apf51

非线性方程求解1--5（3） 非线性方程求解1--5（3）

说明：  Dynamic and steady state model of Doubly fed induction generator back to back supply for wind energy power system using matlab

用汉宁窗函数法设计一个数字FIR高通滤波器，要求通带边界频率为500Hz，阻带边界频率为400Hz，通带最大衰减1dB，阻带最小衰减40dB，抽样频率为2000Hz，用MATLAB画出幅频特性，画出并分析滤波器传输函数的零极点(With han ning window function method to design a digital FIR high-pass filter, request bandpass boundary frequency for 500 Hz, stop-band boundary frequency for 400 Hz, bandpass biggest 1 dB attenuation, stop-band attenuation least 40 dB, sampling frequency for 2000 Hz, MATLAB draw the amplitude frequency characteristics, painted and analysis filter transmission function of zero poles)

阵列信号处理中经典的ESPRIT方法的matlab编程，对理解阵列信号处理有很好的帮助；(Array signal processing in the classic ESPRIT method matlab programming, to understand the array signal processing has a very good help )

function strlen and strcpy and strcut in c++ and c for use

张量分解提取生物学特征，NFEA: Tensor Toolbox for Feature Extraction and Applications( Data in modern applications such as BCI based on EEG signals often contain multi-modes due to mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials, epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and analysis, dimensionality of the data could be augmented due to expression of the data into sparse domain (time-frequency representation) by different transforms such as STFT, wavelets. That means data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze such data by considering them as vectors or matrices might be not suitable due to risk of losing the covariance information among various modes. To discover hidden multilinear structures, features within the data, the analysis tools should reflect the multi-dimensional structure of the data)

说明：  用MATLAB计算SCED模型，多样化约束函数，二次项目标函数(Sced model based on MATLAB)

RANSAC image processing

Laws texture Energy

skin segmentation in matlab environment