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1. What factors should be considered when selecting a digital encoder (line codes)? Briefly mention five of those factors. Use sketches and additional text to describe the following encoding techniques: NRZ-L, Bipolar-AMI, Manchester, HDB3, B8ZS and 4B/5B. Your description of each technique should include the encoding rule, advantages and disadvantages. No mathematical equations are necessary.
Give explanation about Stored Program Control. Stored Program Control: In this centralized control, all the control equipment is replaced through a single processor that must
Database marketing tool or application helps a user or marketing professional in determining the right tool or plan for his valuable add campaign. This tool haves data from all sou
Classify data networks. Data Network Classifications: Data Networks are classified as per to their geographical coverage: - Wide area networks (WANs) - Metropolitan ar
Perceptrons: However the weights in any ANN are usually just real numbers and the learning problem boils down to choosing the best value for each weight in the network. Becaus
TCP and UDP are both transport-level protocols. TCP is designed to give reliable statement across a variety of reliable and unreliable networks and internets. UDP gives a conne
Disadvantages 1. The X12 standard is so large and general 2. EDI communications negotiate a technical agreement to explain exactly what subset of EDI they will use
Q. What is Input - Output Instructions? An I/O instruction is stored in memory of computer and is fetched as well as executed by processor producing an I/O-related command for
Sigmoid units: Always remember that the function inside units take as input the weighted sum, S and of the values coming from the units connected to it. However the function i
Can math operations be performed on a void pointer? No. Pointer addition and subtraction are based on advancing the pointer by a number of elements. By explanation, if you have
For each of the three datasets (data1.txt, data2.txt, and data3.txt in bnhw2q2.zip), cluster the data using k-means in Matlab, with k=2, 3, 4 and 5 using the provided Matlab script
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