Minimax Design of Sparse IIR Filters Using Sparse Linear Programming

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

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

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Minimax design of 2-D IIR digital filters using sequential semidefinite programming

A method for the minimax design of quadrantally symmetric 2-D IIR filters with guaranteed stability is proposed. The design problem is solved by formulating an objective function in the semidefinite programming framework using a linear approximation for the transfer function. The issue of filter stability is addressed by converting the stability constraints into linear matrix inequalities based...

متن کامل

Design of Two-dimensional Iir Digital Filters via Linear Programming

A general method for the design of the magnitude response of 2-D I1R digital filters by using linear programming is presented. The formulation of the linear problem is achieved by developing appropriate linear constraints which ensure the minimization of a realistic approximation error of the magnitude response. Moreover, the stability of the resultant filter is guaranteed and the computational...

متن کامل

Minimax Input Shaper Design Using Linear Programming

The focus of this paper is on the design of robust input shapers where the maximum value of the cost function over the domain of uncertainty is minimized. This nonlinear programming problem is reformulated as a linear programming problem by approximating a n-dimensional hypersphere with multiple hyperplanes (as in a geodesic dome). A recursive technique to approximate a hypersphere to any level...

متن کامل

Design of Discrete Coefficient FIR and IIR Digital Filters with Prefilter-Equalizer Structure Using Linear Programming

Optimal methods for designing multiplierless finite-impulse response (FIR) and infinite-impulse response (IIR) filters with cascaded prefilter-equalizer structures are proposed. Assuming that an FIR filter consists of a cyclotomic polynomial (CP) prefilter and an interpolated second order polynomial (ISOP) equalizer, in the proposed method, the prefilter and equalizer are simultaneously designe...

متن کامل

Nearly Optimal Minimax Estimator for High Dimensional Sparse Linear Regression

We present estimators for a well studied statistical estimation problem: the estimation for the linear regression model with soft sparsity constraints (`q constraint with 0 < q ≤ 1) in the high-dimensional setting. We first present a family of estimators, called the projected nearest neighbor estimator and show, by using results from Convex Geometry, that such estimator is within a logarithmic ...

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

ژورنال

عنوان ژورنال: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

سال: 2021

ISSN: 0916-8508,1745-1337

DOI: 10.1587/transfun.2020eap1096