In this paper, it has been shown that any measuring process can be modeled as a process of sampling of signals. Also, a notion of a special kind of functions, called here functions with attributes, has been introduced. The starting point here, in the first of the above themes, is an observation that in fact we are not able to measure and record truly continuously in time any physical quantity. The measuring process can be viewed as going stepwise that is in steps from one instant to another, similarly as a sampling of signals proceeds. Therefore, it can be modeled as the latter one. We discuss this in more detail here. And, the notion of functions with attributes, we introduced here, follows in a natural way from the interpretation of both the measuring process as well as the sampling of signals that we present in this paper. It turns out to be useful.

High definition video transmission is one of the prime demands of modern day communication. Changing needs demand diverse features to be offered by the video codec standards, H.264 fits to these requirements for video compression. In this work, an attempt has been made to optimize the inter prediction along with improved intra prediction to ensure the minimal bit rates thereby reduction in the channel bandwidth, which is required in most of the wireless applications. In intraprediction, only DC prediction mode is chosen out of 9 modes with 4*4 luma blocks that reduces the coding complexity towards optimal logic utilization in order to support typical FPGA board for hardware implementation. Most significantly, Inter prediction is carried out utilizing the M9K blocks efficiently with proper timing synchronization to reduce the latency in the encoding operation. Experimental set up comprising of two Altera DE2-115 boards connected through Ethernet cable demonstrated the video transmission. These optimized intra prediction and inter prediction stages resulted in significant improvement in the video compression possessing good subjective quality and increased video compression.

The paper presents two theoretical models for traffic noise level distribution on curved horizontal roads. In the case of vehicles moving on a given route, one can consider, in terms of sound field, that the granular traffic is equivalent for short periods with a quasi-continuous noise flow. When computing and modelling the noise level generated by traffic on roads with complex trajectory, it is common to treat the route as a sum of small length road segments, each being assimilated with a linear noise source. This paper started from the assumption that the route can be decomposed into a sequence of linear and arc-shaped road segments, each of which is treated as a linear respectively curved noise source. An arc-shaped road segment is modelled by a tubular vibrating surface, of circular or rectangular section. In the case of rectangular section, the vibrating blade emits complex sounds on its both vertical sides and the generated sound field can be described more clearly, qualitatively and quantitatively, through intensity distribution. The theoretical models presented in the paper have direct application to the traffic noise prediction and noise maps drawing