Adaptive

说明：  倒立摆系统PID控制研究，里边有PID与模糊PID控制角度的对比。(PID Control of Inverted Pendulum, inside a PID control and fuzzy PID angle contrast.)

地震信号处理，虚同相轴方法预测层间多次波，将数据分成上下两部分，利用相关和褶积的原理预测出层间多次波。预测信号和原始信号在相位和振幅上存在差异，用L1范数匹配法进行匹配，其中，提供了两种方法解病态方程，分别为高斯-赛德尔方法和正则化方法。(Seismic signal processing, predicte internal multiples by construct virtual events .The data is divided into two parts, using the principle of correlation and convolution to predicte multiples. There are differences between the prediction signal and the original signal on the phase and amplitude, so we use the L1 norm method to match the singal.We provide two methods for solving ill equation, respectively Gauss- Seidel method and regularization method.)

svpwm模型，主要是对永磁电动机进行空间矢量的控制(svpwm model)

Clipping PAPR reduction for OFDM

将普通码元编译成hdb3码的程序，使用matlab环境编译，希望对大家有所帮助。(the program which changes the origin mode to hdb3)

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. )

潮流计算，节点导纳矩阵，节点阻抗矩阵的生成(Generate flow calculation, the node admittance matrix, the node impedance matrix)

efficient and simple

说明：  一些关于PCNN进行图像分割的Matlab程序,非常的好用.(PCNN for image segmentation about the Matlab program, very easy to use.)

Milne & Adams 方法的求解与比较 右端函数可自行更改(Milne & Adams method)