systems in digital communications called the...
Abstract — A methodology is developed to derive algorithms for optimal basis selection by minimizing...
pretations (position, frequency, and scale), and we have experimented with feature-extraction method...
International audienceThis correspondence investigates the choice of a free parameter, usually relat...
The main theme of this volume is the efficient solution of families of stochastic or parametric part...
We study the problem of choosing the optimal wavelet basis with compact support for signal represent...
We propose a best basis algorithm for signal enhancement in white Gaussian noise. The best basis sea...
Abstract—Resource-constrained systems are prevalent in com-munications. Such a system is composed of...
AbstractDonoho and Johnstone introduced an adaptive algorithm that extends nonlinear thresholding de...
International audienceThis correspondence investigates the choice of a free parameter, usually relat...
International audienceThis correspondence investigates the choice of a free parameter, usually relat...
International audienceThis correspondence investigates the choice of a free parameter, usually relat...
We study the problem of choosing the optimal wavelet basis with compact support for signal represent...
Abstract. During the past years Lindquist and coworkers have formulated and studied the so called ge...
Abstract:- Most signal processing systems are based on discrete-time signals although the origin of ...
Abstract—A general criterion for the design of adaptive systems in digital communications called the...