Sentence examples for implementation of noise from inspiring English sources

This paper describes the development and implementation of noise control measures by Docklands Light Railway (DLR), London, to meet obligations set out in its Noise and Vibration Policy, adherence to which is set by an Act of the U. K. Parliament.

Germany's thorough implementation of noise controls, according to Julia Fallenstein, a lawyer for the German Orchestra Association, dictates that "cotton swabs or disposable ear plugs are not sufficient" for protecting musicians.

Thus, implementation of noise level monitoring systems, currently used around airports, gives a noise map in residential areas but cannot identify source frequencies and their impact on the environment.

The results shown in Figures S7 and S8 confirm that they are robust to the addition of a basic implementation of stochastic noise to the LTR promoter.

This chapter discusses the development and implementation of low noise designs.

This manuscript deals with the implementation of active noise and vibration control systems on very high-speed computational architectures, more specifically on Field Programmable Gate Arrays (FPGA).

Performance of the proposed PID controller under the implementation of random noise on phases one and two of stepper motor has been proved to be accurate enough even under disturbance load currents, on the system.

SMT includes three sound propagation models: an updated version of SPreAD-GIS, based on the System for Prediction of Acoustic Detectability model; NMSIMGIS, a GIS implementation of the Noise Model Simulation (NMSim) algorithms; and an implementation of an international outdoor sound propagation standard, ISO 9613 2.

The first component of the Hearing Conservation Program HCPP) is the development and implementation of a noise-monitoring program.

In this paper we introduced a basic implementation of a noise-robust ASR system that uses the modulation spectrum, instead of the short-time spectrum to represent noisy speech signals, and sparse classification to derive state probability estimates from time samples of the modulation spectrum.

Digital computing has excellent features including flexibility in computation, easy implementation, minimal effects of noise, and lower requirement of devices to identify two states of signal.