For a successful hearing instrument fitting, it is essential to meet three categories of auditory criteria: loudness/audibility, speech intelligi-bility and sound quality. Audibility and loud-ness are quantified by pure tone audiometry and loudness scaling. For measuring speech intelligibility a range of different procedures are available for both aided and unaided testing conditions. A method ...

Decisions are often based on the results of quantitative analysis. To gain confidence in these results, some indication of their quality is needed. Measurement uncertainty, as proposed by the International Organization for Standardization (ISO), is a way to express this quality. Most measurement techniques compare references and therefore need to be calibrated. Usually least squares methods ign...

the kinetics of molybdenite oxidation was studied by non-isothermal tga-dta with heating rate 5 ºc.min-1.the model-fitting kinetic approach applied to tga data .the coats-redfern method used for model fitting. the popular model-fitting gives excellent fit for non-isothermal data in chemically controlled regime. the apparent activation energy was determined to be about 34.2 kcalmol-1 with pre-ex...

The Curve Fitting and Interpolation Model are applied in Nonel dosage detection in this paper firstly, and the gray of continuous explosive in the Nonel has been forecasted. Although the traditional infrared equipment establishes the relationship of explosive dosage and light intensity, but the forecast accuracy is very low. Therefore, gray prediction models based on curve fitting and interpola...

Geometric iterative method, also called progressive-iterative approximation (PIA), is an iterative method with clear geometric meaning. Just by adjusting the control points of curves or surfaces iteratively, the limit curve or surface will interpolate (approximate) the given data point set. In this paper, we introduce the geometric iterative method in two aspects, i.e., theory and application. ...

let $r$ be a commutative ring with identity and $m$ be a finitely generated unital $r$-module. in this paper, first we give necessary and sufficient conditions that a finitely generated module to be a multiplication module. moreover, we investigate some conditions which imply that the module $m$ is the direct sum of some cyclic modules and free modules. then some properties of fitting ideals of...

We analyze an alternative to classical Zernike fitting based on the cubic B-spline model, and compare the strengths and weaknesses of each representation over a set of different wavefronts that cover a wide range of shape complexity. The results obtained show that a Zernike low-degree polynomial expansion or a cubic B-spline with a low number of breakpoints are the best choices for fitting simp...

A new implicit surface fitting method for surface reconstruction from scattered point data is proposed. The method combines an adaptive partition of unity approximation with least-squares RBF fitting and is capable of generating a high quality surface reconstruction. Given a set of points scattered over a smooth surface, first a sparse set of overlapped local approximations is constructed. The ...

An effort is made to minimize the arithmetic intricacy of signal by using the VHDL module on FPGA. A curve fitting algorithm is used for finding the fundamental frequency of a given signal. Modification of algorithm is reducing the arithmetic complex-city become extinct the cubic solution. This is mature a fast approach for the signal processing and reduced the resultant error .This is made a c...

One of the important functions of an Intelligent Transportation System (ITS) is to classify vehicle types using a vision system. We propose a method using machine-learning algorithms for this classification problem with 3-D object model fitting. It is also necessary to detect road lanes from a fixed traffic surveillance camera in preparation for model fitting. We apply a background mask and lin...