Speech signals are inevitably mixed with noise during encoding and transmission, potentially degrading the speech quality at the receiving end. Therefore, it is necessary to adopt certain methods to improve the signal...
详细信息
The study presents an informatic model for signalprocessing and noise reduction, harnessing the assistance of mathematics. advanced noise reduction algorithms are applied to improve signal quality. A MATLAB program w...
详细信息
In conventional interactive multiple model (IMM) algorithm, the fixed transition probability matrix results in slow model switching and low tracking accuracy. Existing adaptive transition probability IMM algorithms st...
详细信息
Remote sensing product production is an important task in the field of remote sensing engineering. Compared with the production process of remote sensing products, the implementation process of remote sensing product ...
详细信息
Currently, one of the important problems related to data mining is the processing of large data sets. The article presents an algorithm that can be used in issues related to the classification of large-volume data set...
详细信息
ISBN:
(纸本)9783031640667;9783031640674
Currently, one of the important problems related to data mining is the processing of large data sets. The article presents an algorithm that can be used in issues related to the classification of large-volume data sets. The motivation to define this type of algorithm was the fact that currently the methods used to process this type of data are subject to several significant limitations. The first significant limitation in the use of classical classification methods is the need to ensure a constant data size. The second type of limitation is related to the dimension of the data. The last type of limitation that occurs when using classic classification algorithms is related to the situation that a given input vector may contain data belonging to many classes at the same time, then we are talking about the so-called multiclass *** work attempts to define a data classification algorithm inspired by the method of chromatographic separation of chemical substances. This method is widely and successfully used in analytical chemistry. The article presents the results of calculations for sample data sets and discusses issues related to the properties of the defined algorithm, which concern the algorithm training process and the classification of single-class, multi-class and variable-length data vectors.
A moving sound signal separation method based on the sparse representation of Doppler atoms is proposed to address the interference problem of wheel rail contact noise in the process of collecting train bearing signal...
详细信息
The number of individuals within a group is crucial information for the correct association, robust tracking, and situation awareness. Traditional methods using the range profile's peaks are not suitable when targ...
详细信息
In radar ground stationary or slow-moving target detection, the target detection algorithm based on High-Resolution Range Profile (HRRP) is an important technical approach. Traditional target detection algorithms base...
详细信息
With the rapid development of urban transportation, taxi trajectory data has become an important resource. However, processing large-scale taxi trajectory data requires addressing issues such as error analysis and pro...
详细信息
Wide usage of Frequency Modulated Continuous Wave (FMCW) radar systems as part of advanced Driver Assistance Systems in recent years have led to the problem of mutual interference mitigation between radars on the road...
详细信息
暂无评论