Wavelet transform is a time-scale (time-frequency) analysis method of signal. It is a time-frequency localization analysis method that the window size is fixed and the...
Dynamic programming is suitable for solving optimal problems and finding the maximum and minimum values, which can significantly reduce the time complexity. Dynamic programming algorithm...
Given the longitude and latitude of 34 provincial capitals (including municipalities directly under the central Government) in China, it is required to travel from Beijing...
Ant colony optimization algorithm (ACO), also known as ant algorithm, is a probabilistic algorithm used to find optimal paths. It was proposed by Marco Dorigo...
Bayesian classifier is the general name of classifier based on Bayesian principle. It is a generative model, among which naive Bayesian classifier is the simplest...
1 fractal interpolation is according to the principle of self-similarity and fractal geometry to send generation function system ifs theory, the known data interpolation into...
Particle swarm Optimization (PSO) is an evolutionary computation technology. It comes from the study of predation behavior in flocks of birds. The basic idea of...
With the development of intelligent transportation system, vehicle AD hoc networking (VANET) has become a popular network communication technology in this field. Vehicle-mounted network is...
If ~ isPC, error(' Microsoft Win32 API required. If ~ischar(TXT), error(' the first argument is a string. SV = actxserver('SAPI.for k = 0:TK.if strcmpi(voice,TK.Item(k)....
Chimpanzee optimization Algorithm (ChOA) is a new meta-heuristic optimization algorithm proposed by M. Hi She et al in 2020 based on the hunting behavior of...
What is Kalman filter Kalman filter is suitable for estimating the optimal state of a dynamic system. Even if the observed system state parameters contain...