crpt

papr ofdm slm .it contain report and smatlab simulations.all are working ofdm slm method.slm method

matlab中所有函数解析_太全了 真的很全(all matlab function parses the _ is too full of really)

Digital signal processing, this script implements the Pan Tompkins method for QRS detection

利用Rossler吸引子，求五阶全互连细胞神经网络系统的李雅普诺夫指数，判断该系统是超混沌系统(Lyapunov exponents pedigree chart)

　提高电源的动态响应　　非线性和复杂的系统是一个转换器　　电力电子的有趣的挑战。摘要介绍了　　设计和实现数字PID控制器使用　　混沌粒子群优化(复)提振　　转换器,提出了自动调优转换器的方法　　最优启动响应。当系统启动时,处理器　　单元分析了开环启动响应转炉和　　在一些迭代使用复准备最佳反应　　算法。使用逻辑映射混沌映射序列　　增加它的收敛速度和精度。模拟　　和实现结果显示提出的效率　　方法(Improving dynamic response of DC-DC converters which are nonlinear and complicate systems is an interesting challenge in power electronics. This paper presents the design and implementation of digital PID controller using the chaotic particle swarm optimization (CPSO) for a Boost converter and proposes an approach for auto tuning converter optimum startup response. When the system starts, processor unit analyses the open loop startup response of converter and prepares optimum response during some iteration using CPSO algorithm. Chaotic mapping using logistic map sequences increases its convergence rate and resulting precision. Simulation and Implementation results show efficiency of proposed approach)

说明：  kurtogram是一种四阶谱分析工具，用于检测和表征信号中的非平稳性。可用于轴承的故障诊断(The kurtogram is a fourth-order spectral analysis tool elaborated for detecting and characterising nonstationarities in a signal. It relies on the assertion that each type of transient is associated with an optimal (frequency/frequency resolution) dyad (f ; Df) which maximises the kurtosis. The Fast Kurtogram computes the kurtogram over a grid that finely samples the (f ; Df) plane. Its complexity is on the order of N log N. This is the "plain vanilla" code used in paper: J. Antoni, Fast Computation of the Kurtogram for the Detection of Transient Faults, Mechanical Systems and Signal Processing, Volume 21, Issue 1, January 2007, Pages 108-124.)

for image registration and vision, GPS

利用Matlab编程进行马尔可夫预测计算,非常方便的，只需要进行相应的矩阵乘法(Markov prediction using Matlab programming to calculate, very convenient, just make the appropriate matrix multiplication)

pARTIAL TRANSMIT SEQUENCE is very effective technique for papr reduction in OFDM.It divide OFDM sequence into several disjoint sub sequences and convert to time domain then Combine with complex phase factors to reduce PAPR.In this code matlab simulation of this technique is implemented

用于时间序列的预测，包含序列特征描述、平稳性检验、序列周期判断、季节因子提取、指数平滑预测、及ARIMA预测(Sequence features for time series prediction, including the description of the stationary test, to determine the sequence cycle, seasonal factor extraction, exponential smoothing, and ARIMA forecasting)