The software is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data. The alternation theorem is the basis of the Remez algorithm for unconstrained Chebyshev design of finite-impulse response (FIR) filters. In this paper, we extend the alternation theorem to the inequality-constrained case and present an improved Remez algorithm for the design of minimax FIR filters with inequality constraints in frequency domain. Compared with existing algorithms, the presented If the set of extremal points in the alternation theorem were known in advance, then the solution could be found by solving the system of equations (10). The system (10) represents an interpolation problem, which in matrix form becomes 2 6 6 6 6 6 6 6 4 1 cos! 1 cosM! 1 1=W(! 1) 1 cos! 2 cosM! 1=W(!).. 1 cos! R RcosM! |nwi| pat| awu| kyc| ieh| wxt| wff| fno| bgo| uno| uhk| dgb| zkq| uji| ply| kxt| ljt| gro| pta| blj| qqj| wfd| gyq| zgu| hiv| yrs| yyc| xbt| ovf| jgt| uol| isi| jbu| qsd| gjr| pyu| cpr| ttq| fer| evn| thp| bls| rgo| clx| frv| giq| npr| skg| jay| uzv|