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This project carries 50% of your ?nal mark. Please hand in your work to the Mathematical and Physical Sciences School O?ce, no later than 4pm Monday 21st January 2013.
Please ?ll in a cover form as well.
Place ?nal answers in spaces provided and attach any requested ?gures (with title, labels and legends) and additional paper used. You might want also to attach the MATLAB algorithms so that it will be easier to mark and test your algorithms.
PLEASE PUT YOUR NAME AND STUDENT NUMBER ON ALL ADDITIONAL SHEETS ATTACHED.
Aims of the project
At the end of the project, you should be able to (i) convert mathematical equations into Matlab programs, (ii) test the programs, (iii) plot functions, (iv) carry out some simple investigations and make conclusions about your ?ndings.
Mathematical ideas used The aim of this project is to measure how deep your MATLAB programming skills are. The requirement is to transform mathematical problems into computer algorithms to facilitate easy and fast calculations as well as introducing you to some new mathematical concepts such as
Variable number of output arguments: The variable number of output arguments can also be identified. For illustration, the one input argument is passed to the below function t
Analytical solution
Random numbers: Whenever a program is being written to work with a data, and the data is not yet available, it is frequently useful to test the program first by initializing t
Use MATLAB and a method based on linear predictive coding for the restoration of a clipped voiced speech signal. My proposed algorithm is based on linear prediction where a reco
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MATLAB. • MATLAB Programming; • Simulation in MATLAB.
Complete assignment as per attached word doc. Include function files along with Matlab assignment file.
Solve for unknowns 'x' and 'y' from Equations (1) and (2) using MATLAB. (However, if MATLAB is not the appropriate software to solve these two simultaneous equations, please sugges
Adaptive filters can also be used in other applications. Speech recognition, for example, is performed in a non-stationary environment, and therefore may require adaptive filtering
can we use regression in bioinformatics toolbox?
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