The unit introduces the fundamentals of statistical signal processing with emphasis on stochastic models, estimation theory, parametric and non-parametric modelling and least squares methods. After a review of basic probability and random processes, the use of stochastic models for real world signals is illustrated. A family of algorithms for the creation, efficient representation and effective modelling is presented. Specifically, linear stochastic models are presented and the importance of correlation structure in deriving the parameters of such models is illustrated. The unit also covers how parametric and non-parametric models as well as statistical techniques are used to extract information from data signals corrupted by noise. The concept of estimation from real world data is presented, as opposed to the basic analysis of signals, transfer functions and power spectra. In particular, the fundamentals of linear estimation theory and optimal filtering to design advanced signal processing algorithms are presented.
The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.
Simulate a wide range of stochastic signal processing algorithms and interpret the results
Analyse the performance of a range of estimation methods
Design specific algorithms for processing real world signals such as audio, financial data and biomedical data.
Describe various models for real world signals
Company
About UsMetaverse ClassroomNews & BlogJR CareersBecome a MentorOur MentorsContact UsJR Store J3.ClubResources
Job ReferralsEvents1-on-1 TutoringIndustry WhitepapersOnline LearningInterview CenterShare Interview ExperienceInternshipMembershipImmigration Services
Australia ImmigrationSkilled Visa 189/190/491Employer Sponsored 482/186/494Business Visa 188/888UK ImmigrationUS ImmigrationCanada ImmigrationEnterprise
P3 Career IncubatorEnterprise (EN)Corporate TrainingInternship PartnershipRecruitment PartnershipApply for PartnershipTop Categories
Web Full-Stack BootcampDevOps BootcampData Engineering BootcampData Analysis BootcampCoding for BeginnersBusiness Analyst InternshipAlgorithm BootcampCareer Services
BA & PM InternshipData Science InternshipData Analysis InternshipMarketing InternshipResume ReviewInterview CoachingVIP Mentor GuidanceAddresses
Level 10b, 144 Edward Street, Brisbane CBD(Headquarter)Level 2, 171 La Trobe St, Melbourne VIC 3000四川省成都市武侯区桂溪街道天府大道中段500号D5东方希望天祥广场B座45A13号Business Hub, 155 Waymouth St, Adelaide SA 5000Disclaimer
JR Academy acknowledges Traditional Owners of Country throughout Australia and recognises the continuing connection to lands, waters and communities. We pay our respect to Aboriginal and Torres Strait Islander cultures; and to Elders past and present. Aboriginal and Torres Strait Islander peoples should be aware that this website may contain images or names of people who have since passed away.
All content on the JR Academy website, including course materials, logos, and information provided, is protected under Australian intellectual property laws. Unauthorized use, sale, distribution, reproduction, or modification is strictly prohibited. Violations may result in legal action. By accessing our website, you agree to respect our intellectual property. JR Academy Pty Ltd reserves all rights, including patents, trademarks, and copyrights. Any infringement will be subject to legal prosecution. View Terms of Service
© 2017-2026 JR Academy Pty Ltd. All rights reserved.
ABN 26621887572
