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Anapplicationsystemofprobabilisticsoundsourcelocal
- 结合马尔可夫过程,提出一种概率论的声源定位算法,并给出了基于DSP的机器人实现。其中声源定位部分采用三个麦克风呈三角形放置,为减小由于噪声等引起的TDOA估计误差,采用马尔可夫过程计算时延,这样计算的时延会更可靠。该方案中的声源定位也属于一维定位,即只需知道声源的方向角-Combination of Markov process, a probability theory of sound source location algorithm, and give the robot based o
Two-microphone-Separation-of-Speech
- TWO MICROPHONES SEPARATION TECHNIQUES
Diffuse.m
- Creates the diffuse noise for a set of microphones in a closed room with various powers based on the positions of the microphones.
Noise-Reduction-
- 采用维纳滤波实现降噪的详细描述,包含单个话筒与多个话筒两种情形-Wiener filtering noise using a detailed descr iption of a single microphone and a plurality of microphones including two cases
A-Novel-Approach-for-the-Detection
- In this paper, we propose a robust and low-complexity acoustic source localization technique based on time differences of arrival (TDOA), which addresses the scenario of distributed sensor networks in 3D environments. Network nodes are assumed
Channel-equalization
- CHANNEL EQUALIZATION AND BLIND DECONVOLUTION Blind deconvolution is the process of unravelling two unknown signals that have been convolved. An important application of blind deconvolution is in blind equalization for restoration of a sign