SpeedControl

卷积码和viterbi译码源程序，用MATLAB实现，本人亲自试验过绝对没有错误，希望对大家有用(Convolutional codes and viterbi decoding source code, using MATLAB to achieve, I personally tested absolutely no mistakes, want to be useful to everyone)

this program treat image processing and segmentation methods and can help for functions which concern segmentation, cv-master

Non-Causal IIR Filter Part 1: Setting up the Input signal to the Wiener Filter Part 2: Seperating the negative lags and positive lags... The one at 0 index is clustered together in the positive part highqq

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

交错并联PFC boost，使用plecs仿真，仿真完美，电压电流环使用typeII补偿，CCM平均电流模式，额定功率500W，可根据需要改变参数(Interleaved PFC boost, use plecs simulation perfectly, voltage and current loop using typeII compensation, CCM average current mode, rated power 500W, parameters can be changed as needed)

研究生时的现代信号处理的作业，数据模型归一化，模态振动，鲁棒性好，性能优越，数学方法是部分子空间法，使用大量的有限元法求解偏微分方程，搭建OFDM通信系统的框架。(Modern signal processing jobs when the graduate, Normalized data model, modal vibration, Robustness, superior performance, Mathematics is part of the subspace, Using a large number of finite element method to solve partial differential equations, Build a framework OFDM communication system.)

matrice fondamentale

传统的kmeans聚类算法不能保证时间序列聚类结果的时序性；基于warp-kmeans聚类算法可以有效处理时间序列的聚类问题，而且复杂度低，迭代次数少。 ，输出有目标函数在每次迭代后的值，聚类中心以及聚类区间。内有测试数据和相关文献，点击 test.m 可以完美运行(The traditional kmeans clustering algorithm can not guarantee the time series of the time series clustering results. The warp-kmeans clustering algorithm can effectively deal with the clustering problem of time series, and the complexity is low, and the number of iterations is less. The output has the value of the target function after each iteration, the clustering center and the clustering interval. There are test data and related documents, click test.m can be perfect operation.)

genetic algorithm program for power system

地震反应谱计算方法，可以对于地震进行预测监控，方便及时进行相关措施减少人员伤亡和财产损失。(The calculation method of seismic response spectrum, earthquake prediction can be convenient for monitoring, timely measures to reduce casualties and property losses.)