ICA 2010 paper

ثبت نشده
چکیده

Natural ventilation and acoustic protection are two conflicting issues. In densely populated cities, open window is nearly not possible because it can provide a path for noise to break-in from external into the buildings. A special window system, namely the plenum window, was investigated in this study for its acoustical insertion loss when the window was not parallel to the road in the urban environment whilst allowing a certain degree of natural ventilation. The acoustic performance of plenum window was studied using a 1:4 scale model and a 5m long source array consisted of 25 six-inch aperture loudspeakers. The positions of sound source from the window are found to be significant in protecting transportation noise based on the trend of insertion loss spectra. The insertion loss of the device was defined by the difference of the average noise level inside the receiver room between opened window and plenum window. There was around 7dBA variation in the insertion loss over the range of source angle studied. The highest insertion loss was about 11dBA and was obtained when the window was nearly parallel to the simulated line source. Plenum window was believed to be a good acoustic window with high practicality in the densely populated urban environment.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

مقایسه عملکرد الگوریتم ICA و حالت ترکیب شده آن با فازی (FUZZY-ICA) در پیش‌بینی بارش روزانه

پیش‌بینی بارش به دلیل عدم قطعیت بالای تخمین آن، امری مشکل می‌باشد. در این پژوهش، از الگوریتم ICA و ترکیب آن با استنتاج فازی (FUZZY-ICA) برای بررسی توانایی و مقایسه عملکرد آنها در پیشبینی بارش روزانه یک اقلیم نیمه‌خشک مانند کرمان استفاده شد. برای این منظور، از 30 سال داده روزانه ایستگاه همدیدی کرمان (1981-2010) و 10 سال داده روزانه ایستگاههای همدیدی رفسنجان و زرند(2010-2001) در فصول بارش (7ماه ا...

متن کامل

A Comparison of the Performance of ICA Algorithms for Fetal ECG Extraction using Time Domain Multiple-Sources Interference Data

This paper evaluates the performance of some major Independent Component Analysis (ICA) algorithms like Hyv ̈arinen’s fixed point algorithm, Pearson based ICA algorithm and OGWE (Optimized Generalized Weighted Estimator) ICA algorithm in a biomedical blind source separation problem. Independent signals representing Fetal ECG (FECG) and Maternal ECG (MECG) generated and then mixed linearly to sim...

متن کامل

On the Performance Analysis of the ICA Algorithms with Maternal and Fetal ECG signals Inputs and Contaminated Noises

This paper evaluates the performance of some major Independent Component Analysis (ICA) algorithms like Cardoso’s Joint Approximate Diagonalization of Eigen matrices (JADE), Comon’s algorithm and Optimized Generalized Weighted Estimator (OGWE) ICA algorithm in a biomedical blind source separation problem. Independent signals representing Fetal ECG (FECG) and Maternal ECG (MECG) are generated an...

متن کامل

A New Hybrid Evolutionary Algorithm Based on ICA and GA: Recursive-ICA-GA

In this paper a new method is proposed based on the combination of ICA (Imperial Competitive Algorithm) and GA (Genetic Algorithm) which improves the convergence speed and accuracy of the optimization results. The new algorithm, which is named R-ICA-GA (RecursiveICA-GA), runs ICA and GA consecutively. It is shown that a fast decrease occurs while the proposed algorithm switches from ICA to GA. ...

متن کامل

An Introduction to Independent Component Analysis: InfoMax and FastICA algorithms

This paper presents an introduction to independent component analysis (ICA). Unlike principal component analysis, which is based on the assumptions of uncorrelatedness and normality, ICA is rooted in the assumption of statistical independence. Foundations and basic knowledge necessary to understand the technique are provided hereafter. Also included is a short tutorial illustrating the implemen...

متن کامل

Application of Ica Technique to Pca Based Radar Target Recognition

In this paper, the ICA (independent component analysis) technique is applied to PCA (principal component analysis) based radar target recognition. The goal is to identify the similarity between the unknown and known targets. The RCS (radar cross section) signals are collected and then processed to serve as the features for target recognition. Initially, the RCS data from targets are collected b...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010