Pfunction2

结合单神经元的pid控制原码 可仿真实现 结果有误差曲线 跟踪曲线 参数整定曲线等(Combination of single neurons in the original pid control code can realize the results of simulation have tracking error curve curve curve parameter tuning, etc.)

Image processing question that may come in any image processing seesion. Will help to undrstand what actually nedd to know wheile doing image processing as well as clustering.

优秀论文及配套源码。Hilbert-Huang变换(HHT)是一种新的非平稳信号处理技术，该方法由经验模态 分解(EMD)与Hilbert谱分析两部分组成。任意的非平稳信号首先经过EMD方法处理后被分解为一系列具有不同特征尺度的数据序列，每一个序列称为一个固有模态函数(IMF)，然后对每个IMF分量进行Hilbert谱分析得到相应分量的Hilbert谱，汇总所有Hilbert谱就得到了原信号的谱图。该方法从本质上讲是对非平稳信号进行平稳化处理，将信号中真实存在的不同尺度波动或趋势逐级分解出来，最终用瞬时频率和能量来表征原信号的频率含量。 本文研究了基于HHT的暂态电能质量扰动检测方法，介绍了HHT的基本原理和利用HHT检测电能质量多扰动信号的实现方法。仿真试验表明该方法可以实时检测扰动的起止时刻，持续时间和扰动幅度，适用于电能质量多扰动的监测和辨识系统。 (Hilbert-Huang Transform(HHT) is a new non-stationary signal processing technology，including the Empirical Mode Decomposition(EMD) and Hilbert spectral analysis．In this method，arbitrary non-stationary signals was divided into a series data sequence with different characteristic scales after the first EMD treatment，each sequence is called an intrinsic mode function(IMF)，and then each IMF component gained corresponding the Hilbert spectrum though Hilbert spectrum analysis，a summary of all Hilbert spectrum assembled to the spectra of the original signal．In essence，this method is a stable processing for non-stationary signal，which decomposed the different fluctuations or trends in the signal in rum，and represented the frequency content of the original signal using the final instantaneous frequency and energy． This paper study a method to detect power quality disturbances based on the HHT，in which the principle and the realization of the HHT and the realization of power quality disturbance)

程序对2发2收系统进行ZF算法的仿真。发送信号采用QPSK调制，信道为准静态瑞利平坦衰落信道，引入的噪声为均值为0的高斯白噪声，接收端采用最大似然检测算法，仿真其误比特率特性。(The ZF algorithm simulation program 2 admission system. Send signals using QPSK modulation, channel prevail static Rayleigh flat fading channels, the introduction of noise with mean 0 Gaussian white noise, the receiving end using the maximum likelihood detection algorithm, simulation of the bit error rate characteristics.)

economic dispatch using neural network

matlab解耦合非线性薛定谔方程组，考虑自相位调制、交叉相位调制与四波混频(Matlab solves the coupled nonlinear Schrodinger equations, considering self phase modulation, cross phase modulation and four wave mixing.)

LADT ECG Compression Algorithm 3

concerned with the blind identication of bilinear systems excited by higher-order white noise. Un- like prior work that restricted the bilinear system model to simple forms and required the excitation to be Gaussian dis- tributed, the results of this paper are applicable to a more general class of bilinear systems and for the case when the excitation is non-Gaussian. We describe an estimation pro- cedure for the computation of the system parameters using output cumulants of order less than four.

C++ code for hill climbing

ADVANTAGES OF DETECTION TECHNIQUE