Page 198 - Algorithm Collections for Digital Signal Processing Applications using MATLAB
P. 198
Index
Adaptive noise filtering using Eigen vectors, 88, 91–93, 103, 105,
BPN, 145 106, 108, 118, 136, 141
Ant colony optimization, 44, 45, 48 Euclidean distance, 70, 136, 153,
Approximation co-efficients, 119, 158, 171
121–123, 128, 129, 159 Expectation – maximization
Artificial Genetic algorithm, 9 algorithm, 70
Average Entropy, 159 Expectation stage, 71, 72
Exponential of matrix, 107
Binary image rotation, 150–152
BPN structure, 24 Fourier transformation, 113, 114
Fuzzy k-means algorithm, 79–83
Chromosomes, 9, 11, 15–17 Fuzzy logic systems, 32, 33
Clustering, 68, 69, 81, 152, 155 Fuzzy membership, 32–40
Clustering texture images, 152
Cost function of energy state, 18, 19 Gaussian Mixture Model, 68, 72
Covariance matrix, 56–60, 62, 68, 70, Global minima, 20, 21, 25
72, 87–90, 141 Gram-Schmidt orthogonalization
Crisp value, 33–35, 38–40 procedure, 100–103
Cross over, 9–11, 16, 17, 161
Haar transformation, 120–124,
Daubechies-4 transformation, 127 127, 128
Denoising, 166, 169 Hotelling transformation, 87–90
Detail co-efficients, 120–124,
127–130, 159, 175 Independent component analysis, 53,
Differential equation, 108 65, 166, 170
Interactive genetic algorithm, 156, 160
Ear image data compression, 141, 143 Intersection, 32, 36
Ear pattern recognition, 135, 138
Eigen basis, 91, 92, 117, 141, 142 k-means algorithm, 77–83, 152, 153
Eigen ear, 135–137 Kurtosis, 54–56, 60, 156, 160
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