1. Home
  2. Premium
  3. IEEE ICASSP 2020 Virtual Conference May 2020
  4. A Time-Based Sampling Framework For Finite-Rate-Of-Innovation Signals
  5. A Time-Based Sampling Framework For Finite-Rate-Of-Innovation Signals
A Time-Based Sampling Framework For Finite-Rate-Of-Innovation Signals

This video program is a part of the Premium package:

A Time-Based Sampling Framework For Finite-Rate-Of-Innovation Signals

  • IEEE MemberUS $11.00
  • Society MemberUS $0.00
  • IEEE Student MemberUS $11.00
  • Non-IEEE MemberUS $15.00
Purchase

A Time-Based Sampling Framework For Finite-Rate-Of-Innovation Signals

0 views
  • Share
Create Account or Sign In to post comments
Time-based sampling of continuous-time signals is an alternative to Shannon's sampling paradigm in which the signal is encoded using a sequence of nonuniform time instants. The standard methods for reconstructing signals in bandlimited and shift-invariant
Time-based sampling of continuous-time signals is an alternative to Shannon's sampling paradigm in which the signal is encoded using a sequence of nonuniform time instants. The standard methods for reconstructing signals in bandlimited and shift-invariant

Next Up

00:10:00
Anti-Jamming Routing For Internet Of Satellites: A Reinforcement Learning Approach
>
00:10:00
TEST
>
00:10:00
TEST #2
>
00:11:17
Article Production Process: Author Gateway and POPP - PoE 2020
>
00:05:01
Article Production Process: Service Levels & Workflow Options - PoE 2020
>
00:28:33
AWS Partner Solution Showcase presented by Scott Francis IoT Partner Solutions Architect at Amazon Web Services
>