Optimal Relaxed Causal Sampler Using Sampled-data System Theory

نویسندگان

  • HANUMANT SINGH SHEKHAWAT
  • GJERRIT MEINSMA
  • Gjerrit Meinsma
چکیده

This paper studies the design of an optimal relaxed causal sampler using sampled data system theory. A lifted frequency domain approach is used to obtain the existence conditions and the optimal sampler. A state space formulation of the results is also provided. The resulting optimal relaxed causal sampler is a cascade of a linear continuous time system followed by a generalized sampler and a discrete system.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Signals, samples and systems

This paper studies the design of an optimal relaxed causal sampler using sampled data system theory. A lifted frequency domain approach is used to obtain the existence conditions and the optimal sampler. A state space formulation of the results is also provided. The resulting optimal relaxed causal sampler is a cascade of a linear continuous time system followed by a generalized sampler and a d...

متن کامل

A sampled-data approach to optimal non-causal downsampling

Downsampling is the process of reducing the sampling rate of a discrete signal. This paper describes how sampled data system theory can be used to design an L2 or L∞ optimal downsampler which reduces the sampling rate by a positive integer factor from a given fast sampler. This paper also describes the effect of noise on the optimal downsampling.

متن کامل

L and L Optimal Downsampling from System Theoretic Viewpoint

Downsampling is the process of reducing the sampling rate of a discrete signal. It has many applications in image processing, audio, radar etc. The reduction factor of the sampling rate can be an integer or a rational greater than one. This paper describes how sampled data system theory can be used to design an L/L optimal downsampler which reduces the sampling rate by an positive integer facto...

متن کامل

Optimal Discretization of Analog Filters via Sampled-Data H-infinity Control Theory

In this article, we propose optimal discretization of analog filters (or controllers) based on the theory of sampled-data H∞ control. We formulate the discretization problem as minimization of the H∞ norm of the error system between a (delayed) target analog filter and a digital system including an ideal sampler, a zero-order hold, and a digital filter. The problem is reduced to discrete-time H...

متن کامل

Sampled Signal Reconstruction Via H2Optimization

In this paper the sampled signal reconstruction problem is formulated and solved as the sampled-data H smoothing problem, in which an analog reconstruction error is minimized. Both infinite (non-causal reconstructors) and finite (reconstructors with relaxed causality) preview cases are considered. The optimal reconstructors are in the form of the cascade of a discrete-time smoother and a genera...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2012