• Publications
  • Influence
An introduction to statistical signal processing with applications
TLDR
An Introduction to Statistical Signal Processing with Applications covers basic techniques in the processing of stochastic signals and illustrate their use in a variety of specific applications. Expand
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Orthogonal Moment Features for Use With Parametric and Non-Parametric Classifiers
TLDR
This research examines a variety of approaches for using two-dimensional orthogonal polynomials for the recognition of handwritten Arabic numerals. Expand
  • 192
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Partial Shape Classification Using Contour Matching in Distance Transformation
  • H. Liu, M. Srinath
  • Mathematics, Computer Science
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1 November 1990
TLDR
An algorithm is presented to recognize and locate partially distorted 2D shapes without regard to their orientation, location, and size. Expand
  • 201
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Corner detection from chain-code
TLDR
This paper evaluates a number of corner detectors and addresses some questions, such as number of responses to a single corner and noise sensitivity. Expand
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An efficient method for scene cut detection
TLDR
In this paper, we propose a novel method to detect scene cuts adaptively using a difference metric based on the color histograms of successive frames of a video sequence. Expand
  • 71
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A Chi-square test for fault-detection in Kalman filters
A test for real-time detection of soft failures in navigation systems using Kalman filters has been proposed by Kerr. The test is based on the overlap between the confidence regions associated withExpand
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Statistical distributions of image DCT coefficients
Abstract Several assumptions regarding the distributions of the DCT coefficients of image data have been made in recent years. A recent paper by Reininger and Gibson shows on the basis ofExpand
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Invariant character recognition with Zernike and orthogonal Fourier-Mellin moments
TLDR
A new method of combining Orthogonal Fourier–Mellin moments (OFMMs) with centroid bounding circle scaling is introduced, which is shown to be useful in characterizing images with large variability. Expand
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Contour sequence moments for the classification of closed planar shapes
TLDR
A technique for classifying closed planar shapes is described in which a shape is characterized by a one-dimensional sequence that represents the Euclidean distance between the centroid and all contour pixels of the shape. Expand
  • 155
  • 3
Continuous and discrete signals and systems
1. Representing Signals. Continuous-Time vs. Discrete-Time Signals. Periodic vs. Aperiodic Signals. Energy and Power Signals. Transformations of the Independent Variable. Elementary Signals. OtherExpand
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