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Contents
l Algebraic Computation
l Aliasing
l Amdahl's Law
l Analysis of Variance
l ANOVA
l Attenuation
l Autocorrelation
l Average
l Bandwidth
l Baud
l Bayes Theorem
l Bayesian Statistics
l Benchmarking
l Beta Distribution
l Bias
l Biased Sampling
l Binning
l Binomial Distribution
l Bivariate Normal Distribution
l Boolean Algebra
l Bootstrap
l Breit-Wigner Distribution
l Brent's Method
l Cauchy Distribution
l Cellular Automata
l Central Limit Theorem
l Centroid
l Chebyshev Norm
l Chebyshev Polynomials
l Chi-Square Distribution
l Chi-Square Test
l Cholesky Decomposition
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Contents
l Clipping
l Composite Hypothesis
l Confidence Level
l Constraints
l Convolution
l Coordinate Systems
l Correlation Coefficient
l Cost of Test
l Covariance
l Covariance Ellipse
l Cramer-Rao Inequality
l Cramer-Smirnov-Von-Mises Test
l Cramer's Rule
l Curtosis
l Cylindrical Coordinates
l Database
l Data Compression
l Data Structures
l Decibel
l Decision Boundary
l Decision Quality Diagram
l Deconvolution
l Degrees of Freedom
l Delta Function
l Derivative Matrix
l Differentiation
l Dirac Delta Function
l Discrete Cosine Transform
l Discriminant Analysis
l Discriminant Function
l Dispersion Matrix
l Distance Function
l Distribution
l Dynamic Range
l Eigenvalue Problems
l Entropy
l Error Ellipse
l Error Function
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Contents
l Error Propagation
l Errors, General Classification
l Errors, Quadratic Addition
l Estimator
l Euler Angles
l Expectation Value
l Exponential Distribution
l Extrapolation to the Limit
l F Distribution
l F Test
l Factor Analysis
l Fast Transforms
l Feature Extraction
l FIFO
l Filtering
l Finite Difference Method
l Finite Element Method
l Finite State Machine
l Fitting
l Folding
l Fourier Transform
l Fractile
l Full Width at Half Maximum
l Gabor Filter
l Gamma Function
l Gauss-Jordan Elimination
l Gauss-Markov Theorem
l Gauss-Seidel Iteration
l Gaussian Distribution
l Gaussian Elimination
l Gaussian Quadrature
l Genetic Algorithms
l Geometric Mean
l Geometrical Transformations
l Givens Rotation
l Global Correlation Coefficient
l Global Image Operations
l Goodness-of-fit Test
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Contents
l Gradient
l Gram-Schmidt Decomposition
l Graph Theory
l Haar Transform
l Hamming Distance
l Harmonic Mean
l Hash Function
l Heaviside Function
l Hessian
l Histogram
l Horner's Rule
l Hot Spot
l Hough Transform
l Householder Transformation
l Huffman Coding
l Hypothesis Testing
l Ideogram
l Image Enhancement
l Image Processing
l Image Recognition
l Image Restoration
l Image Segmentation
l Importance Sampling
l Interpolation
l Jackknife
l Jacobi Determinant
l Jacobi Iteration
l Jacobi Matrix
l Jacobian
l Jacobian Peak
l Jitter
l Kalman Filter
l Karhunen-Loeve Transform
l Kolmogorov Test
l Korobov Sequences
l Kronecker Delta
l Kurtosis
l Lagrange Multipliers
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Contents
l Landau Distribution
l Laplace Transform
l Least Squares
l Least Squares, Linear
l Left-handed Coordinate System
l Likelihood
l Linear Algebra Packages
l Linear Equations
l Linear Equations, Iterative Solutions
l Linear Programming
l Linear Regression
l Linear Shift-invariant Systems
l LU Decomposition
l Marginal Distribution
l Markov Chain
l Matrix Operations
l Matrix Operations, Complex
l Maximum Likelihood Method
l Mean
l Median
l Median Filter
l Metric
l Metropolis Algorithm
l MFLOPS
l Minimax Approximation
l Minimization
l MIPS
l Mode
l Moment
l Monte Carlo Methods
l Morphological Operations
l Multinomial Distribution
l Multivariate Normal Distribution
l Neural Networks
l Neville Algorithm
l Newton-Raphson Method
l Newton's Rule
l Neyman-Pearson Diagram
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Contents
l Noise
l Norm
l Normal Distribution
l Normal Equations
l Numerical Differentiation
l Numerical Integration
l Numerical Integration of ODE
l Numerical Integration, Quadrature
l Numerov's Method
l Object-oriented Programming
l Optimization
l Orthogonal Functions
l Orthogonal Matrices
l Orthogonal Polynomials
l Orthonormal
l Outlier
l Overdetermined Systems
l Pade Approximation
l Parallel Processing
l Penalty Function
l Petri Nets
l Point Spread Function
l Poisson Distribution
l Polar Coordinates
l Polynomials
l Population
l Positivity
l Power of Test
l Predictor-Corrector Methods
l Principal Component Analysis
l Probability
l Probability Calculus
l Probability Density Function
l Protocol
l Pseudoinverse
l Pseudorandom Numbers
l Pull Value
l Purity of Test
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Contents
l QR Decomposition
l Quadrature
l Quantile
l Quantization
l Quasirandom Numbers
l Radius of Curvature
l Radon Transform
l Random Numbers
l Random Numbers, Correlated
l Random Variable
l Rank Filter
l Recursion
l Regression Analysis
l Regularization
l Relaxation
l Resampling
l Residuals
l Right-handed Coordinate System
l Rms Error
l Robustness
l Rotations
l Runge-Kutta Methods
l Runs
l Runs Test
l Saddle Point
l Sagitta
l Sample
l Sample Mean, Sample Variance
l Sampling from a Probability Density Function
l Sampling Theorem
l Scalar Product
l Scatter Diagram
l Schwarz Inequality
l Shaping
l Sharpening
l Sigmoid Function
l Signal Processing
l Significance of Test
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Contents
l Simplex Method
l Simpson's Rule
l Simulated Annealing
l Singular Value Decomposition
l Skewness
l Small Samples
l Smoothing
l Software Engineering
l Sorting
l Spherical Coordinates
l Spline Functions
l Stack
l Standard Deviation
l Statistic
l Stirling's Formula
l Stratified Sampling
l Structured Programming
l Student's Distribution
l Student's Test
l Successive Over-Relaxation
l T-Distribution, T-Test
l Template Matching
l Thresholding
l Training Sample
l Transformation of Random Variables
l Trimming
l Truly Random Numbers
l Tuple
l Type-I Error
l Unfolding
l Uniform Distribution
l Validation Sample
l Variance
l Wavelet Transform
l Weighted Mean
l Width
l Winsorization
l Zero Suppression
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Contents
l References
l Index
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