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One of the main uses of Kronecker products, at least for our purposes, is that they allow us to replace matrix operations by vector operations, as we saw repeatedly in the body of the chapter. The following is a list of some of the useful properties of Kronecker products, with property (vi) being the one that we used the most in our development.

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17 Tasca DM, Peden JC, Miletta J Non-destructive screening for thermal second breakdown IEEE Transactions of Nuclear Science 1972;NS-19:57 67 18 Dutton RW Bipolar transistor modeling of avalanche generation for computer circuit simulation IEEE Transactions on Electron Devices 1975;ED-22:334 8 19 Ward A An electrothermal model of second breakdown IEEE Transactions of Nuclear Science 1976;NS-23:1679 84 20 Gaur S, Navon D, Teerlinck R Transistor design and thermal stability IEEE Transactions of Electron Devices 1976;ED-20:527 34 21 Ghandi SK Semiconductor power devices New York: John Wiley and Sons; 1977 22 Koyanagi K, Hane K, Suzuki T Boundary conditions between current mode and thermal mode second breakdown in epitaxial planar transistors IEEE Transactions of Electron Devices 1977;ED-24:672 8 23 Yee J, Orvis W, Martin L, Peterson J Modeling of current and thermal mode second breakdown phenomenon Proceedings of the Electrical Overstress/Electrostatic Discharge (EOS/ESD) Symposium, 1982 p 76 81 24.

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idea is to compete with all the noise of traffic and to keep you awake on your drive to and from work. But this is not the type of programming you really want to listen to all day long (see the Compression: How Much Is Enough sidebar). If your original audio file is well recorded, you should have peaks in the -3dB to -6dB range. Choosing a threshold in the -6dB to -10dB range is a safe starting point. This way, you re only compressing the loudest sections of your file, leaving most of your file untouched. If you find yourself dropping your threshold much below that, you may consider revisiting your signal chain to figure out why your recording is so quiet in the first place.

The Control Phase The last phase of DMAIC is control, which is the phase in which we ensure that the processes continue to work

Orvis WJ, McConaghy CF, Yee JH, Khanaka GH, Martin LC, Lair DH Modeling and testing for second breakdown phenomena Proceedings of the Electrical Overstress/Electrostatic Discharge (EOS/ESD) Symposium, 1983 p 108 17 25 Domingos H Basic considerations in electro-thermal overstress in electronic components Proceedings of the Electrical Overstress/Electrostatic Discharge (EOS/ESD) Symposium, 1980 p 206 12 26 Ward AL Calculations of second breakdown in silicon diodes at microwave frequencies Proceedings of the Electrical Overstress/Electrostatic Discharge (EOS/ESD) Symposium, 1983 p 102 7 27 Hassan MMS, Domingos H The double graded transistor and its bene cial effect on resistance to current mode second breakdown Proceedings of the Electrical Overstress/Electrostatic Discharge (EOS/ESD) Symposium, 1989 p 127 35 28 Kirk CT A theory of transistor cutoff frequency (ft) falloff at high current densities IRE Transaction of Electronic Devices 1962;ED-9:164 74 29 Early JM Maximum rapidly-switchable power density in junction triodes IRE Transactions on Electronic Devices 1959;ED-6:322.

Flat SVD Spectrum. As discussed in Section 10.5, multiplex sampling strategies may be evaluated according to the structure of the singular value spectrum. The effective number of measurements in a generalized sampling system is more reasonably related to the number of singular values above a noise oor than to the number of optoelectronic detector values recorded. Restricted Isometry Property (RIP). Where the singular value spectrum re ects on the quantity of measurements recorded, the structure of the singular vectors re ects on the quality of the data. Measurement systems must separate distinct signals into distinct measurement data consistent with the RIP discussed in Section 7.5.

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