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matlab程序设计灰度处理格式转换源码matlab programming process in gray format conversion source(matlab programming gray handle format conversion source matlab programming process in gray format conversion source)

直升机旋翼系统测试数据，共10个mat文件，包含测试数据和训练数据。(Helicopter rotor system test data)

使用matlab对交通标志进行定位，以及识别，简单易懂(The use of MATLAB on traffic signs for positioning, as well as identification, easy to understand)

关于模糊PID的仿真以及与普通PID的结果比较(Simulation comparison of fuzzy PID)

多种图像边缘检测与分割处理,基于matlab实现。(A variety of image edge detection and segmentation processing, based on the realization of matlab.)

基于svpwm（矢量控制技术）的电机仿真模型，在simulink里面仿真-(Based on svpwm (vector control technology) simulation model of permanent magnet synchronous motor, which in simulink simulation)

MATLAB实现ASK, OOK, FSK, BPSK, QPSK, 8PSK调制源代码(Free Source Code for ASK, OOK, FSK, BPSK, QPSK, 8PSK Digital Modulation in FPGAs Xilinx using system generator (ASK, BPSK, FSK, OOK, QPSK) )

基于状态观测器的二自由度汽车建模及控制分析，有动画直观显示(State observer based on two degrees of freedom and control of automotive modeling analysis has animated visual display)

在matalab开发环境下的实现时域信号多尺度的分析，可用于信号的特征抽取和故障诊断(Multi-scale analysis of time-domain signal achieved in matalab development environment can be used for feature extraction and fault diagnosis signal)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)