While the market for auto lending at first appears to be highly competitive, many consumers lack the ability to obtain accurate information about price. In many markets, uninformed consumers can “free ride” off the knowledge of informed consumers. Auto lending, however, differs from traditional markets because price is not transparent and ultimately depends upon both the credit worthiness of th...

We study the cross-correlation between galaxies of different luminosities and colors, using a sample of 284489 galaxies selected from the Sloan Digital Sky Survey, Data Release 4. Galaxies are divided into 6 samples according to luminosity, and each of these samples is further divided into red and blue subsamples according to their (g − r) colors. Projected auto-correlation is estimated for eac...

Due to the shortcomings of the traditional drilling way, as well as the complexity and difficult mathematical model of the drilling process, etc, this paper briefly analyses the principle of auto-drilling system on AC frequency conversion and the relationship among all factors that affects on the auto-drilling and puts forward a technology that combines parameters' self-tuning fuzzy control wit...

In signal processing, four functions of one variable are commonly used. They are the signal in time, the spectrum, the auto-correlation function of the signal, and the auto-correlation function of the spectrum. The variables of these functions are denoted, respectively, as time, frequency, lag, and doppler. In time-frequency analysis, these functions of one variable are extended to quadratic fu...

We present results of numerical investigations of the Nagel-Schreckenberg model, a microscopic traffic flow model based on a cellular automaton. This model exhibits a jamming transition with increasing vehicular density from a free-flow phase to a congested phase. The transition manifests in the behavior of the auto-correlation function which permits the determination of the velocity of upstrea...

We present results of numerical investigations of the Nagel-Schreckenberg model, a microscopic traffic flow model based on a cellular automaton. This model exhibits a jamming transition with increasing vehicular density from a free-flow phase to a congested phase. The transition manifests in the behavior of the auto-correlation function which permits the determination of the velocity of upstrea...

A routing algorithm is proposed that analyzes network traffic conditions using time series prediction models and determines the best-effort routing path. To predict network traffic, time series models are developed under the stationary assumption, which is evaluated using the Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF). Traffic congestion is assumed when the pre...

This paper deal with the symbol timing issue of an OFDM system in fast varying channel. Symbol timing offset (STO) estimation is a major task in OFDM. Most of existing methods for estimating STO used cyclic prefix or training sequences. In this paper, we consider a new system for STO estimation using constant amplitude zero auto-correlation (CAZAC) sequences as pilot sequences in conjunction wi...