gas-turbine-modeling

This code shows the effect of deltas on an OFDM system

说明：  PWS_DSPC 汉化的数字信号处理工具箱1.0版中的Matlab 函数(PWS_DSPC sinicized Digital Signal Processing Toolbox version 1.0 of Matlab function)

说明：  蒙特卡罗模拟随机数是最好的方式，本程序设计在552nm脉冲后，再一左一右的657nm冷却脉冲，测试激发达到100 的概率，尤其考查蓝、绿及近红外波段(MATLAB 6.5 Monte Carlo simulation cool3.m This simulation cycles "num" number of atoms "steps" times, with a cooling sequence of a 657 nm cooling pulse from the right, then a 657 nm cooling pulse from the left, followed by a 552 nm quenching pulse. Then the sequence is repeated with cooling pluses first incident from the left. Switching the pulse direction order helps maintain symmetery in the resultant velocity distribution. The probability of quenching the excited state is no longer 100 , it is "percent" Random blue, IR, and green photon recoil kicks have been included in the simulation due to the quenching. )

经修改的SSIM代码，在MATLAB环境下运行。不能使用JPG格式的图片。(SSIM revised code, run in the MATLAB environment. You can not use JPG format images.)

通过matlab代码，多抽样率信号处理，欢迎大家下载学习，线性调频脉冲压缩的Matlab程序,包括最小二乘法、SVM、神经网络、1_k近邻法,供做算法研究人员参考。(By matlab code, Multirate signal processing, Welcome to download the study, LFM pulse compression of the Matlab program, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Algorithm for researchers to do reference.)

OFDM系统，有（2，1，7）卷积码编码，分组交织，viterbi译码(OFDM system, there are (2,1,7) convolutional code encoding, packet intertwined, viterbi decoding)

K-mean均值算法是给定类的个数K，将N个对象分到K个类中去， 使得类内对象之间的相似性最大，而类 之间的相似性最小。 Kmean处理图像的matlab文件 (K-mean algorithm is given class means the number of K, K to N objects assigned to a class, making class similarity between objects within the maximum, while the similarity between class minimum. Image processing matlab file Kmean)

matlab simulink .mdl files that models inverter switchings

basic segmentation

一种改进的自适应滤波算法,它通过选择自适应滤波器的系数更新时间间隔,在系统的收敛速度与计算量之间取得折衷 算法在每次系数更新时,利用了系统过去时刻数据(An improved adaptive filtering algorithm, it by selecting the adaptive filter coefficient update interval, the convergence rate and the trade-off between computation algorithm to update each coefficient, the use of the system data over the past time)