Recently, in the development of advanced wireless communication systems, it is very important to understand wave propagation in complex indoor/outdoor environments. The ray-launching or SBR method [1][3] is one of the most useful propagation estimation tools. The procedure of the method is very simple, so it has high computational efficiency. However, in our previous reports for a simplified 2D...

OBJECTIVES This study intended to determine the effect of varying degrees of lossy Joint Photographic Experts Group (JPEG) compression on detection of coronary angiographic features. Background Compression of digital coronary angiograms facilitates playback of images and decreases cost. There are little data on the effect of compression on the accuracy of coronary angiography. METHODS At six ...

In this paper, we consider the problem of estimating link loss rates based on end-to-end path loss rates in order to identify lossy links on the network. We first derive a maximum likelihood estimate for the problem and show that the problem boils down to the matrix inversion problem for an underdetermined system of linear equations. Without any prior knowledge of the statistics of packet loss ...

We draw a certain analogy between the classical information–theoretic problem of lossy data compression (source coding) of memoryless information sources and the statistical mechanical behavior of a certain model of a chain of connected particles (e.g., a polymer) that is subjected to a contracting force. The free energy difference pertaining to such a contraction turns out to be proportional t...

The main process involves in medical image compression algorithms is encoding information using lesser amount of bits than the original representation used. Image compression is useful as it reduces the load of expensive resources and their consumption. These resources include transmission bandwidth, disk space etc. Compression may be lossy or lossless. But we avoided the concept of lossy compr...

Recent studies have shown that the efficiency of deep neural networks in mobile applications can be significantly improved by distributing the computational workload between the mobile device and the cloud. This paradigm, termed collaborative intelligence, involves communicating feature data between the mobile and the cloud. The efficiency of such approach can be further improved by lossy compr...

Design of high-speed, high-performance electronic circuits require simulation of transients in networks that include multiple, coupled lossy transmission lines. Widely used circuit simulator, SPICE, does not have facilities for simulation of multi-conductor transmission lines. Recently a modification to SPICE3 to include multi-conductor lossless lines was reported [6]. In many situations line l...

In recent years, WLAN technology has been gaining popularity around the world with its sub standard 802.11b receiving major deployments in many indoor and outdoor environments. In this article we investigate the performance of IEEE 802.11b infrastructure networks in the lossless and lossy environments by means of a simulation study. Also, this study shows how the FIFO discipline of the 802.11b ...

Despite over a decade of research and development, medical image compression has not yet been widely implemented on clinical picture archiving and communication systems (PACS). We have developed a prototype interface which incorporates both lossless and lossy compression into a browsing system that enables the efficient use of network and storage resources. Such a system allows an user to quick...

The paper describes an efficient lossy and lossless three dimensional (3D) image compression of hyperspectral images. The method adopts the 3D spatial-spectral hybrid transform and the proposed transform-based coder. The hybrid transforms are that Karhunen-Loève Transform (KLT) which decorrelates spectral data of a hyperspectral image, and the integer Discrete Wavelet Transform (DWT) which is a...