chazhi_sanciyangtiao

永磁同步电机的模糊矢量控制仿真模型，拿出来和大家分享。(simulation model of PMSM based on fuzzy FOC)

3 gaussian random variable generation and plotting using matlab code

Extraction of background

基于matlab的小波神经网络的时间序列计算，欢迎大家使用。(Time series matlab wavelet neural network-based computing, welcome everyone to use.)

比较全面的介绍了matlab对各种格式文件（包括.cdf等科学格式）的读写操作(More comprehensive description of the matlab files of various formats (including the cdf scientific format) read and write operations)

Estimating Attitude from Vector Observations Using a Genetic Algorithm-Embedded Quaternion Particle Filter 介绍了一种基于四元数粒子滤波的方法(Estimating Attitude from Vector Observations Using a Genetic Algorithm-Embedded Quaternion Particle Filter presents a quaternion-based particle filter method)

介绍powerdesinger的书，希望对大家有帮助。(Introduced powerdesinger the book, we hope to help.)

该程序主要是比较对信号分别进行希尔伯特变换HT和广义希尔伯特变换GHT所得到瞬时相位的比较，结果证明GHT较HT对信号有较好抗噪特性，同时瞬时相位也可以用来重构信号，但主要起了指示的作用。(We can get instantaneous phase of the signal by HT or GHT，and the results prove that GHT has better noiseproof feature,namely robustness than HT.In the meantime,we could restruct signal using the information of instantaneous phase,but it mainly has good directives roles.)

Decompose image into subbands, denoise, and recompose again. fh = decomp_reconst(im,Nsc,Nor,block,noise,parent,covariance,optim,sig) covariance: are we considering covariance or just variance? optim: for choosing between BLS-GSM (optim = 1) and MAP-GSM (optim = 0) sig: standard deviation (scalar for uniform noise or matrix for spatially varying noise) Version using the Full steerable pyramid (2) (High pass residual splitted into orientations). JPM, Univ. de Granada, 5/02 Last Revision: 11/04

利用周期图法对序列的功率谱进行估计。数据窗采用汉明窗。假设在白噪声中分辨这三个不同频率的正弦信号,其相位是均匀分布在2PI的独立随机变量,而 是一个单位白噪声.生成50个长度为N=512的 的样本序列集合。 (use map cycle sequencing method of the power spectrum estimation. Data window using Hamming window. Assume that the white noise to differentiate between the three different frequency sinusoidal signal, its phase is uniformly distributed in the PI two independent random variables. but a flat white noise. Generating 50 length N = 512 samples of the sequence set.)