Asymptotic Task-Based Quantization With Application to Massive MIMOdoi:10.1109/TSP.2019.2923149Nir ShlezingerYonina EldarMRD RodriguesIEEE
P. Eckstein, "Task-based model/human observer evaluation of SPIHT wavelet compression with human visual system-based quantization," Acad. Radiol., vol. ... Y Zhang,BT Pham,MP Eckstein - 《Academic Radiology》 被引量: 36发表: 2005年 The Visual Acts model for automated camera placement during...
Classification of respiratory sounds based on wavelet packet decomposition and learning vector quantization In this paper, a wavelet packet-based method is used for detection of abnormal respiratory sounds. The sound signal is divided into segments, and a feature vector for classification is formed ...
In [33], a DDPG-based is algorithm is proposed for collaborative computation offloading in heterogeneous edge computing. The offloading algorithm they propose is designed to work across all three edge networks, despite their heterogeneity. By doing so, they aim to improve the overall efficiency and...
implement the digital transmission: vector quantization (VQ) and uniform scalar quantization (SQ). implement the 16QAM and QPSK modulations. the basic version of the unified semantic communication (U-DeepSC). dataset preparation. feature selection-based UDeepSC. packages requirement.About...
Visual codebook based quantization of robust appearance descriptors extracted from local image patches is an effective means of capturing image statistics ... Fr,d,ric Jurie,... - Proc of IEEE International Conference on Computer Vision 被引量: 1508发表: 2005年 Stochastic completion fields: A ...
🔥🔥 [2023/09/26]We are pleased to announce the release of the4-bit quantized version of CodeFuse-CodeLlama-34B. Despite the quantization process, the model still achieves a remarkable 73.8% accuracy (greedy decoding) on the HumanEval pass@1 metric. ...
[26] explored the issue of service selection in Mobile Vehicle Cloud (MVC), and proposed a Quality of Service (QoS) evaluation method based on link stability metrics and fuzzy quantization to assist user vehicles in selecting the most suitable service provider in a dynamic connected vehicle ...
🔥🔥 [2023/09/26]We are pleased to announce the release of the4-bit quantized version of CodeFuse-CodeLlama-34B. Despite the quantization process, the model still achieves a remarkable 73.8% accuracy (greedy decoding) on the HumanEval pass@1 metric. ...
In order to classify the fused vector from different mental, we have used linear vector quantization (LVQ) neural network and its extension LVQ2. The results of the experiments testing the performance have been evaluated with two profiles of the database. We have observed canonical correlation-...