This course is the second of a two-term sequence with 6.450. The focus is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis, and design principles. After a review of 6.450 and the Shannon limit for AWGN channels, the course begins by discussing small signal constellations, performance analysis and coding gain, and hard-decision and soft-decision decoding. It continues with binary linear block codes, Reed-Muller codes, finite fields, Reed-Solomon and BCH codes, binary linear convolutional codes, and the Viterbi algorithm. More advanced topics include trellis representations of binary linear block codes and trellis-based decoding; codes on graphs; the sum-product and min-sum algorithms; the BCJR algorithm; turbo codes, LDPC codes and RA codes; and performance of LDPC codes with iterative decoding. Finally, the course addresses coding for the bandwidth-limited regime, including lattice codes, trellis-coded modulation, multilevel coding and shaping. If time permits, it covers equalization of linear Gaussian channels.
UAE is an excellent study-abroad destination for students across the world. The best part is that it is affordable and accessible. With these fully-fu
Discover the transformative power of the growth mindset – a resilient mentality that views challenges as opportunities for growth, not limitations.
Explore the multidisciplinary PPE programme at Oxford University. Gain a deep understanding of politics, philosophy, and economics with specialised ar
Report Spam
Question: Lorem ipsum dolor sit amet consectetur adipisicing elit. Est iure, rerum ad porro debitis odio sequi aliquam. Quis officia nobis accusamus, ut ipsum, inventore autem repudiandae voluptates cupiditate iure aliquid?
9 Answers
155
Register now to access exclusive content & personalised recommendations.
Don't miss out.
Sign up today!
Register now to access exclusive content & personalised recommendations.
Don't miss out.
Sign up today!
Register now to access exclusive content & personalised recommendations.
Don't miss out.
Sign up today!