... of Figure 12 –3 in an effort to remove small background artifacts and to fill holes. Use a circular structure with a diameter of four pixels. % Example 12 .5 and Figures 12 .16 and 12 .17 % Demonstration ... PCA analysis and plot the resulting components. % Example 13 .5 and Figure 13 .18 and 13 .19 % Example of the use of PCA and ICA to identify signal % and artifact...
Ngày tải lên: 23/07/2014, 19:20
... within the image, although TLFeBOOK 340 Chapter 11 F IGURE 11 .14 A A reference image used in Example 11 .9 showing the reference points as black. (Original image from the MATLAB Image Processing ... Toolbox. Copyright 19 93–2003, The Math Works, Inc. Reprinted with permission.) F IGURE 11 .14 B Input image showing reference points corresponding to those shown in Figure 11 ....
Ngày tải lên: 23/07/2014, 19:20
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 8 pptx
... Chapter 11 F IGURE 11 .1 The influence of aliasing due to undersampling on two images with high spatial frequency. The aliased images show addition sinusoidal frequencies in the upper right image and ... Example 10 .5 and Figure 10 .7 Example of the use of pseudocolor % Load frame 17 of the MRI image (mri.tif) % from the Image Processing Toolbox in subdirectory ‘imdemos’. F...
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Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 7 potx
... proportions D (1, :) = .5*y ؉ .5*x ؉ .1* rand (1, N); D(2,:) = .2*y ؉ .7*x ؉ .1* rand (1, N); D(3,:) = .7*y ؉ .2*x ؉ .1* rand (1, N); D(4,:) = 6*y ؉ 24*x ؉ .2*rand (1, N); D(5,:) = .6* rand (1, N); % Noise ... *sin(w *12 ) ؉ .1* randn (1, N); % Double sin, a sawtooth s2 = sawtooth(w*5,.5)؉ .1* randn (1, N); % and a periodic % function s3 = pulstran((0:999),(0:5)’ *18 0,kaiser (10 0,3)) ؉ .0...
Ngày tải lên: 23/07/2014, 19:20
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 6 pptx
... abs(fft(h1,256)); % Calculate and plot filter LPF = abs(fft(h0,256)); % transfer fun of high- and % lowpass filters freq = (1: 128)* 10 00/256; % Assume fs = 10 00 Hz subplot(L 1, 2,2*i 1) ; plot(freq, ... Hz subplot(L 1, 2,2*i 1) ; plot(freq, LPF (1: 128)); % Plot from 0 to fs/2 Hz text (1, 1.7,’Low Pass Filter’); xlabel(’Frequency (Hz.)’)’ subplot(L 1, 2,2*i؉2); plot(freq, HPF (1: 128...
Ngày tải lên: 23/07/2014, 19:20
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 5 pptx
... (for example, see Figure 6 .10 and Figure 6 .11 ), and these operations should be eliminated in more efficient code. TLFeBOOK Time–Frequency Analysis 16 7 x = chirp(tn,f1 ,1, f2)’; % MATLAB routine % % ... type (1) == ’B’ G = BJC(L); % Born-Jorden-Cohen elseif type (1) == ’R’ G = R_M(L); % Rihaczek-Margenau else G = zeros(N,N); % Default Wigner-Ville G(N/2,N/2) = 1; end % figure mesh (...
Ngày tải lên: 23/07/2014, 19:20
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 4 ppt
... and Figure 4 .13 % Bandstop filter with a passband gain of 1 between 0 and 10 0, % a stopband gain of -40 db between 300 and 400 Hz, % and an upper passband gain of 1 between 500 and fs/2 Hz (10 00 %Hz). % ... f s /2 = 1 kHz, the f and a vector would be: f = [0 .1 .3 .4 .5 .7]; a = [11 .1. 111 ] . Note that the desired frequency curve is unspecified between 0 .1 and 0...
Ngày tải lên: 23/07/2014, 19:20
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 3 pot
... spaced sinusoids at 14 0 and 18 0 Hz both with an SNR of -10 db. (Callin g stru ct ure : data = sig_noise( [14 0 18 0], [ -10 -10 ], 256);) Sig_noise assumes a sampling rate of 1 kHz. Use the Welch ... in Example 3 .1. Use 12 4-point data segments and a 50% overlap. % Example 3.2 and Figure 3 .11 % Apply Welch’s method to sin plus noise data of Figure 3 .10 clear all; close all;...
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Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 2 docx
... box and record the following output: Frequency (Hz): 2 10 20 60 10 0 12 5 15 0 200 300 400 V out volts rms: .15 10 −7 0 .1 10 −3 0.002 0.2 1. 5 3.28 4.47 4.97 4.99 5.0 What is the cutoff frequency and ... (3) below, and the standard deviation, σ, is just the square root o f the v arian ce. σ 2 = 1 N − 1 ∑ N k =1 (x k − x ¯ ) 2 (3) Normalizing the standard deviation or varian...
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Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 1 pptx
... 10 9 Three-Stage Filter Design 11 1 IIR Filters 11 7 Two-Stage IIR Filter Design 11 8 Three-Stage IIR Filter Design: Analog Style Filters 11 9 Problems 12 3 5 Spectral Analysis: Modern Techniques 12 5 Parametric Model-Based ... scale: SNR linear = 10 db/20 (7) For example, a ratio of 20 db means that the RMS value of the signal was 10 times the RMS value of the noise (10 20/20 = 1...
Ngày tải lên: 23/07/2014, 19:20