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Use the MATLAB randn function to generate 1000 points for x. Generate the output of the unknown system with the ?lter function and b=[1232 1] and a=[1]. Normalise the ?lter output so that its variance is unity, i.e. y = y./sqrt((sum(b.*b)); call the randn function again to generate 1000 points for the measurement noise, scale the values by 0.1 and add them to [ ], and calculate the Signal-to-Noise Ratio (SNR) in dB for y[k] (The power of zero mean white noise is 2 ; when a noise signal is scaled its standard deviation, i.e , gets scaled by the same factor).
- Use the xcorr function to estimate the cross-correlation and autocor relation elements to form Rxx and Pzx.
- Solve for the optimum Wiener ?lter. Is it close to that of the unknown system?
- Repeat the experiment by varying the scaling applied to the additive noise to 1.0 and 10.0, re-calculate the SNR for each case. What is the effect upon the Wiener solution? What happens if w is assumed to be greater than 4?
please send the matlab program to find mean,variance,standard deviation and kurtosis for a set of values?
Matlab Programming Vector Algebra : Create a program package for calculation of distances and intersections of lines and planes. Plot the results in a graphical representation
Write a function called threshold2 (in a file called 'threshold2.m'). The function takes an arbitrary number of input variables. The first input variable, t, is required and is the
drow midpoint circle for scan converting acircle in matlab
La proporción de empleados de una empresa que usan su auto para ir al trabajo es 5:16. Si hay un total de 800 empleados
An individual with $10,000 to invest has identi?ed three mutual funds as attractive opportunities. Over the last ?ve years, dividend payments (in cents per dollar invested) have be
How to Start Working withSimpower: 1. In the Simulink screen, open a new "Model" (File àNewà Model), name it and save it. 2. Expand the SimPowerSystems library, select and
Generates sin or cos wave using plot functions: The script generates an x vector; iterating through all the values from 0 to 2*π in steps of 2*π /40 gives sufficient points to
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(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
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