| S. Gadkari and K. Rose, "Vector quantization with transmission energy allocation for time-varying channels," IEEE Trans. Commun., submitted for publication. |
....with each codeword. Intuitively, the proper index assignment is the index assignment for which similar codewords have similar binary descriptions. In this case, the increase in distortion caused by likely codeword errors is kept small. Papers treating the index assignment problem include [15] [17]. An alternate approach to the same problem is to redesign the source codebook to take into account the index crossover probabilities imposed by a noisy channel. Examples of work taking this approach include the channel optimized vector quantizer (COVQ) and its scalar variation [2] 3] 18] ....
....a variation of the generalized Lloyd algorithm is used to iteratively design a COVQ encoder, a modulation signal set, and a linear decoder. A similar approach for the joint design of a COVQ and multicarrier modulation appears in [21] Neither of these approaches uses channel coding. In contrast, [17] uses an iterative technique to jointly design a multistage VQ and trellis coded modulation. In this work, the VQ is designed for a noiseless channel and then combined with index optimization. The effect of channel errors is assumed negligible, so the bit allocation between the source and channel ....
S. Gadkari and K. Rose, "Vector quantization with transmission energy allocation for time-varying channels," IEEE Trans. Commun., submitted for publication.
....assignment for which the Hamming distance between two source codewords is in some sense commensurate with the Euclidean distance between those codewords. In this case, the increase in distortion caused by likely codeword errors is kept small. Papers treating the index assignment problem include [15, 16, 17]. An alternate approach to the same problem is to redesign the source codebook to take into account the index crossover probabilities imposed by a noisy channel. Examples of work taking this approach include the COVQ and its scalar variation [2, 3, 18] COVQ is a vector quantizer (VQ) that has ....
....design. In [20] the generalized Lloyd algorithm is used to iteratively design a COVQ encoder, a modulation signal set, and a linear decoder. A similar approach for the joint design of a COVQ and multicarrier modulation appears in [21] Neither of these approaches uses channel coding. In contrast, [17] uses an iterative technique to jointly design a multistage VQ and trellis coded modulation. In this work the VQ is designed for a noiseless channel and then combined with index optimization. The effect of channel errors is assumed negligible, so the bit allocation between the source and channel ....
S. Gadkari and K. Rose, "Vector quantization with transmission energy allocation for timevarying channels," Submitted to IEEE Trans. Commun..
....assignment for which the Hamming distance between two source codewords is in some sense commensurate with the Euclidean distance between those codewords. In this case, the increase in distortion caused by likely codeword errors is kept small. Papers treating the index assignment problem include [14, 15, 16]. An alternate approach to the same problem is to redesign the source codebook to take into account the index crossover probabilities imposed by a noisy channel. Examples of work taking this approach include the COVQ and its scalar variation [2, 3, 17] The COVQ design involves iteratively ....
....the joint design of a COVQ and multicarrier modulation appears in [20] As in [12] described above, the multicarrier modulation is used to provide unequal error protection through the optimization of power assigned to each subcarrier. Neither of these approaches uses channel coding. In contrast, [16] uses an iterative technique to jointly design a multistage VQ and trellis coded modulation. In this work, the multistage VQ is suboptimally designed one stage at a time, based on an initial energy allocation for the source bits. The energy allocation for each source bit is then optimized such ....
S. Gadkari and K. Rose, "Vector quantization with transmission energy allocation for timevarying channels," Submitted to IEEE Trans. Commun..
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