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Cosine function, inverse

As explained before, the FT can be calculated by fitting the signal with all allowed sine and cosine functions. This is a laborious operation as this requires the calculation of two parameters (the amplitude of the sine and cosine function) for each considered frequency. For a discrete signal of 1024 data points, this requires the calculation of 1024 parameters by linear regression and the calculation of the inverse of a 1024 by 1024 matrix. [Pg.530]

The asterisk designates the complex conjugate. Moreover, we note that the above Eqs. 2.46 and 2.47 imply positive as well as negative frequencies. In some physics applications, an appearance of negative frequencies may be confusing only positive frequencies may have physical meaning. In such cases one may rewrite the above inverse tranform in terms of positive frequencies, using a well-known relationship between the complex exponential function and the sine and cosine functions. [Pg.42]

By Fourier transformation, a signal is decomposed into its sine and cosine components [Angl]. In this way, it is analysed in terms of the amplitude and the phase of harmonic waves. Sine and cosine functions are conveniently combined to form a complex exponential, coscot 4- i sinwt = exp icomplex amplitudes of these exponentials constitute the spectrum F((o) of the signal f(t), where co = In IT is the frequency in units of 2n of an oscillation with time period T. The Fourier transformation and its inverse are defined as... [Pg.126]

Cyclical Modification of Inverse Bateman Function A cosine function can be used to describe patterns similar to the exponential and inverse Bateman models and can therefore be used as the function for disease progress. However, this same cosine function can also be used to impose a cyclical modulation on another function. [Pg.567]

In this equation, the disease progression model is evaluated at any time t and the cosine function is added to the overall disease progression model to determine the status. Here, SADamp and Phase define the amplitude of the underlying cyclical change in disease severity score and the time to the maximum worsening of that score. A plot of an inverse Bateman function with a cyclical component is provided in Figure 21.11. [Pg.569]

The right-hand side of this equation is a mere cosine function as shown in Figure 6.6d, and its Fourier transform gives a delta function as shown in Figure 6.6e. This means that in an ideal case the assumed true bandshape is recovered by the above series of computations. What is needed in a practical case is an operation to narrow the bandwidth of the Lorentz profile to an appropriate degree. In more general terms, FSD is an operation to narrow (deconvolve) the bandwidth of a band by computations involving the (inverse) Fourier transform of the bandshape function itself (FSD). [Pg.90]

The — 1 superscript indicates an inverse function. It is not an exponent, even though exponents are written in the same position. If you need to write the reciprocal of sin(y), you should write [sin (y)] to avoid confusion. It is probably better to use the notation of Eq. (2.42) rather than that of Eq. (2.43). The other inverse trigonometric functions such as the inverse cosine and inverse tangent are defined in the same way as the arcsine function. [Pg.34]

Figure 23 Calculation of the shape of the actively compensated pulse can be carried out on the software. (A) shows the real (red line) and the imaginary (green line) component of an example of the target pulse shape t>,(f). Its leading and the trailing edges have a cosine shape with a transition time of 1.25 xs in 50 steps, and the width of the plateau is 5 ps. (B) Laplace transformation B(s) multiplied by the Laplace transformed step function U(s). (C) It was then divided by the Laplace transformation Y(s) of the measured step response y(t) of the proton channel of a 3.2-mm Varian T3 probe tuned at 400.244 MHz to obtain V(s). (D) Finally, inverse Laplace transformation was performed on V(s) to obtain the compensated pulse that results in the RF pulse with the target shape. Time resolution was 25 ns, and o = 20 was used for the Laplace and inverse Laplace transformations. Figure 23 Calculation of the shape of the actively compensated pulse can be carried out on the software. (A) shows the real (red line) and the imaginary (green line) component of an example of the target pulse shape t>,(f). Its leading and the trailing edges have a cosine shape with a transition time of 1.25 xs in 50 steps, and the width of the plateau is 5 ps. (B) Laplace transformation B(s) multiplied by the Laplace transformed step function U(s). (C) It was then divided by the Laplace transformation Y(s) of the measured step response y(t) of the proton channel of a 3.2-mm Varian T3 probe tuned at 400.244 MHz to obtain V(s). (D) Finally, inverse Laplace transformation was performed on V(s) to obtain the compensated pulse that results in the RF pulse with the target shape. Time resolution was 25 ns, and o = 20 was used for the Laplace and inverse Laplace transformations.
The factor of 2n is sometimes evenly assigned as a factor (27i)1/2 for both the forward and inverse transforms. Remember exp(zkx) = cos(fcx) + i sin(fcx). There are real (cosine) and complex (sine) versions of the transform. If the function is three-dimensional, the transform becomes... [Pg.102]

In Eq. (4.14), (a =x, y, z) must be considered as functions of the normal coordinates Q and the inversion coordinate p are the direction cosines between the molecule and space-fixed system of axes which are functions of the Euler angles 0, 4>, X only. [Pg.82]

Figure 7. The cosine of the simulated contact angle is plotted here as a function of the ratio eg, I Egg of the gas-solid and the gas-gas interaction well depths for a Lennard-Jones gas over a solid with an inverse 9-3 potential The two curves are for two values of the temperature T = 0.7 and 0.9. (The lower T gives the steeper curve.) From Ref. [30], Mol Phys. 73 (1991) 1383-1399. Figure 7. The cosine of the simulated contact angle is plotted here as a function of the ratio eg, I Egg of the gas-solid and the gas-gas interaction well depths for a Lennard-Jones gas over a solid with an inverse 9-3 potential The two curves are for two values of the temperature T = 0.7 and 0.9. (The lower T gives the steeper curve.) From Ref. [30], Mol Phys. 73 (1991) 1383-1399.
Integral transforms were discussed, including Fourier and Laplace transforms. Fourier transforms are the result of allowing the period of the function to be represented by a Fourier series to become larger and larger, so that the series approaches an integral in the limit. Fourier transforms are usually written with complex exponential basis functions, but sine and cosine transforms also occur. Laplace transforms are related to Fourier transforms, with real exponential basis functions. We presented several theorems that allow the determination of some kinds of inverse Laplace transforms and that allow later applications to the solution of differential equations. [Pg.185]

An obvious solution to minimize the number of grid points NK is to introduce symmetry. Consider for example an inversion point such as the point x = 0 in the harmonic oscillator. The eigenfunctions can be classified as being either even or odd with respect to parity i j(<7) = i i(— < ) one restricts the calculation to one class of functions the computational effort can be reduced by a factor of 2 by using a fast cosine transform for even functions and a fast sine transform for odd functions (52). The same symmetry considerations should work for other types of grids. [Pg.212]

We can now plot these concentration functions so that we can see how a reaction system of this kind would behave in time. To do this we will assume that the concentrations of the products are both zero at time zero and that the initial concentrations of the two reactants are both equal. Also, in order to make the behavior general, we will plot the change in the ratio of the concentrations of the reactants to an initial concentration of one of the reactants Cao. We can go one step further and normalize the time coordinate with the "inverse reaction time." What is that in this case Well, for a first-order reaction rate constant, its dimension is the reciprocal of time, that is, inverse time. Thus, in essence for the first-order case, the rate constant is the inverse of the characteristic time for the chemical reaction. Therefore if we multiply the rate constant k by real time t the result is dimensionless time, which we shall refer to as r. In fact we already had this result in hand. Look back at the expression for the change in concentration of A with time. We notice that the RHS has an exponential term, the argument of which is the product k t. Because the exponential is a transcendental function, such as sine, cosine, etc., the argument must be a pure number that is dimensionless. Thus the solution of the differential equation that leads to this result naturally generates the dimensionless time r simply as an outcome of the solution procedure. [Pg.304]

Integrals of e qmnential and trigonometric functions appear so frequently, they have become widely tabulated (Abramowitz and Stegun 1965). These functions also arise in the inversion process for Laplace transforms. The exponential, sine, and cosine integrals are defined according to the relations ... [Pg.156]

If the reactor is not vertical, there is no longer the question of stability-there is always convection. Bazile et al. studied descending fronts of acrylamide/bis-acrylamide polymerization in dimethyl sulfoxide (DMSO) as a function of tube orientation [81], The fronts remained nearly perpendicular to the vertical but the velocity projected along the axis of the tube increased with the inverse of the cosine of the angle. [Pg.53]

Only one kind of function has a constant value for the wavelength a pure sinusoidal wave (which includes the functions sine, cosine, and e ). Therefore, the only states that are eigenfunctions of K are waves of the form sin(/cx + (f>), where the wavenumber k is inversely proportional to the wavelength. [Pg.87]

Let us assume that f s) is an even function and note the relation that exp( 2jii50 = cos 2%st i sin 2%st. Then, exp( 23ti5 t) in Equations (Dla) and (Dlb) can be replaced with cos 2%st, because the part of the integrand containing sin(2)Wt) is an odd function with respect to either s or t, and the integration of this part from -oo to oo tends to zero. As a result, the following two equations are obtained, and the Fourier transform in this expression is called the Fourier cosine transform. In this expression, no distinction exists between the Fourier transform and its inverse transform. [Pg.348]


See other pages where Cosine function, inverse is mentioned: [Pg.164]    [Pg.45]    [Pg.10]    [Pg.712]    [Pg.138]    [Pg.30]    [Pg.712]    [Pg.453]    [Pg.59]    [Pg.30]    [Pg.192]    [Pg.32]    [Pg.516]    [Pg.529]    [Pg.207]    [Pg.281]    [Pg.410]    [Pg.163]    [Pg.215]    [Pg.171]    [Pg.257]    [Pg.272]    [Pg.171]    [Pg.171]    [Pg.427]    [Pg.9]    [Pg.39]    [Pg.559]    [Pg.1103]    [Pg.197]   


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