Lossy Source Coding of Binary Memoryless Source by Trained LDGM Encoder

Use of low-density generator matrix codes as codebook and encoding with message-passing algorithm is an efficient approach for lossy coding of the i.i.d. binary source. We propose lossy source encoder which is trained on the associated unfolded Tanner graph for improving the rate-distortion performance and/or reducing computational cost.