Abstract—In this paper, an initial condition of strictly causal ra-tional interpolative sigma–delta modulators (SDMs) is estimated based on quantizer output bit streams and an input signal. A set of initial conditions generating bounded trajectories is character-ized. It is found that a set of initial conditions generating bounded trajectories but not necessarily corresponding to quantizer output bit streams is convex. Also, it is found that a set of initial conditions corresponding to quantizer output bit streams but not necessarily generating bounded trajectories is convex too. Moreover, it is found that an initial condition both corresponding to quantizer output bit streams and generating bounded trajectories is uniquely defined if the l...
In this chapter we address the issue of control and estimation when the decision variables must sati...
The Noise Transfer Function (NTF) of Delta-Sigma modulators is typically designed after the features...
Abstract. Demixing is the problem of identifying multiple structured signals from a superimposed, un...
Abstract—In this paper, an initial condition of strictly causal rational interpolative sigma-delta ...
In this paper, an initial condition of a sigma-delta modulator is estimated based on quantizer outpu...
When considering a class of finite-dimensional input signals such as bandlimited signals in the disc...
Just as their single-bit counterparts, multi-bit sigma delta modulators exhibit nonlinear behavior d...
This paper presents a tangential interpolatory projection model reduction method for the class of co...
This paper proposes a novel algorithm that can be integrated with various design and evaluation tool...
In this chapter an abstract model of a noise-shaping quantizer is derived. A noise-shaping quantizer...
In this paper, a novel model for single-bit internal quantizer Sigma Delta-modulators is presented. ...
In [9], we constructed a parameterization of general time-varying quantizers. The construction is ge...
In this paper we present a technique for nonlinear function generation which uses a novel sparse loo...
In this paper we present a technique for nonlinear function generation which uses a novel sparse loo...
Abstract: Sigma delta modulation is a popular form of A/D and D/A conversion. This nonlinear device ...
In this chapter we address the issue of control and estimation when the decision variables must sati...
The Noise Transfer Function (NTF) of Delta-Sigma modulators is typically designed after the features...
Abstract. Demixing is the problem of identifying multiple structured signals from a superimposed, un...
Abstract—In this paper, an initial condition of strictly causal rational interpolative sigma-delta ...
In this paper, an initial condition of a sigma-delta modulator is estimated based on quantizer outpu...
When considering a class of finite-dimensional input signals such as bandlimited signals in the disc...
Just as their single-bit counterparts, multi-bit sigma delta modulators exhibit nonlinear behavior d...
This paper presents a tangential interpolatory projection model reduction method for the class of co...
This paper proposes a novel algorithm that can be integrated with various design and evaluation tool...
In this chapter an abstract model of a noise-shaping quantizer is derived. A noise-shaping quantizer...
In this paper, a novel model for single-bit internal quantizer Sigma Delta-modulators is presented. ...
In [9], we constructed a parameterization of general time-varying quantizers. The construction is ge...
In this paper we present a technique for nonlinear function generation which uses a novel sparse loo...
In this paper we present a technique for nonlinear function generation which uses a novel sparse loo...
Abstract: Sigma delta modulation is a popular form of A/D and D/A conversion. This nonlinear device ...
In this chapter we address the issue of control and estimation when the decision variables must sati...
The Noise Transfer Function (NTF) of Delta-Sigma modulators is typically designed after the features...
Abstract. Demixing is the problem of identifying multiple structured signals from a superimposed, un...