PSO-RBF

基于干扰观测器的pid控制，非线性pid鲁棒控制，线性pid控制器设计(Disturbance observer based PID control, nonlinear PID robust control, linear PID controller design)

发动机万有特性曲线的画法以及代码MATLAB(Engine universal characteristic curve drawing method and MATLAB code)

求带赋得概率(等概率及非等概率)的随机变量的均值与标准差。(mean standard deviation)

迭代自组织数据分析，有较好的参考价值，采用了小波去噪的思想。( Iterative self-organizing data analysis, There are good reference value, Using wavelet denoising thought.)

说明：  这是关于粒子群优化算法优化回声状态网络的材料，特别适合初学者，可以帮助你们快速学习群体智能算法优化神经网络(This material is about particle swarm optimization algorithm optimization esN, especially suitable for beginners, can help you quickly learn swarm intelligence algorithm optimization neural network)

神经网络图像处理程序，可以实现入门级功能(Neural network image processing procedures, entry-level functions can be achieved)

本代码包括经典的MMSE方法和LCMV方法的推导，并包括两种方法的仿真,很有用！(The code includes the derivation of the classical methods and LCMV MMSE method, and includes simulation of the two methods, very useful!)

第9章共振峰的估算方法259 9.1预加重和端点检测259 9.1.1预加重259 9.1.2端点检测260 9.2倒谱法对共振峰的估算260 9.2.1倒谱法共振峰估算的原理260 9.2.2倒谱法共振峰估算的MATLAB程序261 9.3LPC法对共振峰的估算262 9.3.1LPC法共振峰估算的原理262 9.3.2LPC内插法共振峰的估算263 9.3.3LPC求根法共振峰的估算266 9.4连续语音LPC法共振峰的检测268 9.4.1简单LPC共振峰检测268 9.4.2改进的LPC共振峰检测270 9.5基于HilbertHuang变换(HHT)的共振峰检测274 9.5.1希尔伯特变换275 9.5.2语音信号的另一种模型——AMFM模型278 9.5.3对AMFM模型的分析279 9.5.4语音信号共振峰特征参数提取的HHT方法279 9.5.5基于HilbertHuang变换的共振峰检测步骤和MATLAB程序280(Estimation Chapter 9 259 9.1 formant pre-emphasis and pre-emphasis endpoint detection 259 259 9.1.1 9.1.2 9.2 endpoint detection principle cepstrum estimate 260 to 260 9.2.1 formant formant estimation cepstrum 260 9.2.2 cepstrum estimate estimate estimate formant MATLAB program 261 9.3LPC method formant 262 9.3.1LPC law principle of formant estimation interpolation within 262 9.3.2LPC formants 263 9.3.3LPC Root Law resonance estimate peak 266 9.4 Continuous Speech LPC formant detection method is simple LPC formant 268 9.4.1 268 9.4.2 Improved detection LPC 270 9.5 formant detection based HilbertHuang transform (HHT) 274 9.5.1 formant detection Hill Another model 275 9.5.2 Hilbert transform voice signals- AMFM model 278 9.5.3 Analysis of the AMFM model HHT Method 279 9.5.4 formant speech signal feature extraction based HilbertHuang transform 279 9.5.5 Resonance peak detection step and MATLAB program 280)

说明：  研究能量受限的SWIPT无线通信网络中，基站采用MIMO多天线发送信号给用户节点，在有窃听节点的情况下，通过联合优化发射波束形成矢量、人工噪声协方差和接收PS比来最小化总发射功率，同时保证每个接收机的个体保密率和能量收集约束。(In the energy limited swipt wireless communication network, the base station uses MIMO multi antenna to send signals to user nodes. In the case of eavesdropping nodes, the total transmit power is minimized by jointly optimizing transmit beamforming vector, artificial noise covariance and receive PS ratio, while ensuring the individual confidentiality rate and energy collection constraint of each receiver.)

matlab实现图像的颜色处理 设置 颜色变换等功能(image color setting)