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The Performance of Incremental Redundancy Schemes based on Convolutional Codes in the Block-Fading Gaussian Collision Channel

机译：块衰落高斯碰撞信道中基于卷积码的增量冗余方案的性能

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Carl Fredrik Leanderson; Giuseppe Caire; Carl Fredrik Le;
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年度 2001
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1. The performance of incremental redundancy schemes based on convolutional codes in the block-fading Gaussian collision channel [J] . Leanderson C.F., Caire G. IEEE transactions on wireless communications . 2004,第3期

机译：块衰落高斯碰撞信道中基于卷积码的增量冗余方案的性能
2. The performance of incremental redundancy schemes based on convolutional codes in the block-fading Gaussian collision channel [J] . Leanderson C.F., Caire G. IEEE transactions on wireless communications . 2004,第3期

机译：块衰落高斯碰撞信道中基于卷积码的增量冗余方案的性能
3. The performance of incremental redundancy schemes based on convolutional codes in the block-fading Gaussian collision channel [J] . Leanderson C.F., Caire G. IEEE transactions on wireless communications . 2004,第3期

机译：基于块衰落高斯碰撞通道的卷积码增量冗余方案的性能
4. Throughput performance of an incremental-redundancy ARQ scheme in the block-fading Gaussian collision channel [C] . Caire, G., Leanderson, Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on . 2001

机译：块衰落高斯碰撞信道中增量冗余ARQ方案的吞吐量性能
5. Incremental redundancy low-density parity-check codes for hybrid FEC/ARQ schemes. [D] . Hur, Woonhaing. 2007

机译：用于混合FEC / ARQ方案的增量冗余低密度奇偶校验码。
6. Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme [O] . Guisheng Hou, Shuo Xu, Nan Zhou, 2020

机译：基于AutoEncoder方案使用深卷积生成的对抗性网络剩余使用的生命估算
7. The performance of incremental redundancy schemes based on convolutional codes in the block-fading Gaussian collision channel [O] . Leanderson Carl Fredrik, Caire G 2004

机译：基于卷积码的块衰落高斯碰撞信道增量冗余方案的性能
8. Performance of Convolution Coding Concatenated with Mfsk Modulation in a Gaussian Channel [R] . Choudhury, A. K. 1971

机译：高斯信道中mfsk调制与卷积编码相结合的性能

The Performance of Incremental Redundancy Schemes based on Convolutional Codes in the Block-Fading Gaussian Collision Channel

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