Adaptive QR Algorithm Masterclass

In this masterclass we will present the QR algorithm and explicitly look at why and where it is now extensively used in DSP and Digital Communications in applications such as MIMO, equalisers, and beamformers. The QR algorithm is widely known and used in linear and matrix algebra to decompose a matrix into an orthogonal matrix, Q, and upper triangular matrix R. As such the algorithm is used for finding the solution of a linear set of equations, or expressed in matrix algebra, for implicitly solving for a vector, w = R-1p. without explicitly forming a matrix inverse, which in fixed point arithmetic may be an ill-conditioned problem, and suffer from overflow/underflow: In this course we will review algorithm, applications and real FPGA implementations.

Content

  • Matrix Algebra Review
  • QR History - Classical Linear Algebra
  • Householder and Givens transforms
  • Least Squares DSP Implementations
  • Fixed point implementations
  • Parallel and Serial FPGA Implementations
  • Backsubstitution versus Downdating Arrays
  • CORDIC and Arithmetic Requirements
  • Singular Value Decomposition (SVD)
  • Beamforming and Beamsteering
  • MIMO System Implementation
  • Fixed point implementations

Pre-requisites

The course is suitable for all engineering and technical management staff. The following prior experience is useful: Electrical engineering principles and Bachelor level mathematics.

Adaptive QR Algorithm Masterclass Syllabus (99.4 kB)

Event Date

Instructor: Prof. Bob Stewart and team

Prof. Bob Stewart and team Professor Bob Stewart and his team of experienced design engineers from Steepest Ascent of have successfully presented in Europe, United States and Asia. Prof Bob Stewart has extensive experience presenting industry DSP courses in the USA and Europe. He is currently a faculty member of the Department of Electronic and Electrical Engineering at the University of Strathclyde. Prior to joining the University of Strathclyde, Prof Stewart was a visiting professor in Dept of Electrical Engineering at the University of Minnesota in 1990, and a visiting scholar at the University of Southern California in 1986/7. Since 1997 he has been a parttime visiting professor at UCLA.

Prices

  • 1.310,00 € regular fee
  • 1.180,00 € early registration
  • 1.110,00 € per participant of two from the same company
  • 1.050,00 € per participant of three or more from the same company
  • 720,00 € University Rate (Please enclose evidence.)

All prices exclude German VAT

Provider

Steepest Ascent

Steepest Ascent has a long history in providing both Public and On-Site courses within the UK, USA and Europe. Through a number of European and US partners Steepest Ascent has delivered a wide range of detailed technical courses to some of the worlds top engineering and academic institutions.

www.steepestascent.com
Contact: Amreet Bhumbra
Phone: +44 141 552 8855
Email: info@steepestascent.com
Ladywell, 94 Duke Street | Glasgow, G4 0UW | United Kingdom

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