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As with OQPSK, MSK is an offset constant-envelope modulation, but MSK has the additional advantage that it is phase continuous, and therefore even the 90 shifts of OQPSK are eliminated In fact, it is readily seen from Eqs (741) and (742) that in each T -second interval, the phase of the signal moves ahead of or behind the carrier phase at a constant rate for a total excursion of exactly /2 radians over the interval The phase continuity of MSK results in a signal spectrum with tails somewhat lower than those of OQPSK The power spectral density G(f ) for MSK modulation is given [Pro01] by 16A2 T cos 2 f T 2 G(f ) = 2 1 16f 2 T 2 where A is the amplitude of the MSK signal Figure 723 shows the normalized power density spectra for BPSK, QPSK, OQPSK, and MSK.

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As can be seen in the gure, MSK has lower sidelobes than QPSK or OQPSK, but the main lobe of the MSK spectrum is broader At the 3-dB power points, the MSK main lobe is about 30 per cent wider than that of QPSK GMSK Murota and Hirade [Mur81] observed that the MSK signal spectrum could be made even more compact, and the spectral skirts lowered further, by implementing the modulation in its direct FM form with a low-pass lter applied to the data stream before modulation This technique provides a smoothing of the phase transitions at symbol boundaries; and because the ltering is done before modulation, the constant-envelope property of the signal is preserved The speci c lter characteristic proposed by Murota and Hirade is the Gaussian low-pass lter This modulation technique, shown in Fig 724, is called Gaussian ltered MSK or simply Gaussian MSK (GMSK).

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The rapid roll-off achievable with Gaussian lters provides spectra that are more compact than that of strict-sense MSK Because the transform of a Gaussian function is also Gaussian, the impulse response of the premodulation lter is Gaussian The tails of the Gaussian time-domain function remain above zero, and this results in some intersymbol interference The choice of roll-off characteristic for the Gaussian lter involves a trade-off between spectral con nement and performance.

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This indicates that the time evolution of the momentum is given by the Lorentz force. Since we are not considering the total force on the right-hand side, but just the external force, the electron momentum here clearly cannot be the true momentum. It is called the quasimomentum or crystal momentum. As described below, these two governing equations are solved self-consistently, and sequentially with the Poisson equation in Monte Carlo simulations using a single-particle approach, or a collective approach as with the BTE. For such Bloch electrons, with the modulated plane-wave functions, the E(k) relationship is no longer perfectly parabolic and the equienergy surfaces are not exactly spherical. However, invoking the effective mass theorem, they are approximately so near the band edges. The details of the effective mass are described next. We start by considering the time derivative of the electron velocity given by semiclassical dynamics, in order to determine the acceleration of the electrons.

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(a) S33 relocated on Smith chart after one arm or branch is (b) S33 vs. f curves for each location of S33 on inserted into the impedance matching network Smith chart in the adjacent left hand side

The new features in the Insert Bends method are the Flatten Bends and Process Bends features. The way the Insert Bends method works is that the model that is built with the sharp-cornered nonsheet metal feature is flattened by the Flatten Bends feature. The model is then reconstructed with bends by the Process Bends feature.

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