Digital Signal Compression . ECE 242
Principles and techniques of signal compression systems. Basic quantizationtheory, linear prediction, predictive coding, transform and subband coding, entropy coding, and vector quantization. Techniques and algorithms for efficient trade-offs between fidelity, bit-rate, and complexity. applications to speech, audio, image and video.
Prerequisites: ECE 139 or 235.
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Level LimitEngineering
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Kenneth is a pretty cool dude, really just a solid person and professor. We got 1 HW assignment every week except the week before the midterm, and they're graded pretty harshly by correctness, but he drops the lowest. TAs hard carried review. The midterm and final were take home and online which saved my grade. Curved class by half a grade
He genuinely cares about his students. His slides were helpful in understanding material and his lectures had relevant examples. Both the final/midterm were take home with 24 hours to complete, which is a very generous policy. Overall a very good professor.
He is a nice man but this topic was so hard for me, I really struggled. His lectures left me confused so I just learned everything by going to section because I had a wonderful TA. Quizzes every week in section so attendance is basically mandatory. Both midterm and final were take home though so that was nice.
Excellent lecture slides, easily accessible (in and out of class!), and a respectful professor who does a great job at getting the principles of the course across
Upamanyu Madhow
1.0
Yasamin Mostofi
2.0