IEEE 802.11 and Bluetooth are the two different wireless systems that share the same frequency band in 2.4 GHz and are likely to interfere with each other if operating in the same environment and thus experience a severe decrease in throughput. The devices equipped with IEEE 802.11 and Bluetooth are mobiles, laptops, watches and many more and in future with WiMAX. Result is the number of co-loc...

To estimate the convolutional encoder state from received data, one may use the inverse to the encoder G. However, channel errors make this method unreliable. We propose a method that uses the received data in the following way. We calculate the syndrome, and after a specific number of received syndrome values equal to zero, we expect that the corresponding received data is also error-free. The...

A generic M-ary continuous phase modulation (CPM) scheme, with a modulation index of h = M 1 , can be decomposed into a continuous-phase encoder (CPE) followed by a memoryless modulator (MM), where the CPE is linear over the ring of integers modulo M (M being the code radix). Thus, for a binary CPM scheme, M = 2 while for a quaternary scheme, M = 4. By designing a channel encoder (CE), which is...

We address the concept of “minimal polynomial encoder” for finite support linear convolutional codes over Zpr . These codes can be interpreted as polynomial modules which enables us to apply results from the 2007-paper [8] to introduce the notions of “p-encoder” and “minimal p-encoder”. Here the latter notion is the ring analogon of a row reduced polynomial encoder from the field case. We show ...

Low-resolution digital encoder (LRDE) is commonly adopted as a position sensor in low-cost and resource-constraint applications. Traditionally, a digital encoder is modeled as a quantizer without considering the initial position of the LRDE. However, it cannot be applied to extreme LRDE for which stroke of angular motion is only a few times of resolution of the encoder. Besides, the actual angu...

Neural machine translation has shown very promising results lately. Most NMT models follow the encoder-decoder framework. To make encoder-decoder models more flexible, attention mechanism was introduced to machine translation and also other tasks like speech recognition and image captioning. We observe that the quality of translation by attention-based encoder-decoder can be significantly damag...