LW

采用MATLAB语言变异的矩阵特征值计算程序，需要的下载吧(eigenvalue computation)

matlab对一幅图像，采用半径值为20、80、200的截止频率进行理想低通滤波，观察其结果。要求给出原图像及相应的付利叶频谱图和滤波结果(For an image, using the radius value of the cutoff frequency 20,80,200 ideal low-pass filter to observe the results. Required to give the original image and the corresponding Fourier spectrum and filtering results)

说明：  电机参数 鼠笼异步电机 基本参数：Pn=2200W Un=380V fn=50Hz J=0.19Kg·m2 磁极对数p=2 定子电阻：0.435ohm 电感0.002H 转子电阻：0.816ohm 电感0.002H Lr=Lm+Llr=0.069+0.002=0.071 励磁电感：Lm=0.069H Tr=0.087=Lr/Rr=0.071/0.816 调节器参考值 ASR的 Kp=3.8 Ki=0.8 积分器限幅-80~80 调节器输出限幅-75~75 ATR的 Kp=4.5 Ki=12 积分器限幅-65~65 调节器输出限幅-60~60 APhirR的 Kp=1.8 Ki=100 积分器限幅-15~15 调节器输出限幅-13~13 给定转速为1000转 空载启动 在0.6s时加载55N·m的负载 如果积分没有初值 那么这个积分没有办法计算(Squirrel cage asynchronous motor)

state flow program in Matlab simulink.

一个自己编写的基于简化算法的单因变量的偏最小二乘回归，附带建模预测及奇异点的鉴别。(I have written a simplified algorithm based on a single by partial least squares regression, with model prediction and singular points of differentiation.)

介绍独立分量分析的很经典的一本书，芬兰人写的，全英文原版，高清！(Introduce independent component analysis classic book, Finns writing English original, high-definition!)

介绍了卷积码的特点以及卷积码的编码和解码, 讨论了加入交织后的对卷积编码的误码率的改 善情况, 并(Describes the characteristics of convolutional codes, and convolutional code encoding and decoding, after the discussion by adding cutting the error rate of the convolutional coding to improve the situation and)

在matlab上将图像从空间域变换到频率域，主要包括Radon变换和反变换、傅里叶变换和反变换、离散余弦变换和反变换等(In matlab image will be transformed the spatial domain to the frequency domain, including the Radon transform and inverse transform, Fourier transform and inverse transform, the discrete cosine transform and inverse transform)

产生ALPHA稳定分布信号matlab函数。适用于仿真带有尖峰的噪声信号。(ALPHA stable distribution signals generated matlab function. For the simulation of the noise signal with a spike.)

搜集了几种人工只能算法，基于Matlab平台编写，包括聚类、统计稀疏、最小范数法、DOA、投影追踪、稀疏贝叶斯等(Several artificial algorithms are collected and compiled on the platform of matlab, including clustering, statistical sparseness, minimum norm method, DOA, projection tracking, sparse Bayesian, etc.)