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Filter Design for MIMO Sampling and Reconstruction
Raman Venkataramani,
Yoram Bresler
Electrical and Computer Engineering
Coordinated Science Lab
Bioengineering
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Keyphrases
Input Signals
100%
Multiple-input multiple-output
100%
Output Sampling
100%
Finite Impulse Response
100%
Finite Impulse Response Filters
100%
Filter Design
100%
Reconstruction Filter
100%
Banded Structure
50%
Optimal Approximation
50%
Frequency Response
50%
Sampling Rate
50%
Min-max
50%
Non-uniform Sampling
50%
Generalized Sampling
50%
Discrete-time
50%
Semi-infinite Linear Programs
50%
Strong Sets
50%
Present Condition
50%
Continuous-time
50%
End-to-end Distortion
50%
Response Reconstruction
50%
Design Problems
50%
Ideal Filter
50%
Perfect Reconstruction Filter Banks
50%
Engineering
Input Signal
100%
Multiple-Input Multiple-Output
100%
FIR Filter
100%
Finite Impulse Response
100%
Reconstruction Filter
100%
Filter Design
100%
Band Structure
50%
Frequency Response
50%
Sampling Rate
50%
Max
50%
Discrete Time
50%
Continuous Time
50%
Ideal Filter
50%
Linear Program
50%
Design Problem
50%
Perfect Reconstruction Filter
50%