# Download Engineering Applications of Noncommutative Harmonic by Gregory S. Chirikjian PDF

By Gregory S. Chirikjian

The classical Fourier rework is likely one of the most generally used mathematical instruments in engineering. in spite of the fact that, few engineers comprehend that extensions of harmonic research to features on teams holds nice strength for fixing difficulties in robotics, picture research, mechanics, and different components. for those who could be conscious of its strength worth, there's nonetheless no position they could flip to for a transparent presentation of the historical past they should practice the idea that to engineering problems.Engineering purposes of Noncommutative Harmonic research brings this strong device to the engineering global. Written particularly for engineers and desktop scientists, it bargains a pragmatic remedy of harmonic research within the context of specific Lie teams (rotation and Euclidean motion). It provides just a restricted variety of proofs, focusing as an alternative on delivering a evaluation of the basic mathematical effects unknown to so much engineers and specified discussions of particular applications.Advances in natural arithmetic can result in very tangible advances in engineering, yet provided that they're on hand and obtainable to engineers. Engineering functions of Noncommutative Harmonic research presents the capacity for including this invaluable and powerful strategy to the engineer's toolbox.

Read or Download Engineering Applications of Noncommutative Harmonic Analysis: With Emphasis on Rotation and Motion Groups PDF

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Extra resources for Engineering Applications of Noncommutative Harmonic Analysis: With Emphasis on Rotation and Motion Groups

Example text

Fourier analysis is a valuable tool in solving a particular kind of inverse problem which is posed as a Fredholm integral equation of the first kind with a convolution kernel g(x) = cu(x) + ∞ −∞ f (x − ξ )u(ξ ) dξ. 28) Here all the functions are real and c is either 1 or 0 since all other real coefficients can be absorbed in the definitions of the given “nice” functions g(x) and f (x). Our goal is, of course, to solve for u(x). Clearly the Fourier transform is a useful tool in this context because it yields g(ω) ˆ = c + fˆ(ω) u(ω).

Applying the Fourier transform to both sides of Eq. 20), and the initial conditions, one observes that for each fixed frequency ω one has a linear first-order ordinary differential equation in the Fourier transform with initial conditions d uˆ ˆ 0) = fˆ(ω). = iaω − bω2 uˆ with u(ω, dt The solution to this initial value problem is of the form u(ω, ˆ t) = fˆ(ω)e(iaω−bω )t . 2 Application of the inverse Fourier transform yields a solution. One recognizes that in the above expression for u(ω, ˆ t) is a Gaussian with phase factor, and on inversion this becomes a shifted Gaussian (x + at)2 1 2 exp − .

Calculated. Given a global map of the environment, a generalized convolution of the local free space estimate with the global map will generate a number of likely locations of the robot. 5 Template Matching and Tomography Template matching (also called pattern matching or image registration) is an important problem in many fields. For instance, in automated military surveillance, a problem of interest is to match a building or piece of military hardware with representative depictions in a database.