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Digital Signal and Image Processing Final Exam, Semester 2 - 2014

Swinburne Higher Education Exam Paper SWIN BUR · NE * SWINBURNE UNIVERSITY OF TECHNOLOGY Examination Cover Sheet SEMESTER 2, 2014 EXAMI NATI ON DETAILS Unit Code: EEE40003 Faculty: FSET Unit Title: Digital Signal & Image Processing Duration: 180 Min mins Reading time: 10 Min 70% of overall assessment covered by this exam CANDI DATE DETAILS Student to complete (please print & do not use pencil) ID: Surname: Given: CANDI DATE DECLARATION · I am the person stated above · I agree to obey the Examination Supervisors instructions for proper conduct of the exam · I have read and understood the Instructions to Candidates provided (see back of this exam paper) . I understand that it is my responsibility to ensure that I have been correctly enrolled for the above subject and that I am fully liable for any outstanding fees and charges · I am aware that I am not allowed to present for any special examination unless approval has been granted by the appropriate Swinburne authority STUDENT SIGNATURE: DATE: INSTRUCTIONS TO CANDI DATES Material/ equipment that is not on this list is unauthorised material. Where a student is found in possession of any unauthorised material, the material will be removed as soon as it is detected. A report on the incident will be forwarded to the Chief Examiner in accordance with the Student Academic Misconduct Regulations. Materials Allowed: (Convenor please select from the drop down boxes below or add free text to other) Calculators: Programmable/Graphic Calculators Books: None Dictionaries None OTHER: Answering Instructions: Answer all questions Answer questions 1 to 4 in the Script book provided Answer questions 5 to 8 in the spaces provided in this exam paper Total marks: 180. If you complete this exam before the set exam duration time, you may be asked to enter your time of departure. This information will have no bearing on your result. Swinburne University of Technology Faculty of Science, Engineering and Technology EEE40003 Digital Signal and Image Processing Final Exam, Semester 2 - 2014 Page 1 of 2