ParticleEx1

说明：  texture feature extraction using matlab

matlab中采样mp3格式的音频文件的程序，包含注释。(matlab mp3 audio sample rate)

随机权神经网络预测光伏电池的光功率的matlab仿真源代码(A random vector functional link network (RVFLN)It is proved that the RVFLN not only trains much faster with good generalization performance, but also overcomes some pos- sible fl aws (such as the low convergence rate and the local minimum) of the BP algorithm. But poor quality RVFLN is usually obtained whenever the training data are corrupted with outliers.)

Plant Classification is the placing of known plants into groups or categories to show some relationship. They use features that can be used to group plants into a known hierarchy. This research focuses on the mobile based application for plant identification through leaf recognition. Apart using the whole plant, the automation of plant identification can be performed using various parts of a plant anatomy like stem, flower, petal, seed and leaf. This study uses the leaf part of the plant to identify a plant. The ease of creating digital images increased the need for processing power of computers and inexpensive methods. In order to gather the information, plant identification using computers has become an interesting subject of research. Global shortage of expert has further increased the demand for semi automated tools that would allow non-botanical persons to carry out valuable field work of identifying and characterizing plants.

this file denoise the pcg signal by wavelet and find the best wavelet who denoise the pcg signal

matlab file venturinin method

利用PEM函数对MAF传感器的阶跃响应实验数据，进行辨识建模(use PEM MAF sensor function to the step response data for identification modeling)

计算赫斯特指数Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.(Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.)

说明：  使用最小二乘支持向量机对数据集进行回归预测的程序(The program of regression prediction for data set using least squares support vector machine)

matlab相关教程PPT，适用于MATLAB初学者。(matlab tutorials PPT, MATLAB for beginners.)