Research Article

Sparse Signal Recovery via ECME Thresholding Pursuits

Algorithm 2

EMTP- ๐›ฝ algorithm.
Input: Measurement matrix ๐ด , measurements ๐‘ฆ , thresholding parameter ๐›ฝ
Output: The reconstructed signal ๐‘ฅ
( 1 ) โ€‰โ€‰Initialization:
( 2 ) โ€‰โ€‰ ๐‘ก = 1 //iteration number
( 3 ) โ€‰โ€‰ ๐‘ฅ ( 0 ) = ๐ŸŽ //initial signal
( 4 ) โ€‰โ€‰ ๐‘Ÿ ( 0 ) = ๐‘ฆ //initial residual
( 5 ) โ€‰โ€‰ ๐ผ ( 0 ) = โˆ… //initial support set
( 6 ) โ€‰โ€‰whileโ€‰โ€‰halting criterion false do
( 7 ) โ€ƒ ๐‘ฅ ( ๐‘ก ) = ๐‘ฅ ( ๐‘ก โˆ’ 1 ) + ๐ด โ€  ๐‘Ÿ ( ๐‘ก โˆ’ 1 )
( 8 ) โ€ƒ ๐ผ ( ๐‘ก ) = { ๐‘– โˆถ | ๐‘ฅ ๐‘– ( ๐‘ก ) | > ๐›ฝ ๐‘ก m a x | ๐‘ฅ | }
( 9 ) โ€ƒ ๐‘ฅ ๐ผ ( ๐‘ก ) ( ๐‘ก ) = ๐ด โ€  ๐ผ ( ๐‘ก ) ๐‘ฆ
( 1 0 ) โ€ƒ ๐‘ฅ ( ๐‘ก ) [ 1 , ๐‘› ] โงต ๐ผ ( ๐‘ก ) = 0
( 1 1 ) โ€ƒ ๐‘Ÿ ( ๐‘ก ) = ๐‘ฆ โˆ’ ๐ด ๐‘ฅ ( ๐‘ก )
( 1 2 ) โ€ƒ ๐‘ก = ๐‘ก + 1
( 1 3 ) โ€‰โ€‰end while
( 1 4 ) โ€‰โ€‰returnโ€‰โ€‰ ๐‘ฅ