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MATLAB下通过impulse invariant transformation方法设计数字滤波器，包含低通和带通滤波器代码。(Using MATLAB m-file to design LP and BP digital filter by impulse invariant transformation method.)

说明：  本资料 是关于MATLAB gui 将有助于读者对MATLAB的学习(This information is on the MATLAB gui will help readers to learn MATLAB)

该算法在原有的算法基础上提出的TDOA泰勒算法，可以用在传感器定位和蜂窝网定位。且该算法的定位精度比较高。(The algorithm is based on the original algorithm proposed TDOA Taylor algorithm can be used in sensor positioning and cellular location. And the algorithm is relatively high positioning accuracy.)

FIR滤波器的设计代码，这是其中的第三部分，一共有四部分(FIR filter design code, which is the third part of a total of four parts)

用于地基合成孔径雷达实测数据成像，信号形式为调频脉冲信号，包含有IQ解调，脉冲压缩，加窗，相位补偿等步骤，采用BP成像算法进行成像。(It is used to imaging the measured data of ground synthetic aperture radar (SAR). The signal form is a FM pulse signal, which includes IQ demodulation, pulse compression, window adding, phase compensation and so on. The BP imaging algorithm is used for imaging.)

钟麟《Matlab仿真技术与应用教程》学习用(Zhong Lin Matlab Simulation Technology and Application Guide)

一中Ldpc编码，使用matlab实现的，采用的是线性编码算法，复杂度为线性(One Ldpc code, the use of matlab implementation, using a linear encoding algorithm complexity is linear)

小波阈值去噪，得到信噪比更高的信号，进行后续处理更清晰。(Wavelet threshold denoising to get higher signal noise ratio, the subsequent processing more clear。)

A PIV Post-processing and data analysis toolbox(The PIVMat Toolbox for Matlab contains a set of command-line functions to import, post-process and analyse 2- and 3-components vector fields from PIV (particle image velocimetry), stereo-PIV, DIC (digital image correlation) SS (synthetic schlieren) or BOS (background-oriented schlieren) applications. Main Features: - Import vector fields from PIV (Particle Image Velocimetry) or other related technics, such as DIC (Digital Image Correlation), SS and BOS (Synthetic Schlieren and Background-oriented Schlieren). - Compatibale with files from DaVis (LaVision), DPIVSoft (Meunier & Leweke), VidPIV (Oxford Laser), MatPIV and Optical Flow. - Standard vector field operations: interpolation, filtering (median, Butterworth...), averaging (temporal, spatial, azimuthal...), derivatives computation (vorticity, divergence, strain, Q-factor...) - Fully vectorized: all operations directly apply on arrays of fields (no for loops) - More than 60 functions with full on-line documentation sampl)

matlab遗传算法工具箱解函数优化问题应用实例(matlab genetic algorithm toolbox solution function optimization application examples)