A-Simplified-Rotor-System

信号与系统基础知识包括连续信号与模型、离散信号与模型；常用信号变换包括Z变换、Chirp Z变换、FFT变换、DCT变换和Hilbert变换等；离散系统结构包括IIR、FIR和Lattice结构；IIR滤波器设计包括模拟和数字低通、高通、带通与带阻滤波器设计，以及基于冲激响应不变法和双线性Z变换法的IlR滤波器设计等；FIR滤波器设计包括基于窗函数、频率抽样法和切比雪大逼近法的FIR滤波器设计；平稳信号分析包括经典功率谱估计、基于参数模型的功率谱估计和基于非参数模型的功率谱估计；非平稳信号分析包括STFT变换、Gabor展开、Wigner-Ville分布与Choi-Williams分布；非高斯信号分析包括基于非参数法的双谱估计、基于参数模型的双谱估计，以及双谱估计的应用；信号处理的GUI实现包括滤波器设计与分析的FDATool工具和滤波器设计与信号分析的SPTool工具。(signals and systems based on knowledge, including continuous signal with the model, discrete signal and model; Common signals include transform Z transform, chirp Z-transform, FFT transform. DCT and Hilbert transform; Discrete system architecture including IIR, FIR and Lattice structure; IIR filter design, including analog and digital low-pass, high-pass, band-pass and band stop filter design, Based on the impulse response of the same law and bilinear Z transform the IlR filter design; FIR filter design including on the basis of the window function, frequency sampling and snow all over the big approximation of FIR filter design; stationary signal analysis include classical power spectrum estimation, Based on the model parameters of the power spectrum estimation and non- parametric model b)

To find the bilinear interpolation by considering row and column duplication.

有关图像图形处理 图像识别 主成分分析法，模板匹配等识别方法的Matlab程序(Principal component analysis (pca) on video image processing image recognition, template matching identification methods, such as Matlab)

该程序主要是实现基于暗原色先验进行的去雾程序，希望对进行此项研究的人有所帮助(The program is used to dehazing,which is based on dark channel.)

7位巴克码的matlab仿真,7位巴克码的matlab仿真,7位巴克码的matlab仿真.(7bit Baker matlab simulation,)

Image Bit plane slicing

MATLAB用于非线性方程组的求解问题，用的方法是牛顿迭代法(the solution of nonlinear functions)

设计一个模糊控制器，通过调节阀门将水位稳定在固定点附近。(Design a fuzzy controller, water level by adjusting the valve will stabilize at a fixed point nearby.)

说明：  很好的免费学些 verilog教程 欢迎下载(Learn a good free download verilog tutorials welcome)

基于纹理的形状恢复和纹理的应用,利用离散小波框架模极值共生距阵的分类算法，能够很好的修得复大块缺损的图像(Based on the shape and texture, using the texture application framework of discrete wavelet modulus maximum symbiosis of classification algorithm is very good, can you answer large defect image)