rdlc data matrix

rdlc data matrix

rdlc data matrix

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the need for the separate frequency filters required in the conventional analog approach. Once the signals have been separated in this way, the original modulated-carrier waveforms may be recovered through the use of SAW inverse Fourier transformers. In a practical transformer, continuous operation can only be achieved by repetitive cycling of the transformation process. As a result, the output is periodic, and the observation interval has to be chosen to correspond to the desired spectral interval. Also, the periodic interval over which transformation takes place results in a broadening of the output pulses which represent the FDMA spectra. Repetitive operation of the Fourier transformer at a rate equal to the data bit rate will produce a suitable repetitive output. The relative positions of the output pulses will remain unchanged, fixed by the frequencies of the FDMA carriers. The PSK modulation on the individual FDMA carriers appears in the phase of the carriers within each output pulse. Thus the FDMA carriers have been converted to a pulsed TDM signal. Further signal processing is required before this can be retransmitted as a TDM signal. Figure 14.26 shows the output obtained from a practical Fourier transformer for various input signals. For Fig. 14.26a the input was seven continuous-wave (CW) signals applied in succession. The output is seen to be pulses corresponding to the line spectra for these waves. The broadening of the lines is a result of the finite time gate over which the Fourier transformer operates. It is important to note that the horizontal axis in Fig. 14.26 is a time axis on which the equivalent frequency points are indicated.

which is equivalent to t > 4 or t < 2. v = 0 if and only if t = 2 or t = 4. Hence v < 0 when 2 < t < 4.

That is if VarA1 has the dimension [R1,C1] and VarA2 has the dimension [R2,C2] then multiplication is possible only if C1=R2 The resulting array VarA3 will have the dimension [R1,C2] Also, the elements of VarA1 and VarA2 must be numeric MInvert VarA1,VarA2,Var This will calculate the inverse of array VarA1 and assign it to VarA2, and also the determinant of VarA1 will be assigned to Var This is equivalent to saying VarA2 = inverse(VarA1) and Var = det(VarA1) VarA2 does not have to exist, but if it does it will be erased and recreated VarA1 must be two-dimensional and a square matrix That is, the number of rows must equal the number of columns All elements in VarA1 must be numeric If VarA1 is not invertible then Var = 0 and elements of VarA2 will be all zeros.

Figure 14.26 Prototype chirp transform of (a) seven successive CW input signals and (b) three simultaneous input signals, including CW and pulsed RF. 200 ns/div; 31.5 MHz./s chirp rate. (Courtesy of Hays and Hartmann, 1976. Copyright 1976, IEEE.)

Figure 1426b shows the output obtained with three simultaneous inputs, two CW waves and one pulsed carrier wave Again, the output contains two pulses corresponding to the CW signals and a time function which has the shape of the spectrum for the pulsed wave (Hays and Hartmann, 1976) A detailed account of SAW devices will be found in Morgan (1985) and in the IEEE Proceedings (1976) 149 Satellite-Switched TDMA More efficient utilization of satellites in the geostationary orbit can be achieved through the use of antenna spot beams The use of spot beams is also referred to as space-division multiplexing Further improvements can be realized by switching the antenna interconnections in synchronism with the TDMA frame rate, this being known as satellite-switched TDMA (SS/TDMA) Figure 1427a shows in simplified form the SS/TDMA concept (Scarcella and Abbott, 1983).

MDeterminant VarA1,Var This will calculate the determinant of array VarA1 and put it in Var This is equivalent to saying Var = det(VarA1) VarA1 must be two-dimensional and a square matrix That is, the number of rows must equal the number of columns All elements in VarA1 must be numeric MTranspose VarA1,VarA2 This will transpose VarA1 and put the result in VarA2 VarA2 does not have to exist, but if it does it will be erased and recreated VarA1 must be two-dimensional VarA2 is the transpose of VarA1, that is, VarA2[i,j] = VarA1[j,i] MRegression VarA,Var1,Var2 This will perform a regression analysis (line t) on the data in VarA VarA must be two-dimensional and all data must be numeric The rst row contains the x values, and the second row contains the y values There must be a y value for each x value.

(c) a > 0 when t > 3, and a < 0 when t < 3. (d) Assuming that s increases to the right, positive velocity indicates movement to the right, and negative velocity movement to the left. The object moves right until, at t = 2, it is at s = 20, where it reverses direction. It then moves left until, at t = 4, it is at s = 16, where it reverses direction again. Thereafter, it continues to move right (see Fig. 22-2).