This work and all earlier assignments must be completed by Wednesday, May 19th: Save all your work on your own work disc! Task 9: Digital Data Formats: Parallel-to-Serial Conversion Digital information may be represent in two distinct data formats -- 'serial' and 'parallel.' Within a computer, say, to maintain the most rapid internal communication rate, each information bit is in carried on a single connection (wire).

Thus, an informational word or bit configuration is carried on multiple connections in parallel (typically 4 parallel bits - a nibble, 8 parallel bits - a byte, 16 parallel bits, or 32 parallel bits). On an external communication channel, however, the informational word is carried in serial on a single connection (wire) as a time synchronous bit sequence.

Closed loop controlled power systems within the MATLAB/SIMULINK environment, is presented. Rectifiers, no SIMULINK models of power thyristors. For the purpose of testing the parallel or serial association feature (displacement angle 0), a four quadrant thyristor converter (fig. 11a) field power supply for a. Parallel- in, Serial- out Shift Register. The parallel- in/ serial- out shift register stores data, shifts it on a clock by clock basis, and delays it by the number.

To communicate between computers we must be able to convert data formats from parallel-to-serial and from serial-to-parallel. Here we study how that conversion may be achieved. • Subtask 9a: An important single bit memory element. First we need to learn about 'D Flip Flops.' A D-FF is an very useful device for use in formatting digital signals. First examine and then build the following Simulink.

The inputs to the D-FF are labelled 'D', 'CLK' and '!CLR'. The outputs are labelled 'Q' and '! Ghost32 Exe 11. Q'. Game Nfh 3 here. Set your simulation parameters as follows: solver = fixed step/discrete; step = 1; and stop time = 99999999.

Start the simulation. Notice that: • When!CLR = 0, Q = 0 and!Q = 1, no matter what the other inputs may be -- i.e.,!CLR = 0 'clears' or 'resets' the outputs. • When!CLR = 1, Q becomes equal to D at the moment when CLK 'rises' from 0 to 1. At all other times Q is independent of D. Thus, we see that Q remembers the value of D at the moment when CLK rises from zero to one! Be sure that you believe this assertion.

• Subtask 9b: A bit shift element. To keep things as simple as possible, we will now use two D_FFs to convert two parallel bits into a time sequence of two bits.

Examine and then build the following Simulink. In this configuration you will see that the 'word' [D1 D2} is saved as a parallel word [Q1 Q2] on rising CLK when the 'control' switch is in the lower position. However, when the 'control' switch is in the upper position, you will observe that the bit in Q1 is shifted to Q2 on rising CLK and we have the basic element of a parallel-to-serial converter. Set your simulation parameters as in Subtask 7a. • Subtask 9c: A shift register. Build and test the following parallel-to-serial shift register.

Set your simulation parameters as in Subtask 7a. Wonder Woman 1975 English Subtitle. • Subtask 9d: Digital encoding of an analog signal. Finally lets put it all together. Please build and study the following which takes in an analog signal (perhaps an analog sample such as you obtained in Tasks 5 and 6) and converts it to a serial or time sequenced digital signal. Set your simulation parameters as in Subtask 7a. To get the A-to-D converter 'sg_adconv4' go Task 10: A Study of Video Signals In lecture we discussed various ways in which visual information may be displayed on a video display.

In this discussion, we review some of the important ideas involved in video processing such as scanning, pixels, spatial harmonics, luminance, horizontal and vertical ramp signals. The general objective of this task is help you gain some insight into these and other video notions. To this end, I would like you build and study the following three configurations: •: a test set up for non-localized spatial harmonics •: a test set up for localized spatial harmonics •: a test set up for arbitrary spatial patterns The heart of these model systems is the MATHLAB function video129. After you and include it in the, you can read its file header which explains in detail how the function works or you can review its operation at any time by writing 'help video129' in the MATLAB Command Window.