Comparison between Spectral-based Methods for INL Estimation And Feasibility of Their Implantation
نویسندگان
چکیده
The Integral Non-Linearity (INL) is the most significant static parameter of Analog-to-Digital Converters. This paper presents a comparison between different INL test techniques based on INL estimation from the spectrum of the converted signal. Then, we investigate whether the most accurate technique is applicable in a realistic hardware configuration.
منابع مشابه
Development of an Index-based Regression Model for Soil Moisture Estimation Using MODIS Imageries by Considering Soil Texture Effects
Soil moisture content (SMC) is one of the most significant variables in drought assessment and climate change. Near-real time and accurate monitoring of this quantity by means of remote sensing (RS) is a useful strategy at regional scales. So far, various methods for the SMC estimation using a RS data have been developed. The use of spectral information based on a small range of electromagnetic...
متن کاملSPOT-5 Spectral and Textural Data Fusion for Forest Mean Age and Height Estimation
Precise estimation of the forest structural parameters supports decision makers for sustainable management of the forests. Moreover, timber volume estimation and consequently the economic value of a forest can be derived based on the structural parameter quantization. Mean age and height of the trees are two important parameters for estimating the productivity of the plantations. This research ...
متن کاملA Novel Sampling Approach in GNSS-RO Receivers with Open Loop Tracking Method
Propagation of radio occultation (RO) signals through the lower troposphere results in high phase acceleration and low signal to noise ratio signal. The excess Doppler estimation accuracy in lower troposphere is very important in receiving RO signals which can be estimated by sliding window spectral analysis. To do this, various frequency estimation methods such as MUSIC and ESPRIT can be adopt...
متن کاملTarget Detection Improvements in Hyperspectral Images by Adjusting Band Weights and Identifying end-members in Feature Space Clusters
Spectral target detection could be regarded as one of the strategic applications of hyperspectral data analysis. The presence of targets in an area smaller than a pixel’s ground coverage has led to the development of spectral un-mixing methods to detect these types of targets. Usually, in the spectral un-mixing algorithms, the similar weights have been assumed for spectral bands. Howe...
متن کاملCapacity Drop Estimation Based on Stochastic Approach Applied to Tehran-Karaj Freeway
Existence of capacity drop phenomenon, as the difference between pre-queue and queue discharge flow rates, has been one of the controversial concepts of traffic engineering. Several researches have focused on capacity drop existence and also its estimation issues. This paper aims to estimate capacity drop based not only on a comparison between breakdown and queue discharge flow rates, but also ...
متن کامل