CCC_PID4_LOAD0

thermal conductivity :Code for Temperature dependent of cross plane (thermal conductivity :Code for Temperature dependent of cross plane )

无约束条件的粒子群优化算法代码，简单实用！(No constraints PSO algorithm code, simple and practical!)

matlab中用牛顿迭代法求解非线性方程组的的的最优解程序(MATLAB in Newton iterative method for solving nonlinear equations of the optimal solution)

说明：  matlab taylor加权算法实现 啊啊啊啊啊啊啊啊啊啊啊(Matlab Taylor weighting algorithm realization)

Brief Training Document of Matlab

基于matlab的波束赋形优化算法，需要搭配cvx工具包使用，代码运行时间较长(The beam forming optimization algorithm based on MATLAB needs to match the CVX toolkit, and the code runs longer.)

模糊层次分析法，应用于数学建模中的各种评价问题和综合评价类问题(Fuzzy AHP, used mathematical modeling in a variety of evaluation and comprehensive evaluation class of problems)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

基于Matlab编写的语音端点检测程序，比较基础，希望可以帮到需要的人(prepared based on Matlab voice endpoint detection procedures, a comparable basis, the desire to help people in need)

用matlab编写的渐消记忆递推最小二乘估计算法(recursive least square filtering with fading factor)