PMSM_FOC

hybrid power train simulation

对每一路图像进行小波变换，分别到其水平、垂直、四十五度角方向的高频分量以及其低频分量，得到每路图像的小波金字塔； 按取较大值的原则对两幅图像的不同层次、不同特征层的信息图分别进行融合； 根据融合的各图像分量的小波序列，进行小波逆变换，得到最后的融合图像。 (Road images of each wavelet transform, respectively, to its horizontal, vertical, 45 degree angle the direction of high-frequency components as well as its low-frequency components obtained for each road image wavelet pyramid according to the principles of taking a larger value of the two images different levels of information mapping feature level fusion respectively the basis of integration of various components of the wavelet image sequences, inverse wavelet transform, to be the final fusion image.)

FISMAT accommodates different arithmetic operators, fuzzification and defuzzification algorithm, implication relations, and different method of approximate reasoning such as Compositional Rule of Inference (CRI) and Approximate Analogical Reasoning Scheme based on Similarity Measure.

说明：  随机共振的MATLAB源程序，运用龙哥库塔算法进行的仿真 (sr based on matlab using the longewan function to simulate )

MATLAB 计算三角定位，根据信号强度进行定位。(The MATLAB calculation triangulation, locate based on signal strength.)

迭代自组织数据分析，部分实现了追踪测速迭代松弛算法，研究生时的现代信号处理的作业，处理信号的时频分析，大学数值分析算法，可以广泛的应用于数据预测及数据分析,包含CV、CA、Single、当前、恒转弯速率、转弯模型，有PMUSIC 校正前和校正后的比较。( Iterative self-organizing data analysis, Partially achieved tracking speed iterative relaxation algorithm, Modern signal processing jobs when the graduate, When processing a signal frequency analysis, University of numerical analysis algorithms, Can be widely used in data analysis and forecast data, It contains CV, CA, Single, current, constant turn rate, turning model, A relatively before correction and after correction PMUSIC.)

说明：  如何用MATLAB的神经网络工具箱实现三层BP网络。仿真出一个3层的BP网络(如 ?斡肕ATLAB的神 ?网络 ???呦涫迪秩??鉈P网络 ??抡??鲆 桓 ? ?愕腂P网络)

一个关于ofdm的MATLAB仿真源代码(OFDM MATLAB )

用MATLAB实现车牌识别，包括定位、分割和字符识别，识别方法是神经网络(License Plate Recognition Using MATLAB implementation, including positioning, segmentation and character recognition, neural network identification method is)

高阶谱估计被开发出来，一直为人们所关注，只要信号和噪声中有一种是高斯分布，则累量的运用非常方便解决问题！(Higher order spectral estimation have been developed, has been a continuing concern, as long as there is a signal and the noise is Gaussian distribution, the cumulative amount of use is very easy to solve the problem!)