鼾音訊號測量計畫 執導老師 : 侯春茹 老師 組員 : 金雍庭 胡庭恩 林承葦 賴彥亨. 目錄 訊號的簡介 ▫ 臨床應用 ▫ 量測部位與方法 ▫ 訊號特徵 訊號處理流程 鼾聲量得訊號.

Presentasjon om: "鼾音訊號測量計畫 執導老師 : 侯春茹 老師 組員 : 金雍庭 胡庭恩 林承葦 賴彥亨. 目錄 訊號的簡介 ▫ 臨床應用 ▫ 量測部位與方法 ▫ 訊號特徵 訊號處理流程 鼾聲量得訊號."— Utskrift av presentasjonen:

1 鼾音訊號測量計畫 執導老師 : 侯春茹 老師 組員 : 金雍庭 胡庭恩 林承葦 賴彥亨

2 目錄 訊號的簡介 ▫ 臨床應用 ▫ 量測部位與方法 ▫ 訊號特徵 訊號處理流程 鼾聲量得訊號

3 訊號處理流程

4 第一部分作業為訊號加窗

5 鼾聲測量訊號 軟顎部位的鼾聲頻率大多分布在 150 Hz~300 Hz 之間， 舌根部位之頻率大多分布在 500 Hz~750 Hz 原始訊號

6 原始訊號取小段

7 窗型函數 Hamming

8 Rectangular

9 Hanning

10 Blackman

11 Triangular

12 n1=length(signal_1); window1=hamming(n1)'; % Hamming window addwindow1=(signal_1).*window1; % 原始訊號乘上 Hamming window u1=fft(addwindow1,L); u1_2=u(1:(length(u1)/2)) u_mag1=abs(u1_2); u_ang1=angle(u1_2); figure(4) subplot(2,2,1) plot(window1); % Hamming window 的頻譜圖 title('Hamming window') axis tight subplot(2,2,2) plot(addwindow1); title(' 原始訊號乘上 Hamming window') axis tight subplot(2,2,3) plot(fy_2,u_mag1) title(' 強度頻譜 ') subplot(2,2,4) plot(fy_2,u_ang1) title(' 相位頻譜 ') print('-f4', '-djpeg', '-r300', 'fig4');

13 window2=rectwin(n1); % Rectangular window addwindow2=(signal_1).*rectwin(n1)'; % 原始訊號乘上 Rectangular window u2=fft(addwindow2,L); u2_2=u(1:(length(u2)/2)) u_mag2=abs(u2_2); u_ang2=angle(u2_2); figure(5) subplot(2,2,1) plot(window2); % Rectangular window 的頻譜圖 title('Rectangular window') axis tight subplot(2,2,2) plot(addwindow2); title(' 原始訊號乘上 Rectangular window') axis tight subplot(2,2,3) plot(fy_2,u_mag2) title(' 強度頻譜 ') subplot(2,2,4) plot(fy_2,u_ang2) title(' 相位頻譜 ') print('-f5', '-djpeg', '-r300', 'fig5');

14 window3=hanning(n1); % Hann window addwindow3=(signal_1).*hanning(n1)'; % 原始訊號乘上 Hanning window u3=fft(addwindow3,L); u3_2=u(1:(length(u3)/2)) u_mag3=abs(u3_2); u_ang3=angle(u3_2); figure(6) subplot(2,2,1) plot(window3); % Hanning window 的頻譜圖 title('Hanning window') axis tight subplot(2,2,2) plot(addwindow3); title(' 原始訊號乘上 Hanning window') axis tight subplot(2,2,3) plot(fy_2,u_mag3) title(' 強度頻譜 ') subplot(2,2,4) plot(fy_2,u_ang3) title(' 相位頻譜 ') print('-f6', '-djpeg', '-r300', 'fig6');

15 window4=blackmanharris(n1); % Blackman window addwindow4=(signal_1).*blackmanharris(n1)'; % 原始訊號乘上 Blackman window u4=fft(addwindow4,L); u4_2=u(1:(length(u4)/2)) u_mag4=abs(u4_2); u_ang4=angle(u4_2); figure(7) subplot(2,2,1) plot(window4); % Blackman window 的頻譜圖 title('Blackman window') axis tight subplot(2,2,2) plot(addwindow4); title(' 原始訊號乘上 Blackman window') axis tight subplot(2,2,3) plot(fy_2,u_mag4) title(' 強度頻譜 ') subplot(2,2,4) plot(fy_2,u_ang4) title(' 相位頻譜 ') print('-f7', '-djpeg', '-r300', 'fig7');

16 window5=triang(n1); % Triangular window addwindow5=(signal_1).*triang(n1)'; % 原始訊號乘上 Triangular window u5=fft(addwindow5,L); u5_2=u(1:(length(u5)/2)) u_mag5=abs(u5_2); u_ang5=angle(u5_2); figure(8) subplot(2,2,1) plot(window5); % Triangular window 的頻譜圖 title('Triangular window') axis tight subplot(2,2,2) plot(addwindow5); title(' 原始訊號乘上 Triangular window') axis tight subplot(2,2,3) plot(fy_2,u_mag5) title(' 強度頻譜 ') subplot(2,2,4) plot(fy_2,u_ang5) title(' 相位頻譜 ') print('-f8', '-djpeg', '-r300', 'fig8');

17 第二部分用各種濾波器對訊號做濾波 備註 : 各濾波器的階數皆已調到最理想的狀態，但有些濾波的結果仍不甚明顯

18 濾波結果

19 Butter worth 低通濾波前後

20 Butter worth 高通濾波前後

21 Butterworth 帶拒濾波

22 % 原始訊號讀取 clc clear all close all [FILENAME,PATHNAME] = uigetfile ('*.wav'); if FILENAME fullname = [PATHNAME,FILENAME]; [SignalData,fs] = wavread(fullname); end % signal_1=detrend(SignalData); SignalData_detrend= signal_1(8735000:8815000); T=1/fs; N=length(SignalData_detrend); u=fft(signal_1); NR=fs/2;% 低通 [n,Wn]=buttord(1000/NR,1800/NR,1,60); [b0,a0]=butter(n,Wn,'low'); y=filter(b0,a0,SignalData_detrend); figure(6) plot(y) [n,Wn]=buttord(10/NR,0.5/NR,1,60); % 高通 [b1,a1]=butter(n,Wn,'high'); y=filter(b1,a1,SignalData_detrend); [b2,a2]=butter(2,[57 63]./NR,'stop'); % 帶拒 y=filter(b2,a2,SignalData_detrend); [h_low,f_low]=freqz(b0,a0,512, fs); [h_high,f_high]=freqz(b1,a1,25 6,fs); [h_stop,f_stop]=freqz(b2,a2,512,fs); figure(1) subplot(431) plot(f_low,abs(h_low)) xlabel('Frequence(Hz)') ylabel('H(w)') title('butterworth Lowpass') subplot(432) plot(f_high,abs(h_high)) xlabel('Frequence(Hz)') ylabel('H(w)') title('butterworth Highpass') subplot(433) plot(f_stop,abs(h_stop)) xlabel('Frequence(Hz)') ylabel('H(w)') title('butterworth Stoppass')

23 ell 濾波器 [n_low_ell,Wn_low_ell]=ellipord(1000/NR,1800/NR,1,6 0); [b_low_ell,a_low_ell]=ellip(n_low_ell,1,60,Wn_low_ell,'l ow'); SignalData_IIR_low_ell=filter(b_low_ell,a_low_ell,Signa lData_detrend); [n_high_ell,Wn_high_ell]=ellipord(10/NR,0.5/NR,1,60); [b_high_ell,a_high_ell]=ellip(n_high_ell,1,60,Wn_high_ ell,'high'); SignalData_IIR_high_ell=filter(b_high_ell,a_high_ell,Si gnalData_detrend); [b_stop_ell,a_stop_ell]=ellip(3,1,60,[57 63]./NR,'stop'); SignalData_IIR_stop_ell=filter(b_stop_ell,a_stop_ell,Sig nalData_detrend); [h_low_ell,f_low_ell]=freqz(b_low_ell,a_low_ell,256,fs); [h_high_ell,f_high_ell]=freqz(b_high_ell,a_high_ell,256, fs); [h_stop_ell,f_stop_ell]=freqz(b_stop_ell,a_stop_ell,256,f s); figure(1) subplot(434) plot(f_low_ell,abs(h_low_ell)) xlabel('Frequence(Hz)') ylabel('H(w)') title('Elliptic Lowpass') subplot(435) plot(f_high_ell,abs(h_high_ell)) xlabel('Frequence(Hz)') ylabel('H(w)') title('Elliptic Highpass') subplot(436) plot(f_stop_ell,abs(h_stop_ell)) xlabel('Frequence(Hz)') ylabel('H(w)') title('Elliptic Stoppass')

24 ChebyshevI 濾波器 [n_low_cheI,Wn_low_cheI]=cheb1ord(10 00/NR,1800/NR,1,60); [b_low_cheI,a_low_cheI]=cheby1(n_low _cheI,1,Wn_low_cheI,'low'); SignalData_IIR_low_cheI=filter(b_low_c heI,a_low_cheI,SignalData_detrend); [n_high_cheI,Wn_high_cheI]=cheb1ord( 10/NR,0.5/NR,1,60); [b_high_cheI,a_high_cheI]=cheby1(n_hi gh_cheI,1,Wn_high_cheI,'high'); SignalData_IIR_high_cheI=filter(b_high _cheI,a_high_cheI,SignalData_detrend); figure(123) freqz(b_high_cheI,a_high_cheI,256,fs); [fy,sfft]=fft_me(SignalData_IIR_high_ch eI,fs) figure(124) plot(fy,abs(sfft)) [b_stop_cheI,a_stop_cheI]=cheby1(3,1,[57 63]./NR,'stop'); SignalData_IIR_stop_cheI=filter(b_stop_cheI,a_stop_cheI,Sig nalData_detrend); [h_low_cheI,f_low_cheI]=freqz(b_low_cheI,a_low_cheI,256,f s); [h_high_cheI,f_high_cheI]=freqz(b_high_cheI,a_high_cheI,2 56,fs); [h_stop_cheI,f_stop_cheI]=freqz(b_stop_cheI,a_stop_cheI,25 6,fs); figure(1) subplot(437) plot(f_low_cheI,abs(h_low_cheI)) xlabel('Frequence(Hz)') ylabel('H(w)') title('ChebyshevI Lowpass') subplot(438) plot(f_high_cheI,abs(h_high_cheI)) xlabel('Frequence(Hz)') ylabel('H(w)') title('ChebyshevI Highpass') subplot(439) plot(f_stop_cheI,abs(h_stop_cheI)) xlabel('Frequence(Hz)') ylabel('H(w)') title('ChebyshevI Stoppass')

25 ChebyshevII 濾波器 [n_low_cheII,Wn_low_cheII]=cheb2ord(1000/NR,1800/NR,1,60); [b_low_cheII,a_low_cheII]=cheby2(n_low_cheII,60,Wn_low_cheII,'low'); SignalData_IIR_low_cheII=filter(b_low_cheII,a_low_cheII,SignalData_detrend); [n_high_cheII,Wn_high_cheII]=cheb2ord(10/NR,0.5/NR,1,60); [b_high_cheII,a_high_cheII]=cheby2(n_high_cheII,60,Wn_high_cheII,'high'); SignalData_IIR_high_cheII=filter(b_high_cheII,a_high_cheII,SignalData_IIR_low_cheII); [b_stop_cheII,a_stop_cheII]=cheby2(3,60,[57 63]./NR,'stop'); SignalData_IIR_stop_cheII=filter(b_stop_cheII,a_stop_cheII,SignalData_IIR_high_cheII); [h_low_cheII,f_low_cheII]=freqz(b_low_cheII,a_low_cheII,256,fs); [h_high_cheII,f_high_cheII]=freqz(b_high_cheII,a_high_cheII,256,fs); [h_stop_cheII,f_stop_cheII]=freqz(b_stop_cheII,a_stop_cheII,256,fs); figure(1) subplot(4,3,10) plot(f_low_cheII,abs(h_low_cheII)) xlabel('Frequence(Hz)') ylabel('H(w)') title('ChebyshevII Lowpass') subplot(4,3,11) plot(f_high_cheII,abs(h_high_cheII)) xlabel('Frequence(Hz)') ylabel('H(w)') title('ChebyshevII Highpass') subplot(4,3,12) plot(f_stop_cheII,abs(h_stop_cheII)) xlabel('Frequence(Hz)') ylabel('H(w)') title('ChebyshevII Stoppass')

26 加窗與傅立葉轉換 n1=length(y); window1=hamming(n1)'; % Hamming window addwindow1=(y).*window1; % 原始訊號乘上 Hamming window % u=fft(addwindow1); fd=1/(N*T); % 頻率間隔 m=0:(N-1); % 頻率點數 fy=m.*fd; fy_2=fy(1:(length(fy)/2)); u_2=u(1:(length(u)/2)); k=fs*(0:length(u)-1)/length(u); u_mag=abs(u_2); u_ang=angle(u_2); figure(4) plot(fy_2,u_mag) title(‘butterworth 強度頻譜 ')