Outlier_Global

徐荣桥《结构分析的有限元法与Matlab程序设计》源程序(Xu Rongqiao Structural Analysis of the finite element method and Matlab Programming source code)

说明：  现代信号处理中的LMS算法和RLS算法的MATLAB仿真(Modern Signal Processing LMS algorithm and RLS algorithm MATLAB simulation)

Robust receding horizon predictive control for systems with uncertain dynamics and input saturation

this code is for monitoring the pest control in the tree leaves

说明：  帮助matlab载入.sif文件，从而读取并处理文件内容(Help matlab load. SIF file to read and process file content)

mdct, it contains DOC,MATLAB,source,synthesis.

说明：  协同网络中继选择算法 一种是基于门限的最大信噪比选择；另一种是基于门限的最小误码率选择，我们将选择一条最佳的中继链路和源节点到目的节点的直接传输链路在目的端进行最大比合并(Research on relay selection algorithm in cooperative wireless Networks)

各种使用simulink纯滞后系统仿真实例(Various simulation simulink delay system)

This circuit uses the AC6 block of SimPowerSystems™ library. It models a permanent magnet (PM) synchronous motor drive with a braking chopper for a 3HP motor. The PM synchronous motor is fed by a PWM voltage source inverter, which is built using a Universal Bridge Block. The speed control loop uses a PI regulator to produce the flux and torque references for the vector control block. The vector control block computes the three reference motor line currents corresponding to the flux and torque references and then feeds the motor with these currents using a three-phase current regulator.

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )