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Fourier and Analysis
* Fourier Analysis
* Elias Stein and Guido Weiss, Introduction to Fourier Analysis on Euclidean Spaces, Princeton University Press, 1971.
See Fourier_Transform | Fourier Analysis for a mathematical description.
* Bracewell, R. N., Fourier Analysis and Imaging ( Plenum, 2004 )
* Cornelius Lanczos — Collected Published Papers with Commentaries The Fast Fourier Transform andSmoothing Data by Analysis and by Eye ed.
* D. Slepian, " Some comments on Fourier Analysis, uncertainty and modeling ", SIAM Review, 1983, Vol.
* The Analysis of Linear Partial Differential Operators I: Distribution Theory and Fourier Analysis ( Springer-Verlag, ISBN 978-3-540-00662-6 )
* The Analysis of Linear Partial Differential Operators IV: Fourier Integral Operators ( Springer-Verlag, ISBN 978-3-642-00117-8 )
* David W. Kammler, A First Course in Fourier Analysis ( Prentice-Hall, Inc., Upper Saddle River, NJ, 2000 ) p. 74.
Electromagnetic ( radio or sound ) waves are conceptually pure single frequency phenomena while pulses may be mathematically thought of as composed of a number of pure frequencies which sum and nullify in interactions creating a pulse train of the specific amplitudes, PRRs, base frequencies, phase characteristics, etcetera ( See Fourier Analysis ).
Lytle: New Technique for Investigating Noncrystalline Structures: Fourier Analysis of the Extended X-Ray — Absorption Fine Structure.
* Ronald N. Bracewell, Fourier Analysis and Imaging ( Kluwer Academic, 2003 ) 0306481871
*" An X-Ray Analysis of the Structure of Hexachlorobenzene, Using the Fourier Method ," Proceedings of the Royal Society 133A: 536 ( 1931 ).
Complex Analysis has direct applications in Circuit Analysis, while Fourier Analysis is needed for all Signals & Systems courses, as are Linear Algebra and Z-Transform.
* L. Hörmander, The Analysis of Linear Partial Differential Operators I, ( Distribution theory and Fourier Analysis ), 2nd ed, Springer ; 2nd edition ( September 1990 ) ISBN 0-387-52343-X.
* Elias M. Stein and Rami Shakarchi, Fourier Analysis.
An Introduction, ( 2003 ) Princeton University Press, pp 105 – 113 ( Proof of the Weyl's theorem based on Fourier Analysis )
* Fourier Analysis

Fourier and are
Signals are converted from time or space domain to the frequency domain usually through the Fourier transform.
The coefficients in the upper figure are computed by the Fourier series integral.
In electronic engineering and other fields, signals that vary periodically over time are often described as a combination of sine and cosine functions ( see Fourier analysis ), and these are more conveniently expressed as the real part of exponential functions with imaginary exponents, using Euler's formula.
The advantages of electron diffraction over X-ray crystallography are that the specimen need not be a single crystal or even a polycrystalline powder, and also that the Fourier transform reconstruction of the object's magnified structure occurs physically and thus avoids the need for solving the phase problem faced by the X-ray crystallographers after obtaining their X-ray diffraction patterns of a single crystal or polycrystalline powder.
The filter response can also be completely characterized in the frequency domain by its transfer function, which is the Fourier transform of the impulse response h. Typical filter design goals are to realize a particular frequency response, that is, the magnitude of the transfer function ; the importance of the phase of the transfer function varies according to the application, inasmuch as the shape of a waveform can be distorted to a greater or lesser extent in the process of achieving a desired ( amplitude ) response in the frequency domain.
Conversely, if the data are sparse — that is, if only K out of N Fourier coefficients are nonzero — then the complexity can be reduced to O ( K log N log ( N / K )), and this has been demonstrated to lead to practical speedups compared to an ordinary FFT for N / K > 32 in a large-N example ( N = 2 < sup > 22 </ sup >) using a probabilistic approximate algorithm ( which estimates the largest K coefficients to several decimal places ).
The Fourier components of each square are rounded to lower arithmetic precision, and weak components are eliminated entirely, so that the remaining components can be stored very compactly.
The coefficients in the upper and lower figures are respectively computed by the Fourier series integral and the discrete Fourier transform | DFT summation.
Thus, any periodic summation in the frequency domain can be represented by a Fourier series, whose coefficients are samples of a related continuous time function:
The core motivating idea are the various Fourier transforms, which can be generalized to a transform of functions defined on Hausdorff locally compact topological groups.
Coefficients ( a < sub > 0 </ sub >, a < sub > 1 </ sub >, b < sub > 1 </ sub >, a < sub > 2 </ sub >, b < sub > 2 </ sub >, ...) are in fact an element of an infinite-dimensional vector space ℓ < sup > 2 </ sup >, and thus Fourier series is a linear operator.
The mathematical counterpart of physical diffraction is the Fourier transform and the qualitative description of a diffraction picture as ' clear cut ' or ' sharp ' means that singularities are present in the Fourier spectrum.
And yet is fully recoverable as the real part of The product of with function shifts the < u > one-sided </ u > Fourier transform by amount No negative-frequency components are created, so the result is an analytic representation of the single sideband signal:
Examples of algorithms are the Fast Fourier transform ( FFT ), finite impulse response ( FIR ) filter, Infinite impulse response ( IIR ) filter, and adaptive filters such as the Wiener and Kalman filters.
Each frame has a unit block of sound, which are broken into basic sound waves and represented by numbers after Fourier Transform, can be statistically evaluated to set to which class of sounds it belongs to.
Mathematically, the uncertainty relation between position and momentum arises because the expressions of the wavefunction in the two corresponding bases are Fourier transforms of one another ( i. e., position and momentum are conjugate variables ).
In quantum mechanics, the two key points are that the position of the particle takes the form of a matter wave, and momentum is its Fourier conjugate, assured by the de Broglie relation, where is the wavenumber.
In mathematical terms, we say that is the Fourier transform of and that x and p are conjugate variables.
The two-dimensional images taken at different rotations are converted into a three-dimensional model of the density of electrons within the crystal using the mathematical method of Fourier transforms, combined with chemical data known for the sample.

Fourier and also
It may also be implemented using pre-computed wavetables or inverse Fast Fourier transforms.
Fourier transformation is also useful as a compact representation of a signal.
* Many other forms of spectroscopy also rely upon Fourier Transforms to determine the three-dimensional structure and / or identity of the sample being analyzed, including Infrared and Nuclear Magnetic Resonance spectroscopies.
Thus the DTFT of the s sequence is also the Fourier transform of the modulated Dirac comb function .< ref group =" note "> We may also note that:
See also Convergence of Fourier series.
Due to the Fourier limit ( also known as energy-time uncertainty ), a pulse of such short temporal length has a spectrum spread over a considerable bandwidth.
Laplace also recognised that Joseph Fourier's method of Fourier series for solving the diffusion equation could only apply to a limited region of space as the solutions were periodic.
Auguste Comte used the term " science social " to describe the field, taken from the ideas of Charles Fourier ; Comte also referred to the field as social physics.
NMR also employs Fourier transforms.
The transfer function can also be shown using the Fourier transform which is only a special case of the bilateral Laplace transform for the case where.
This function is also known as the discrete-time Fourier transform ( DTFT ).
Keeping our aim at linear, time invariant systems, we can also characterize the multipath phenomenon by the channel transfer function, which is defined as the continuous time Fourier transform of the impulse response
The method of Fourier transform spectroscopy can also be used for absorption spectroscopy.
The Fellgett advantage, also known as the multiplex principle, states that when obtaining a spectrum when measurement noise is dominated by detector noise ( which is independent of the power of radiation incident on the detector ), a multiplex spectrometer such as a Fourier transform spectrometer will produce a relative improvement in signal-to-noise ratio, compared to an equivalent scanning monochromator, of the order of the square root of m, where m is the number of sample points comprising the spectrum.
Specifically, solving a heat conduction ( Fourier ) problem with temperature ( the driving " force ") and flux of heat ( the rate of flow of the driven " quantity ", i. e. heat energy ) variables also solves an analogous electrical conduction ( Ohm ) problem having electric potential ( the driving " force ") and electric current ( the rate of flow of the driven " quantity ", i. e. charge ) variables.
Grenoble is also a major scientific centre, especially in the fields of physics, computer science, and applied mathematics: Joseph Fourier University ( UJF ) is one of the leading French scientific universities while the Grenoble Institute of Technology trains more than 5, 000 engineers every year in key technology disciplines.
The Fourier transform of a stochastic ( random ) waveform ( noise ) is also random.
Also, when a time-domain function is sampled to facilitate storage or computer-processing, it is still possible to recreate a version of the original Fourier transform according to the Poisson summation formula, also known as discrete-time Fourier transform.
The Fourier transform is also defined for such a function.
Toeplitz matrices are also closely connected with Fourier series, because the multiplication operator by a trigonometric polynomial, compressed to a finite-dimensional space, can be represented by such a matrix.
* Discrete Fourier transform ( DFT ), occasionally called the finite Fourier transform, the Fourier transform of a discrete periodic sequence ( yielding discrete periodic frequencies ), which can also be thought of as the DTFT of a finite-length sequence evaluated at discrete frequencies

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