two_joint_workspace

1 设计一个ＦＩＲ数字低通滤波器， 满足一组模拟滤波器的指标参数；分别采用三角窗、hamming窗、blackman窗和kaiser窗进行设计。比较不同窗的设计效果。要求描绘滤波器的脉冲响应、窗函数以及滤波器的幅频和相频响应曲线。 2. 用上述设计滤波器完成几组给定信号的滤波。 3.设计数字高通、带通、带阻滤波器，要求描绘滤波器的脉冲响应以及滤波器的幅频和相频响应曲线。 (1、A design of a FIR digital low-pass filter, analog filters to meet the target of a group of parameters were used triangular window, hamming window, blackman windows and kaiser window design. Window to compare different design effect. Requirements described impulse response filter, window function and the filter amplitude-frequency and phase frequency response curve. 2. Using the above filter was designed to complete several sets of a given signal filtering. 3. Design of digital high-pass, band pass, band-reject filter, the filter impulse response described demand as well as the filter amplitude-frequency and phase frequency response curve.)

基于FFT的图像拼接程序，matlab实现的(Based on the FFT of the image mosaic program, matlab achieved)

参数不确定性分析方法GLUE 来自王书功水文模型参数估计及不确定性分析(Generalized Likelihood Uncertainty Estimation)

具有丰富的参数选项,用于特征降维，特征融合，相关分析等,基于kaiser窗的双谱线插值FFT谐波分析。( It has a wealth of parameter options, For feature reduction, feature fusion, correlation analysis, Dual-line interpolation FFT harmonic analysis kaiser windows.)

K2算法的代码，matlab编程，包含例子(Code for the K2 algorithm, matlab programming, including examples)

针对异步电动机转子磁链定向的矢量控制系统，逆变部分采用的三电平拓扑结构，算法是采用的传统的SVPWM调制方法。(For the vector control system of induction motor rotor flux orientation, the three level topology is adopted in the inverter, and the algorithm is the traditional SVPWM modulation method.)

说明：  hough变换对圆的检测，h ough变换对圆的检测(hough transform circle test, h ough transform for circle detection)

这是一个关于低密度检验码的很好的matlab程序(This is a low-density test on the code of good Matlab procedures)

Physical Modeling in MATLAB ebook

使用matlab进行数值分析时重要的参考资料，具体包含内容可以看英文描述(This text is written primarily for students/readers who have a good background of high school algebra, geometry, trigonometry, and the fundamentals of differential and integral calculus. This text includes the following chapters and appendices: . Introduction to MATLAB . Root Approximations . Sinusoids and Complex Numbers . Matrices and Determinants . Review of Differential Equations . Fourier, Taylor, and Maclaurin Series . Finite Differences and Interpolation . Linear and Parabolic Regression . Solution of Differential Equations by Numerical Methods . Integration by Numerical Methods . Difference Equations . Partial Fraction Expansion . The Gamma and Beta Functions . Orthogonal Functions and Matrix Factorizations . Bessel, Legendre, and Chebyshev Polynomials . Optimization Methods . Difference Equations in Discrete Time Systems . Introduction to Simulink . Ill Conditioned Matrices Each chapter contains numerous practical applications supplemented with detailed instructions for using )