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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?
Relational Expressions: The Conditions in if statements use expressions which are theoretically, or logically, either true or false. These expressions are termed as relational
Plot way forms for the following modulation schemes using Matlab: a) 2 ASK b) BFSK c) BPSK 4 ASK
Problem: Consider a trapezoidal piece of polymer film as shown below. The parallel sides of the trapezoid are insulated and the temperature of the bottom and diagonal sides are f
Project: "An Efficient Human Identification Using Gait Analysis" I want apply/follow the same methodology (Methods/Algorithms) for this paper ("Human Gait Recognition Using Bezi
why after i crop part of a tiff image the cropped image is of different pixel resolution
Expressions: The Expressions can be formed using values, variables which have already been formed, operators, parentheses, and built-in functions. For numbers, these can invol
I need my data mining assignment done. Can you guys help me with that?
Your task is to implement the PHYSAT algorithm in Matlab to classify the phytoplankton species in the data you have selected. An algorithm demonstrating one solution is provided b
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