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function [ar,arp,aru,g]=lpcrf2ar(rf) %LPCRF2AR Convert reflection coefs to autoregressive coefs [AR,ARP,ARU,G]=(RF) % % Input: RF(:,p+1) gives reflection coefficients of one or more p-section loss

% 设置双正交样条小波 wname = 'bior2.2'; % 计算两个相关的尺度滤波器rf和df [rf,rd] = biorwavf(wname)

% 设置反双正交样条滤波器 wname = 'rbio2.2'; % 计算两个相关滤波器：rf是重构尺度滤波器，df是分解尺度滤波器 [rf,df] = rbiowavf(wname)

#include #include #define work_state() PORTC|=BIT(PC4) //pwr=1: the RF in work state #define wait_state() PORTC&=~BIT(PC4) //pwr=0: the RF in wait state #defi

# A simple DNA alignment for Optiontests.pl #=RF xxxxxx seq1 AAACCCGGGTTT seq1 AAACCCGGGTTT seq1 AAACCCGGGTTT seq1 AAACCCGGGTTT seq1 AAACCCGGGTTT seq1 AAACCCGGGTTT

function rf=lpcar2rf(ar) %LPCAR2RF Convert autoregressive coefficients to reflection coefficients AR=(RF) % % Input: ar(:,p+1) Autoregressive coefficients % Output: rf(:,p+1) Reflection coeff

function [ar,arp,aru,g]=lpcrf2ar(rf) %LPCRF2AR Convert reflection coefs to autoregressive coefs [AR,ARP,ARU,G]=(RF) % % Input: RF(:,p+1) gives reflection coefficients of one or more p-section loss

function rf=lpcar2rf(ar) %LPCAR2RF Convert autoregressive coefficients to reflection coefficients AR=(RF) % % Input: ar(:,p+1) Autoregressive coefficients % Output: rf(:,p+1) Reflection coeff

function [ar,arp,aru,g]=lpcrf2ar(rf) %LPCRF2AR Convert reflection coefs to autoregressive coefs [AR,ARP,ARU,G]=(RF) % % Input: RF(:,p+1) gives reflection coefficients of one or more p-section loss

%filterh初始数据 order=2; Af=[1 1 0 1]; Bf=[.1 .3 .2 .2]; Qf=[.1 0 0 .1]; Cf=[.1 2 .3 .4]; Rf=[.1 .1 .1 .1]; P0=[3 0 0 3]; x0_=[0 0]';