matlab11

这是有关matlab的编程，值得一看，呵呵呵呵呵呵呵呵(matlab)

雷达系统鉴别于基于matlab设计 英文版(Radar Systems Analysis and Design Using MatLab)

热力学换热器，进行simulink仿真，可以设定材质以及换热系数，同理可改造成冷凝器(Thermodynamic heat exchanger, were simulink simulation, you can set the material and heat transfer coefficient, empathy can be transformed into a condenser)

包含位置式PID算法、积分分离式PID，GPS和INS组合导航程序，可以实现模式识别领域的数据的分类及回归，预报误差法参数辨识-松弛的思想，车牌识别定位程序的部分功能，正确率可以达到98％。(It contains positional PID algorithm, integral separate PID, GPS and INS navigation program, You can achieve data classification and regression pattern recognition, Prediction Error Method for Parameter Identification- the idea of relaxation, Part of the license plate recognition locator feature, Accuracy can reach 98 .)

说明：  对s进行小波分解，提取小波分解的低频系数，提取小波分解的各层高频系数，绘出各系数的图形(Wavelet decomposition of the s to extract the low frequency coefficients of wavelet decomposition to extract the layers of high-frequency coefficients of wavelet decomposition, the coefficients of the graphics drawn)

独立分量ica：快速ICA算法软件包是基于MATLAB程序实现的快速定点独立成分分析和投影寻踪算法。它具有一个易于使用的图形用户界面，以及强大的计算算法。(The FastICA package is a free (GPL) MATLAB program that implements the fast fixed-point algorithm for independent component analysis and projection pursuit. It features an easy-to-use graphical user interface, and a computationally powerful algorithm)

用Matlab处理GPS导航卫星观测数据的程序，也就是O文件，Rinex 2.11版本，代码仅200多行，且包含大量注释，于2017.12.2日调试通过，可顺利读取体积达10M+的O文件，读取的数据准确无误。函数调用格式： [APXYZ DeltaHEN signal_type obsdata] = read_obs(‘krgg3340.17o’)(Using Matlab to process GPS navigation satellite observation data program, that is, O file, Rinex 2.11 version, the code is only more than 200 rows, and contains a lot of annotations. It debugged on 2017.12.2 day. It can smoothly read the O file with volume up to 10M+, and the data read is accurate.)

说明：  InSAR数据处理程序。otb-insar master(InSARotb-insar master)

sphere collision in a square domain

说明：  基于Matlab的频谱分析,时域抽样定理,FFT的仿真以及应用FFT对典型信号进行频谱分析的方法。 (Matlab-based spectrum analysis, time domain sampling theorem, FFT of the simulation and the application of FFT on the typical signal spectrum analysis.)