MATLAB_Simulink_for_DSP_Won_Y_Yang_

仿真Chua电路的双卷波混沌吸引子。 要求：1、每个状态（x,y,z）分别随时间变化的曲线。 2、x-y，y-z，x-z的相图。 3、x-y-z的图形。(Circuit simulation Chua' s double scroll waves chaotic attractor. Requirements: 1, each state (x, y, z), respectively, a graph of changes over time. 2, xy, yz, xz phase diagram. 3 XYZ graphical.)

共轭MUSIC与平滑MUSIC，来实现波达方向估计(The conjugated MUSIC smoothing MUSIC DOA estimation)

code dijkstra in matlab

this file is about risk managment in marketing....

时频域信号分析工具箱，刚从网上下的！挺不错的(Time-frequency domain signal analysis toolbox, just under the line! Very good)

基于matlab的ofdm仿真，内含有word文档及代码。(Based on the OFDM matlab simulation, contains documents and code word.)

快速定点独立分量分析在盲源分离中的应用 FASTICA(FASTICA PCA BSS)

先研究基于RSSI的无线传感器网络定位算法，首先利用Matlab首先实现基于RSSI的三边定位算法，实现粗糙定位。(First study of wireless sensor network localization algorithm based on RSSI, first using Matlab first trilateral RSSI-based location algorithm to achieve rough positioning.)

MPC code space state model whithout constraints

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)