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The time-series data analysis described here is based on the simple idea that the accumulation of the effects of lifestyle events, such as ingestion and exercise, could affect personal health with some delay. The delay may reflect complex bio-reactions such as those of metabolism in a human body. In the analysis, the accumulation of the effects of lifestyle events is represented by a summation of...
The motivation for this study is the need for careful analysis of aperiodicity of the excitation component in expressive voices. The paper proposes analysis methods which can preserve the excitation information corresponding to sequence of impulse-like excitation with variable strengths. To analyze the details of the excitation source characteristics, the epochs and the strength of the excitation...
Road-vehicle noise samples generated by common vehicles under various operating conditions were replayed using headphones. Ten subjects were instructed to describe and quantify their subjective responses to the noises. A wealth of numerical perceptual information was obtained and investigated by principal component analysis. Based on the human auditory-brain system theory, the physical factors extracted...
Instantaneous fundamental frequency (F0) in voiced speech can be obtained from the sequence of epochs corresponding to the instants of significant excitation. The epoch sequence can be derived using the recently proposed epoch extraction method based on zero frequency filtering. The epoch extraction method is robust against additive noise degradation. But in a multispeaker mixed signal, the degradation...
The objective in Data Grids is to reduce access and file (replica) transfer latencies, as well as to avoid single site congestion by the numerous requesters. To facilitate access and transfer of the data, the files of the Data Grid are distributed across the multiple sites. The effectiveness of a replica selection strategy in data grids depends on its ability to serve the requirement posed by the...
How to control energy consumption is one of the most important issues for the battery-powered mobile stations in mobile networks. IEEE 802.16e standard proposes an energy saving mechanism that named "sleep mode" for conserving the power of the mobile stations. According to the operating mechanism of the sleep mode for downlink traffic in the type I power saving class, modeling the data frames...
Diagnosis for delay defects becomes more significant as the CMOS process advances to nanometer regime. The most challenging problems of delay fault diagnosis in nanometer process come from the process variation, which results in small delay variations. Small delay variations are difficult to be diagnosed by using existing methods based on a specific fault model. This paper presents a new estimation...
Usage of compressed Electrocardiography (ECG) for fast and efficient telecardiology application is crucial, as ECG signals are enormously large in size. However, conventional ECG diagnosis algorithms require the compressed ECG to be decompressed before diagnosis can be applied. This added step of decompression before performing diagnosis for every ECG packets introduces unnecessary delays, which is...
Traditionally, IP Network planning and design is mostly based on average delay or loss constraints which can often be easily calculated. Jitter, on the other hand, is much more difficult to evaluate but this is particularly important to manage the QoS of real-time and interactive services such as VoIP and streaming video. In this paper, we propose a simple model for the delay jitter that is fast enough...
This paper is described the properties of the pseudo-ternary M-sequence such as the periodic autocorrelation function, the balance properties, the preferred pairs and so on. This paper is also discussed the tracking performances of the spread spectrum (SS) systems with the delay locked loop (DLL) using the pseudo-ternary M-sequence. As a result, the tracking error performance can be improved by the...
The goal of this paper is to present a new objective method for evaluating the quality of streaming audio - PESAQ (perceptual evaluation of streaming audio quality). According to our experiments, we found that the ITU recommended objective evaluation method - PEAQ(perceptual evaluation of audio quality) can not fit the subjective quality of streaming audio accurately. To develop the new method PESAQ,...
We have presented a novel design methodology to model complex intensive data-parallel applications. The modeling is carried out using the UML graphical language and the MARTE standard. Afterwards, automatic code generation can be carried out via MDE tools and technologies. Finally the code can be synthesized and implemented on a target FPGA. We have presented an example of this process, by building...
In this paper, we consider properties of the auto-ambiguity and cross-ambiguity functions of weighted pulse trains with Oppermann sequences. Several properties are examined and proved which in turn allows for reducing the design space for optimization of a particular design. The insights gained from these properties are consolidated in a formal framework leading to procedures that can be used for...
Ordinal time series analysis is a simple approach to the investigation of experimental data. The basic idea is to consider the order relations between the values of a time series and not the values themselves. This results in fast and robust algorithms that extract the basic intrinsic structure of the given data series. This paper gives a short overview of this approach and describes the application...
The design of integrated radar and communication systems may be based on sets of polyphase sequences such as Oppermann sequences. In this paper, we derive an analytical expression for the cross-ambiguity function of weighted pulse trains with Oppermann sequences. Further, the auto-ambiguity function is deduced from this as a special case. Numerical examples are provided to illustrate the relationship...
Traffic measurements from communication networks have shown that network traffic is exhibiting self similar as well as long range dependence properties. In telecommunication networks, congestion events tend to persist, producing large delays and packet loss resulting in performance degradation. In order to guarantee quality of service to diverse Internet services, congestion prediction became a fundamental...
In this paper, we propose a method for aligning networked cameras spatially and temporally. Synchronizing video sequences and recovering spatial information among cameras are crucial steps for applications such as robust tracking and video mosaic. Without prior knowledge of internal and external parameters of cameras, we attempt to automatically estimate their spatial relationship and time offset...
TCP round trip time is an important subject of network measurement research. And it is widely utilized in congestion control and network tomography. Compared with active methods to measure round trip time, passive ones are superior for low cost and not injecting traffic into networks. However, all present passive measurement methods have deficiencies. Some of them are not accurate enough, some others...
In this paper we study the problem of collaboration in RF-Sensor networks, comprised of a large number of very small and low cost nodes, capable of sensing, communicating and computing. The Multi-phases Collaboration of such nodes may lead to the accomplishment of large sensing tasks, having useful applications in practice. First, we research two collaboration methods, one is no collaboration and...
In this paper, a cross fourth order moment minimum norm approach is proposed to achieve multi-path chirp time delay estimation. Because chirp signals are nonstationary, we define a special time-varying cross fourth order moment. Using this time-varying fourth order moment, the time delay estimation of the nonstationary chirp signals is converted into the parameter estimation of stationary signals...
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