Luetooth Stereo Audio System with Active Noise Cancelation

U. O. Mabel, O. O. Henry, O. A. Adedayo
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Abstract

although, sound systems are obtainable for outdoor use, battery-powered audio devices are what is mostly found in today’s portable music. Using a class D Audio amplifier, it is possible to couple a Bluetooth device with the amplifier, coming up with a system that can receive and process audio signals through Bluetooth connection. With every communication system, Noise is always considered as unwanted signal. The signal to noise ratio statistical characteristics in practical application can’t be learned or are usually unknown so that we barely design fix coefficient digital filter in insinuation to the noise problem in the Bluetooth stereo audio system.The “on-line” FIR or IIR filter weights of active noise and vibration control systems of an adaptive algorithm used for optimizing is basically derived from adaptive algorithms used in systems such as telescope adaptive optics and telephone echo-cancellers to cancel unwanted” noise “optics and thus develop distant star signals.In this work an adaptive noise cancellation system is designed to minimize the noise in the Bluetooth stereo audio system. Using the least mean square (LMS) algorithm, the coefficient of the filter in the active noise cancellation system is altered in variation to noise signal characteristics, which in turn made the active noise system adaptive.
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具有主动降噪功能的蓝牙立体声音响系统
虽然,音响系统可用于户外使用,但电池供电的音频设备主要用于今天的便携式音乐。使用D类音频放大器,可以将蓝牙设备与放大器耦合,从而形成一个可以通过蓝牙连接接收和处理音频信号的系统。在每个通信系统中,噪声总是被认为是不需要的信号。实际应用中的信噪比统计特性无法获知或通常是未知的,因此针对蓝牙立体声音响系统中的噪声问题,我们很少设计固定系数数字滤波器。用于优化的自适应算法的主动噪声和振动控制系统的“在线”FIR或IIR滤波器权重基本上来源于望远镜自适应光学和电话回声消除器等系统中使用的自适应算法,以消除不需要的“噪声”光学,从而产生遥远的恒星信号。本文设计了一种自适应噪声消除系统,以最大限度地降低蓝牙立体声音频系统中的噪声。采用最小均方(LMS)算法,在有源噪声消除系统中改变滤波器系数随噪声信号特征的变化,从而使有源噪声系统具有自适应能力。
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期刊介绍: Remote Sensing Information is a bimonthly academic journal supervised by the Ministry of Natural Resources of the People's Republic of China and sponsored by China Academy of Surveying and Mapping Science. Since its inception in 1986, it has been one of the authoritative journals in the field of remote sensing in China.In 2014, it was recognised as one of the first batch of national academic journals, and was awarded the honours of Core Journals of China Science Citation Database, Chinese Core Journals, and Core Journals of Science and Technology of China. The journal won the Excellence Award (First Prize) of the National Excellent Surveying, Mapping and Geographic Information Journal Award in 2011 and 2017 respectively. Remote Sensing Information is dedicated to reporting the cutting-edge theoretical and applied results of remote sensing science and technology, promoting academic exchanges at home and abroad, and promoting the application of remote sensing science and technology and industrial development. The journal adheres to the principles of openness, fairness and professionalism, abides by the anonymous review system of peer experts, and has good social credibility. The main columns include Review, Theoretical Research, Innovative Applications, Special Reports, International News, Famous Experts' Forum, Geographic National Condition Monitoring, etc., covering various fields such as surveying and mapping, forestry, agriculture, geology, meteorology, ocean, environment, national defence and so on. Remote Sensing Information aims to provide a high-level academic exchange platform for experts and scholars in the field of remote sensing at home and abroad, to enhance academic influence, and to play a role in promoting and supporting the protection of natural resources, green technology innovation, and the construction of ecological civilisation.
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