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The block diagram of the proposed system.
Source publication
Data transmission using self-organizing feature map (SOFM) based vector quantizer (VQ) and channel optimized vector quantizer (COVQ) with various space-time trellis codes (STTC) over wireless channels are studied. It is interesting to note that in a SOFM-STTC system, even with a weak STTC, the overall performance in terms of reconstruction error do...
Contexts in source publication
Context 1
... consider a multiple transmit and receive antennae system over a flat fading channel. Let us assume there are m transmit antennae, and n receive antennae. Fig. 1 shows the block diagram of the system model. Source data is first encoded by the vector quantizer. Each VQ index is then passed to the space-time encoder. For each input symbol, the encoder produces m output symbols. After pulse shaping and modulating, the m symbols are transmitted by m transmit antennae simultaneously. The signals ...
Context 2
... The corrupted signals are then combined and soft- values of the original symbol are computed by the decoder using maximum a posteriori (MAP) algorithm [7]. The soft values may be used for different purposes. For the case of training COVQ, the soft values are feedback to the transmitter side through a reliable channel (as shown in dotted box in Fig. 1) in order to update the codebook. For the case of operating the system, which means all codebooks are trained, then the soft values are used for soft VQ decoding. Hence, the data is reconstructed. In the following subsections, we are going to briefly present space-time codes, SOFM based VQ, and ...
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