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xx19960422

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LPCNet

Experimental Neural Net speech coding for FreeDV

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codec2

Codec 2 is an open source speech codec designed for communications quality speech between 700 and 3200 bit/s.

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codec2-dev

Open source speech codec designed for communications quality speech between 450 and 3200 bit/s. The main application is low bandwidth HF/VHF digital radio.

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espnet

End-to-End Speech Processing Toolkit

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wavenet_vocoder

WaveNet vocoder

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lyra

A Very Low-Bitrate Codec for Speech Compression

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libtetradec

A linkable library for WinTelive to decode ACELP codec.

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mbelib-testing

AMBE/AMBE+ Vocoder implementation/decoding library.

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melp_matlab

melp matlab code

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CSF29008

Repositório para uso na disciplina de Comunicação Sem Fio (CSF29008) do curso de Engenharia de Telecomunicações do IFSC - câmpus São José

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OFDM_Rayleighpath_cp_zp_comparison

OFDM在多径瑞利信道下循环前缀与0前缀的抗多径性能比较

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Communication

利用matlab实现的基本系统和通信学科的知识整理

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leetcode

LeetCode Problems' Solutions

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16-QAM-QPSK-BPSK

Simulation in MATLAB of Digital Communication modulations (BPSK,QPSK,16 QAM) to find the performance and probability of error in Rayleigh and Rician fading environments

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Wireless-Communication-Simulation

Simulate the real wireless communication environment and compare the modulation performances of BPSK, QPSK, 16QAM, 64QAM.

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Python_CsiNet

Python code for "Deep Learning for Massive MIMO CSI Feedback"

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Realtime-processing-for-csitool

A realtime data processing and visualization plugin for the Linux 802.11n Channel State Information (CSI) Measurement Tool.

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CSI-dataset

Real-world datasets for indoor localization

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SDR_Matlab_OFDM_802.11n

:satellite: Using Software Designed Radio to transmit MIMO-OFDM QPSK signals at 5 GHz

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fast-mode-decision-cnn

Fast mode decision method using CNN

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CPIV

A large-scale database for QTMT-based CU partition of VVC.

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pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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HEVC-CU-depths-prediction-CNN

Using convolutional neural networks to predict the Coding Units (CUs) depths in HEVC intra-prediction mode, in order to reduce the time of the encoding process in HEVC.

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HEVC-Complexity-Reduction

Source programs to test the deep-learning-based complexity reduction approach for HEVC, at both intra- and inter-modes.

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