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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?
Calculating and Visualizing Sequence Statistics Follow the instructions in this demo file to download a sequence and calculate and visualize its statistics. Save all the command
Answers should be submitted in an MS Word document. Simulations should accompany answers in a separate MATLAB file. 1) Queuing Simulator: Consider a communications router that
The Programming Concept: In most of the programming languages, random function returns a real number; therefore the real number would then have to be rounded to produce a rand
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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
Illustration of modifying the matrix elements: If a single index is used with the matrix, the MATLAB unwinds the matrix column by column. For illustration, for the matrix intm
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
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Illustration of a built-in function: The length function is an illustration of a built-in function which computes a single value; it returns the length of a vector. As an illu
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