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SparSig · Sparse Signal Processing in Wireless Communication

This project proposes a new way to sample, quantize, process and re-synthesize analog signals. Generally, the signals in many scientific areas are sparse in nature, which means that there is some structure and redundancy in the signals. If it is possible to transform a signal into a sparse domain in such a way that only the really needed information is processed then it is possible to save energy. Compressed Sensing in Wireless Communication - Workshop 2015. Currently v1.0.0. The main contributions are t...

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SparSig · Sparse Signal Processing in Wireless Communication | sparsesampling.com Reviews
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This project proposes a new way to sample, quantize, process and re-synthesize analog signals. Generally, the signals in many scientific areas are sparse in nature, which means that there is some structure and redundancy in the signals. If it is possible to transform a signal into a sparse domain in such a way that only the really needed information is processed then it is possible to save energy. Compressed Sensing in Wireless Communication - Workshop 2015. Currently v1.0.0. The main contributions are t...
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1 sparsig
2 project overview
3 project participants
4 torben larsen
5 søren holdt jensen
6 thomas arildsen
7 karsten fyhn
8 pawel jerzy pankiewicz
9 peng li
10 tobias lindstrøm jensen
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SparSig · Sparse Signal Processing in Wireless Communication | sparsesampling.com Reviews

https://sparsesampling.com

This project proposes a new way to sample, quantize, process and re-synthesize analog signals. Generally, the signals in many scientific areas are sparse in nature, which means that there is some structure and redundancy in the signals. If it is possible to transform a signal into a sparse domain in such a way that only the really needed information is processed then it is possible to save energy. Compressed Sensing in Wireless Communication - Workshop 2015. Currently v1.0.0. The main contributions are t...

INTERNAL PAGES

sparsesampling.com sparsesampling.com
1

Compressive Sensing for Spread Spectrum Receivers · SparSig

http://sparsesampling.com/css

This project proposes a new way to sample, quantize, process and re-synthesize analog signals. Generally, the signals in many scientific areas are sparse in nature, which means that there is some structure and redundancy in the signals. If it is possible to transform a signal into a sparse domain in such a way that only the really needed information is processed then it is possible to save energy. Compressed Sensing in Wireless Communication - Workshop 2015. Currently v1.0.0.

2

About · SparSig

http://sparsesampling.com/about

This project proposes a new way to sample, quantize, process and re-synthesize analog signals. Generally, the signals in many scientific areas are sparse in nature, which means that there is some structure and redundancy in the signals. If it is possible to transform a signal into a sparse domain in such a way that only the really needed information is processed then it is possible to save energy. Compressed Sensing in Wireless Communication - Workshop 2015. Currently v1.0.0.

3

LTE toolbox · SparSig

http://sparsesampling.com/lte

This project proposes a new way to sample, quantize, process and re-synthesize analog signals. Generally, the signals in many scientific areas are sparse in nature, which means that there is some structure and redundancy in the signals. If it is possible to transform a signal into a sparse domain in such a way that only the really needed information is processed then it is possible to save energy. Compressed Sensing in Wireless Communication - Workshop 2015. Currently v1.0.0.

4

Compressed Sensing in Wireless Communication - Workshop 2015 · SparSig

http://sparsesampling.com/EuropeanWireless2015

This project proposes a new way to sample, quantize, process and re-synthesize analog signals. Generally, the signals in many scientific areas are sparse in nature, which means that there is some structure and redundancy in the signals. If it is possible to transform a signal into a sparse domain in such a way that only the really needed information is processed then it is possible to save energy. Compressed Sensing in Wireless Communication - Workshop 2015. Currently v1.0.0. Wednesday, 20 May 2015.

5

Compressive Parameter Estimation for Sparse Translation-Invariant Signals Using Polar Interpolation · SparSig

http://sparsesampling.com/cpe

This project proposes a new way to sample, quantize, process and re-synthesize analog signals. Generally, the signals in many scientific areas are sparse in nature, which means that there is some structure and redundancy in the signals. If it is possible to transform a signal into a sparse domain in such a way that only the really needed information is processed then it is possible to save energy. Compressed Sensing in Wireless Communication - Workshop 2015. Currently v1.0.0. Marco F. Duarte.

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SparSig · Sparse Signal Processing in Wireless Communication

This project proposes a new way to sample, quantize, process and re-synthesize analog signals. Generally, the signals in many scientific areas are sparse in nature, which means that there is some structure and redundancy in the signals. If it is possible to transform a signal into a sparse domain in such a way that only the really needed information is processed then it is possible to save energy. Compressed Sensing in Wireless Communication - Workshop 2015. Currently v1.0.0. The main contributions are t...

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