University of Southern California
USC Ming Hsieh Department of Electrical Engineering - Computer Engineering USC Viterbi School of Engineering
 
Signal and Image Processing Classes
Signal and Image Processing Tracks
Information for MS Students
Information for Ph.D. Students
   

  
 Signal and Image Processing Classes  

The USC EE-Systems Department offers many detailed classes in the area of signal and image processing. As an aid for planning your coursework, we provide two time-lined course flowchart PDF files. First semester (Spring): SprFlowchart (Fall): FalFlowchart

List of Signal and Image Processing courses and syllabuses:

 Image Processing Courses

 Syllabus
 EE 401: Transform Theory for Engineers  View
 EE 441: Applied Linear Algebra for Engineering  
 EE 464: Probability Theory for Engineers  
 EE 483: Introduction to Digital Signal Processing  View
 EE 500: Neural and Fuzzy Systems  
 EE 517: Statistics for Engineers  
 EE 519: Speech Recognition and Processing for Multimedia  
 EE 522: Immersive Audio Signal Processing  
 EE 551: Principles of Radar  
 EE 559: Mathematical Pattern Recognition  View
 EE 562a: Random Processes in Engineering  
 EE 562b: Random Processes in Engineering  
 EE 563: Estimation Theory  View
 EE 566: Optical Information Processing  View
 EE 569: Digital Image Processing  View
 EE 583: Adaptive Signal Processing  View
 EE 585: Linear System Theory  
 EE 586L: Advanced DSP Design Laboratory  
 EE 589: Statistical Optics  
 EE 591: Magnetic Resonance Imaging and Reconstruction  View
 EE 592: Computational Methods for Biomedical Imaging  
 EE 596: Wavelets  
 EE 619: Advanced Topics in Automatic Speech Recognition  
 EE 667: Array Signal Processing  
 EE 669: Multimedia Data Compression  View
 EE 689: Optical Computing Systems  
 EE 691: Advanced Magnetic Resonan

 View

The complete SIPI class flowchart PDF file. This material is for reference only. Please refer to the graduate student handbook, which can be obtained from the EE Department website, or the USC Course Catalogue, which can be viewed form the main USC website.