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We present a new iterative quantization procedure for oversampled frames with guaranteed convergence and stability. The procedure uses similar concepts to that of turbo decoding in the context of error control coding. The quantization process is modeled as a quadratic integer-programming problem. A trellis structure is introduced to solve the problem, where the quantized coefficients represent a path...
We address the optimization of the quantization of overcomplete frames. The optimization problem is formulated as a quadratic integer programming problem. We develop a suboptimal dynamic programming solution that uses a scalable trellis expansion. The proposed solution offers significant improvement of the quantization error and it can be combined with projection-based quantization, e.g., sigma-delta...
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