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% 第七章 例 7.24 % 用PM算法进行的带通滤波器设计 % ws1 = 0.2*pi; wp1 = 0.35*pi; wp2 = 0.65*pi; ws2 = 0.8*pi; Rp = 1.0; As = 60; delta1 = (10^(Rp/20)-1)/(10^(Rp/20)+1); delta2 = (1+delta1)*(10^(-As/20)); deltaH =

% 第七章 例 7.26 % 用PM算法进行的阶梯滤波器设计 % w1 = 0; w2 = 0.3*pi; delta1 = 0.01; w3 = 0.4*pi; w4 = 0.7*pi; delta2 = 0.005; w5 = 0.8*pi; w6 = pi; delta3 = 0.001; deltaH = max([delta1,delta2,delta3]); deltaL

% 第七章 例 7.25 % 用PM算法进行的高通滤波器设计 % ws = 0.6*pi; wp = 0.75*pi; Rp = 0.5; As = 50; delta1 = (10^(Rp/20)-1)/(10^(Rp/20)+1); delta2 = (1+delta1)*(10^(-As/20)); deltaH = max(delta1,delta2); deltaL = m

% 第七章: 例7.10 带通滤波器设计 - 布莱克曼窗 % ws1 = 0.2*pi; wp1 = 0.35*pi; wp2 = 0.65*pi; ws2 = 0.8*pi; As = 60; tr_width = min((wp1-ws1),(ws2-wp2)) M = ceil(11*pi/tr_width) + 1 %;M=68 n=[0:1:M-1]; wc1 = (ws

% 第七章: 例7.11 带阻滤波器设计 - 凯泽窗 % M = 45; As = 60; n=[0:1:M-1]; beta = 0.1102*(As-8.7) w_kai = (kaiser(M,beta))'; wc1 = pi/3; wc2 = 2*pi/3; hd = ideal_lp(wc1,M) + ideal_lp(pi,M) - ideal_lp(wc2,M); h

% 第七章: 例 7.19 % 频率采样技术: 差分器 % M = 33; alpha = (M-1)/2; Dw = 2*pi/M; l = 0:M-1; wl = Dw*l; k1 = 0:floor((M-1)/2); k2 = floor((M-1)/2)+1:M-1; Hrs = [j*Dw*k1,-j*Dw*(M-k2)]; angH = [-alpha*Dw*k1, a

% 第三章: 例 3.16: % b = [0.0181, 0.0543, 0.0543, 0.0181]; a = [1.0000, -1.7600, 1.1829, -0.2781]; m = 0:length(b)-1; l = 0:length(a)-1; K = 500; k = 1:1:K; w = pi*k/K; % [0, pi] 分成501个点. num =

%第三章: 例3.4: % 用矩阵-向量乘法求有限长序列的DTFT % n = -1:3; x = 1:5; % x(n)序列 k = 0:500; w = (pi/500)*k; % [0, pi] 轴分为501点. X = x * (exp(-j*pi/500)) .^ (n'*k); % 用矩阵-向量乘法求DTFT magX

% 第三章: 例 3.7: % x1 = rand(1,11); x2 = rand(1,11); n = 0:10; alpha = 2; beta = 3; k = 0:500; w = (pi/500)*k; X1 = x1 * (exp(-j*pi/500)).^(n'*k); % x1 的 DTFT X2 = x2 * (exp(-j*pi/500)).^(n'*k);

% 第三章: 例 3.6: % subplot(1,1,1) n = -5:5; x = (-0.9).^n; k = -200:200; w = (pi/100)*k; X = x * (exp(-j*pi/100)) .^ (n'*k); magX = abs(X); angX =angle(X); subplot(2,1,1); plot(w/pi,magX);grid ax