HRM

Overview on OFDM, describes the OFDM system and parameters and basic concepts on OFDM techniques.

电力系统3机系统的暂态稳定仿真程序，子程序为故障前故障中和故障后三个状态(System for power system transient stability simulation program, subroutine, three failures before the failure and fault status)

《MATLAB神经网络30个案例分析》中的第22个例子，案例22 LVQ神经网络的预测——人脸朝向识别。希望对大家有一定的帮助！ (The MATLAB neural network analysis of 30 cases of 22 example, 22 cases of LVQ neural network prediction, face toward the identification. Hope to have certain help to everybody!)

homography of color image in matlab.

Matlab code for Alamouti with different taps

matlab convolution sample

matlab图像处理实例详解chap10——图像压缩编码(matlab image processing examples explain chap10- Image Coding)

用MATLAB函数fir1设计一个具有如下指标的线性相位FIR带通滤波器：阻带截止频率为0.55pi 和0.85pi，通带截止频率为0.65pi和 0.75pi，最大通带衰减为0.2dB，最小阻带衰减为42dB。分别利用下面的窗函数来设计滤波器：汉宁窗、汉明窗、布莱克曼窗。对于每种情况，给出其冲激响应系数并画出设计的滤波器的幅频响应。(Designed with a MATLAB function with the following indicators fir1 linear phase FIR band-pass filter: stopband cutoff frequency for the 0.55pi and 0.85pi, passband cutoff frequency of 0.65pi and 0.75pi, maximum passband attenuation is 0.2dB, minimum stopband attenuation of 42dB. Window functions were used to design the following filter: Hanning, Hamming window, Blackman window. For each case, given its impulse response filter coefficients and draw the design magnitude response.)

连续潮流：又称为延拓潮流，是电力系统电压稳定性分析的有力工具，它通过在常规潮流基础上引入一个负荷增长系数来克服雅可比矩阵奇异，从而克服接近稳定极限运行状态时的收敛问题，解决了常规潮流在崩溃点外无解和在崩溃点附近不能可靠收敛的问题。(Continuous flow: also known as extension tide, is a powerful tool for system voltage stability analysis of power, it is by introducing a load factor in the growth trend basis to overcome the conventional Jacobian matrix is ​ ​ singular, thus overcoming the convergence close to steady state operation of the limit problem, to solve the conventional trend points outside the crash and no solution can not be reliably near the breaking point of convergence problems.)

概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the feedforward networks. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, the fault tolerance is good, and so on. In essence, it belongs to a supervised network classifier based on Bayesian minimum risk criteria.)