ADVANCED SIGNAL PROCESSING
Credit points: 15
In this subject, students explore advance digital signal processing (DSP) by analysing and solving problems in real world digital signal systems. Students first study the necessary analytical DSP skills including fast Fourier transform, discrete cosine transform, spectrum analysis and digital models of speech, and then apply these tools to audio, communication systems and image processing applications by analysing and implementing linear predictive codes, polyphase filters and finite and infinite impulse response filters. This subject provides excellent exposure of DSP to students wishing to pursue a career in fields involving digital audio, communication and image processing.
FacultyFaculty of Science, Tech & Engineering
Subject Co-ordinatorDennis Deng
Available to Study Abroad StudentsYes
Subject year levelYear Level 4 - UG/Hons/1st Yr PG
Prerequisites ELE2CIR or Admission into SMELE or SMTNE
|Resource Type||Title||Resource Requirement||Author and Year||Publisher|
|Readings||Digital signal processing,||Prescribed||Mitra, S.||2ND EDN, MCGRAW HILL, 2001.|
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Melbourne, 2014, Semester 1, Day
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorDennis Deng
One 2.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Two 1.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
|assignment equivalent to 750-words||15|
|laboratory report equivalent to 750-words||15|
|one 2-hour examination||50|
|one programming project 1,000-words||In order to pass the unit students must obtain an overall pass grade, pass the examination and pass the practical work.||20|