Page 195 - Algorithm Collections for Digital Signal Processing Applications using MATLAB

Appendix 185

Figure 4-3 Ear image compression with the ratio 3.2:1
using Eigen basis
Figure 4-4 Basis used for Ear Image Compression
Figure 4-5 FIR Filter
Figure 4-6 BPNN Filter structure
Figure 4-7 Noise Filtering using BPNN
Figure 4-8 Vector basis forBinary Image Rotation
Figure 4-9 Binary Image Rotation
Figure 4-10 Texture images - Cluster 1
Figure 4-11 Texture images - Cluster 2
Figure 4-12 Texture images - Cluster 3
Figure 4-13 Texture images - Cluster 4
Figure 4-14 Sample Front panel
Figure 4-15 Original speech signals
Figure 4-16 Mixed signals
Figure 4-17 Separated speech signals using ICA
Figure 4-18 Speech signal and Noise signal before mixing
Figure 4-19 Mixed signals
Figure 4-20 Retrieved speech and noise signals using ICA
Figure 4-21 Sample photorealistic images
Figure 4-22 Sample photographic images
Figure 4-23 Audio signal before and after watermarking
Figure 4-24 Original and watermarked signal in zoomed level
Figure 4-25 Hidden and Retrieved Binary image

List of m-files

psogv.m
f1.m

geneticgv.m
fcn.m

sagv.m
minfcn.m

anngv.m
logsiggv.m

fuzzygv.m