Abstract: The Decode-Compress-Forward (DCF) is a generalization of Decode-Forward (DF) and Compress-Forward (CF). This paper investigates conditions under which DCF offers gains over DF and CF, addresses the problem of coded modulation for DCF, and evaluates the performance of DCF coded modulation implemented via low-density parity-check (LDPC) codes and polar codes. We begin by revisiting the ...

Convolutional neural networks excel in image recognition tasks, but this comes at the cost of high computational and memory complexity. To tackle this problem, [1] developed a tensor factorization framework to compress fully-connected layers. In this paper, we focus on compressing convolutional layers. We show that while the direct application of the tensor framework [1] to the 4-dimensional ke...

In this paper properties of number theoretic transforms are investigated and it is found that they can be used to compress the regular image effectively. NTT variants namely Fermat and Mersenne transforms are applied on test images of size 16x16 and the results are analyzed and a compression scheme is developed. The algorithm is implemented in MATLAB and results are analyzed and compared with D...

We consider a relay network with two relays and a feedback link from the receiver to the sender. To obtain the achievability result, we use compress-and-forward and random binning techniques combined with deterministic binning and restricted decoding. Moreover, we use joint decoding technique to decode the relays’ compressed information to achieve a higher rate in the receiver. Keywordsrelay ne...

Neural networks are promising tools for data compression without loss of information. We combine predictive neural nets and statistical coding techniques to compress text les. We apply our methods to certain short newspaper articles and obtain compression ratios exceeding those of widely used Lempel-Ziv algorithms (which are the basis of the UNIX functions \compress" and \gzip"). Our methods' m...

Deep neural networks have demonstrated state-of-theart performance in a variety of real-world applications. In order to obtain performance gains, these networks have grown larger and deeper, containing millions or even billions of parameters and over a thousand layers. The tradeoff is that these large architectures require an enormous amount of memory, storage, and computation, thus limiting th...

OBJECTIVE To determine whether recurrence of leg ulcers may be prevented by surgical correction of superficial venous reflux in addition to compression. DESIGN Randomised controlled trial. SETTING Specialist nurse led leg ulcer clinics in three UK vascular centres. PARTICIPANTS 500 patients (500 legs) with open or recently healed leg ulcers and superficial venous reflux. INTERVENTIONS C...

A pseudocyst is a fluid/debris collection that occurs as a complication of pancreatitis. It can be symptomatic and cause compression of the surrounding structures. Our case report highlights a 29-year-old male who presented with secondary varicocele on left side caused by a huge pseudocyst seen to compress the left renal and testicular veins.

An image file contains huge amounts of information that requires high storage space, large transmission bandwidths and long transmission times. So it is useful to compress the image by storing only the required information to reconstruct the original image. An image can be considered as a matrix of pixel or intensity values. In order to compress an image redundancies must be evaluated, for exam...

Due to bandwidth constraints on the wireless link in an IP network, it is useful to compress the headers so as to maximize the utilization of the link. Different Header Compression schemes have been proposed. Some make use of the similarity in consecutive headers in a packet flow to compress these headers. These are called here time compression, as they acquire the compression information over ...