Fang

使用MATLAB对多智能体实现仿真，带有时滞和扰动(multi agent system)

说明：  基于卡尔曼滤波器的目标跟踪,其中涉及有场景描述及跟踪结果分析(Kalman filter-based target tracking)

【matlab编程代做】 语音为基础的生物识别系统 可以作为参考使用源码([Do] matlab programming generation voice-based biometric systems can use as a reference source)

matlab非常全的编程实例，代码丰富，初学者的佳品(matlab very wide programming examples, code-rich, beginners Jiapin)

用ICA算法模拟一个声发射信号，并对其进行去噪，计算信噪比(ICA algorithm simulation using an acoustic emission signals, and its de-noising, signal to noise ratio is calculated)

用MATLAB实现，基本的图形变换、图像的各种滤波、平滑、锐化、图像的直方图变换(Basic graphics transformation, the image of a variety of filtering, smoothing, sharpening, image histogram)

告诉一些matlab的功能，相当详细实用性强(Tell some matlab functions, in considerable detail)

说明：  matlab,线阵，面阵和圆阵的方向图程序(matlab, linear array, planar array and Circular Array Pattern procedures)

求信噪比的MATLAB源代码，用于通信系统学习(the matlab code for work out the SNR，for communication study)

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)