Biosignal and Biomedical Image Processing MATLAB-Based Applications phần 10 pot
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 10 potx
... image
I(22:54,22:52) = .25; % Four squares of different shades
I(76 ;106 ,22:52) = .5; % against a black background
I(22:52,76 :106 ) = .75;
I(76 :106 ,76 :106 ) = 1;
%
% Construct projections: Fan and ... upper
images were created by thresholding the intensity. The lower left image is a com-
bination (logical OR) of the upper images and the lower right image adds a
thresholded text...
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 9 pot
... rotated image and the original image. )
9. Load a frame of the MRI image (
mri.tif
) and perform a spatial transfor-
mation that first expands the image horizontally by 20% then rotates the image
by ... Example 11 .9 Interactive Image Registration
% Load a frame of the MRI image (mri.tif) and perform a spatial
% transformation that tilts the image backward and displac...
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 8 pptx
... in pseudocolor
by coding the image into green and the inverse of the image into blue. Then
take a threshold and plot pixels over 80 % maximum as red.
4. Load the image of a cancer cell (from rat ... shape)
where
I1
and
h
are image and filter coefficients (or two images, or simply two
matrices) to be convolved and
shape
is an optional argument that controls the
size of the o...
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 7 potx
... noise
s1 = .75 *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)’*180,kaiser(100,3)) ؉
. 07* randn(1,N);
%
% ... are correlated, and this width is inversely related to the signal bandwidth. Hence, broad-
band signals remain correlated for only a few samples and vice versa.
TLFeBOOK
PCA and...
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 6 pptx
... analysis applications only the subband
signals are of interest and reconstruction is not needed, but in many wavelet
applications, some operation is performed on the subband signals, y
lp
(n) and
y
hp
(n), ... with a small bandwidth and a p eak a t 10 H z.
TLFeBOOK
8
Advanced Signal Processing
Techniques: Optimal
and Adaptive Filters
OPTIMAL SIGNAL PROCESSING: WIENER FILTERS
Th...
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 5 pptx
... time and
TLFeBOOK
150 Chapter 6
r
xx
(τ) =
∫
∞
−∞
x(t) x(t +τ) dt (4)
and
r
xx
(n) =
∑
M
k=1
x(k) x(k + n) (5)
where τ and n are the shift of the waveform with respect to itself.
In the standard ... preceded and followed by 0 .5 sec of no signal (i.e., zeros). Determine
the magnitude of the STFT and plot as both a three-dimensional grid plot and
as a contour plot. Do not use th...
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 4 ppt
... Example 4. 5 and Figure 4. 13
% Bandstop filter with a passband gain of 1 between 0 and 100,
% a stopband gain of -40 db between 300 and 40 0 Hz,
% and an upper passband gain of 1 between 500 and fs/2 ... used.
Example 4. 5 Design a bandstop filter having the following characteris-
tics: a passband gain of 1 (0 db) between 0 and 100, a stopband gain of 40 db
between 300 and...
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 3 pot
... and can be found in the help file for
pwelch
.
Example 3. 2 Apply Welch’s method to the sine plus noise data used in
Example 3. 1. Use 124-point data segments and a 50% overlap.
% Example 3. 2 and ... construct an impulse func-
tion and determine the output using the MATLAB
filter
routine.
% Example 4.1 and Figures 4.2 and 4 .3
% Plot the frequency characteristics and impuls...
Biosignal and Biomedical Image Processing MATLAB-Based Applications Muya phần 2 docx
... 4.
Example 2. 2 Generate bandlimited noise and compute and plot the auto-
correlation function for two different bandwidths.
% Example 2. 2 and Figure 2. 8
% Generate colored noise having two different bandwidths
% ... quantization step size, δ=V
MAX
/2
N
. Assuming
that the error is uniformly distributed between −δ /2 +δ /2, the variance, σ,is:
σ=
∫
δ /2
−δ /2
η
2
/δ dη=V
2...
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...
Biosignal and Biomedical Image Processing MATLAB-Based Applications phần 7 docx
... three-level analysis filter bank.
Examine the high frequency subband for evidence of the discontinuity.
% Example 7. 5 and Figures 7. 10 and 7. 11. Discontinuity detection
% Construct a waveform of 2 sinusoids ... shown in the lower
half of Figure 7. 12. In this decomposition scheme, both highpass and lowpass
subbands are further decomposed into highpass and lowpass subbands up ti...
Biosignal and Biomedical Image Processing MATLAB-Based Applications phần 8 pps
... viewing
TLFeBOOK
10
Fundamentals of Image Processing:
MATLAB Image Processing Toolbox
IMAGE PROCESSING BASICS: MATLAB IMAGE FORMATS
Images can be treated as two-dimensional data, and many of the signal process-
ing ... given data format and/ or class. For example, standard MATLAB oper-
ations require the data be in double format, and will not work correctly with
Indexed im...
Biosignal and Biomedical Image Processing MATLAB-Based Applications phần 9 pps
... image I
I_add = imadd(I, J); % Adds image I and J (images and/
% or constants) to form image
% I_add
I_sub = imsubtract(I, J); % Subtracts J from image I
I_divide = imdivide(I, J) % Divides image ... 11.3 and Figure 11.5A and B
% Linear filtering. Load the blood cell image
% Apply a 32nd order lowpass filter having a bandwidth of .125
% fs/2, and a highpass filter having...
Biosignal and Biomedical Image Processing MATLAB-Based Applications phần 10 pot
... sampled with one-half (left-hand image) and one-quarter (right-hand im-
age) the number of parallel beams used in Figure 13.5. The images have been
multiplied by a factor of 10 to enhance the faint ... gamma);
where
I_rescale
is the rescaled output image,
I
is the input image. The range
between
low
and
high
in the input image is rescaled to be between bottom and
top in the outpu...