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Figure 2.25 Af nity chromatography. Column associated ligands speci cally recognize their target analyte molecule of interest, and the target is immobilized on the column by selective binding. The target analyte may be eluted by a variety of methods such as high salt concentrations, pH change or competitive elution with an alternate target for the ligand.

2.5 13.7 6-blade RT/In situ (photograph)

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(4.48a)

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Because of the repetition of values of aik in the definition of the Fourier transform, a straightforward evaluation of the Fourier Transform components may multiply the same sample value by the same (xik term several times in carrying out the calculations For a long transform this may lead to considerable inefficiency This problem is well-known in the realm of complex DFTs and the usual solution is the Cooley-Tukey fast Fourier transform The FFT is a consequence of the linearity and time shift properties of the DFT Usually the number of samples is an integer power of 2 and the procedure, properly called a radix-2 Cooley-Tukey FFT, is as follows: Split the series of n samples into an even series (samples 0, 2, 4, ..,n 1) and an odd series (samples 1, 3, 5, .., n} Take the DFT of each of the two series.

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so that a 164 lattice at p = 6 represents a periodic box of total width 1.76 fm, with a distance resolution of about 0.1 fm. The agreement of the calculations for different values of p is interpreted as evidence for scaling behavior when /3 3 5.7, and hence for the recovery of a continuum theory; there is some evidence of asymptotic scaling for p 2 6 . These results may be compared with the phenomenological qq potential of Fig. 12.20.

The DFT of the odd series will assume a time origin of sample 1, although the true time origin for the whole series is at the time of sample 0 Therefore multiply the values of the odd series by appropriate complex exponential values to align the time origins of the odd and even series Fourier-transform the n/2 two-point series formed by a single point of the even and odd transforms Each of the shorter DFTs can be evaluated by the same procedure, so that a long DFT can be decomposed into a number of 2-point DFTs The same considerations apply to finite field Fourier transforms, except that the lengths of the transforms are one less than an integer power of 2 Nevertheless, there is no reason why transforms should not be decomposed into other basic lengths, or even mixtures of lengths, provided the length of the transform factorizes.

If g(X) is irreducible (i.e. it has no binary factors), n is the lowest possible value such that Xn + 1 is a multiple of some polynomial g(X) and n = 2n-k 1 where n - k is the degree of g(X), then the polynomial g(X) is a generator for a Hamming code in cyclic form. The Hamming code polynomials are of wider importance in the theory of block codes and are called primitive polynomials. Table 4.1 lists primitive polynomials of degree 8 or less. For every polynomial listed here, the polynomial representing the same bit pattern in reverse is also primitive. For

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