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#include #include "nr.h" using namespace std; DP NR::rf(const DP x, const DP y, const DP z) { const DP ERRTOL=0.0025, TINY=1.5e-38, BIG=3.0e37, THIRD=1.0/3.0; const DP C1=1.0/24.0, C

main() { printf(“ ab c\t de\rf\tg\n”); printf(“h\ti\b\bj d”); }

main() { printf(“ ab c\t de\rf\tg\n”); printf(“h\ti\b\bj d”); }

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

#include #include #include "filter.h" int parse_filter_value(char *filter_string, struct ray_filter_t *rf) { int nb_filter=0; float tab[3] = {.0, .0, .0}; char

#!/bin/bash autoreconf -fi; rm -Rf autom4te*.cache;

#!/bin/sh rm -rf autom4te.cache autoreconf -i

% 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)