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Write a MATLAB program (using/making the necessary functions that you deem necessary) that does the two following jobs:
It generates the following digital modulation schemes. In each case, the program should visualise the M possible waveforms, each drawn over symbol duration (T), of the chosen modulation scheme. The program asks the user to enter both M and the Type of modulation at the beginning. The program returns the waveforms (with your suitable choice of amplitude and symbol time, T, as to make the plots clear).
(1) MASK.
(2) MPSK.
(3) MFSK.
(4) MQAM.
Then the program asks the user to enter a sequence of bits. The program returns the sequence of symbols that correspond to this bit sequence (according to M) and plots the waveforms corresponding to each of these symbols.
1) Convert the table into format convenient for the processing with MATLAB. 2) Prepare a program that perform K Nearest Neighbours algorithm using Euclidian distance. (Your prog
matlab programming
A 300 km, 3-phase, 50Hz transmission line has spacing as shown in Figure 2. Each phase of the line consists of a bundle of three conductors. (a) Find the total per-phase induct
(a) Find the spectrum of this waveform: x = [ exp( -[0:1:49]/10), exp(-[50:-1:1]/10)]. Subplot only the magnitude by using the spectrum program from the class notes. (b) Using
Goal: Learn how to do statistics, sorting and curve fitting in Matlab. Put all of those ".m" files in a folder called yourname_lab7, and zip the folder and submit it on the class w
generation of afunction y=t
The fuel consumption of a certain make of car may not be exactly that rated by the manufacturer. Suppose ten cars of the same model were tested for combined city and highway fuel c
Looping Statements: Consider the problem of computing the area of a circle with radius of 0.3 centimeters-a MATLAB program certainly is not required to do that; you would use
1. Write a function to threshold your images separating the background from the foreground: Implement the "peakiness" detection algorithm described in class. The output of your
Create a text file with simulated data. Calculate an experimental y using the first function and some reasonable values for the parameters Add noise Save the x values and ca
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