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The modeling and quantization errors are independent.
We illustrate the modeling and quantization process of all tested algorithms in Fig. 6, for the stationary Gauss data stream.
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In our scheme, two solutions from the perspective of texture description model and quantization algorithm have been developed to reduce the feature׳s noise sensitiveness.
Furthermore, this makes the estimation of the estimation of the source-relay channel transition probabilities independent of the channel model and quantization method, making the results applicable to a large variety of systems.
Equation (12) shows that the overall quantization error on LSF vectors can be seen as the sum of the contributions of the LT modeling and the quantization process.
Comparison of achieved recognition accuracy with popular modeling techniques in speaker recognition like Gaussian mixture models and vector quantization is made.
Achieved verification results are compared wit h the ones ohtained for the most popular in speaker recognition area techniques like Gaussian Mixture Models and vcctor quantization.
Furthermore, using some of these benchmarks we present a scalability analysis of the model and different quantization techniques aimed at reducing the number of messages exchanged and the execution time when simulations are characterized by scarce mass interactions.
Then, we constructed energy consumption configuration model joint distribution compressive sensing and quantization compressive sensing.
Combined with other adjuvant techniques including psychoacoustic model, scale-factor, Huffman coding, and quantization, the final compressed bit stream is generated.
In this review paper, we focus our attention on the recent development of the research on the QC effect in CF-based non-volatile RS devices including basic QC phenomenon in RRAM, RS mechanisms, device structures, materials, theory, and modeling of conductance quantization in RRAM.
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