speechsignalsusingMATLAB

Spectral Projected L1 solver

identication non-parametrique de systemes dynamiques lineaires

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qpsk_berest

源代码为matlab函数，功能是根据副瓣抑制要求产生taylor权系数(failed to translate)

结合工程实例，介绍了利用大地测量法实现施工期边坡稳定性实时准动态监测的方法和仪器的使用情况。(Combined with engineering examples, this paper deals with the method of using land measurement during the realization of dynamic real-time accurate slope stability monitoring methods, and use of equipment.)

用matlab实现的RTKfilter实现滤波处理(Achieved with matlab filtering implemented RTKfilter)

该函数用来计算时间序列的最大Lyapunov 指数 Wolf 方法 m: 嵌入维数 tau:时间延迟 data:时间序列 N:时间序列长度 P:时间序列的平均周期,选择演化相点距当前点的位置差，即若当前相点为I，则演化相点只能在|I－J|>P的相点中搜寻 lambda_1:返回最大lyapunov指数值 (This function is used to calculate the time series of the largest Lyapunov exponent Wolf method m: embedding dimension tau: time delay data: time series N: Time sequence length P: the average period of time series, the evolution of the current location of the point relative pitch poor, that is, if the current phase point is I, the evolution of the phase point only | I-J |> phase point P in search lambda_1: returns the maximum index value lyapunov)

多机电力系统仿真及其潮流计算，包括邓氏关联度、绝对关联度、斜率关联度、改进绝对关联度,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。( Multi-machine power system simulation and flow calculation, Including Deng s correlation, absolute correlation, correlation of slope, improved absolute correlation, PV modules contain, MPPT module, BOOST module, inverter module.)

Algo3-5.c C program for implementing Algorithm 3.5 Algorithm translated to C by: Dr. Norman Fahrer IBM and Macintosh verification by: Daniel Mathews NUMERICAL METHODS: C Programs, (c) John H. Mathews 1995 To accompany the text: NUMERICAL METHODS for Mathematics, Science and Engineering, 2nd Ed, 1992 Prentice Hall, Englewood Cliffs, New Jersey, 07632, U.S.A. Prentice Hall, Inc. USA, Canada, Mexico ISBN 0-13-624990-6 Prentice Hall, International Editions: ISBN 0-13-625047-5 This free software is compliments of the author. E-mail address: in "mathews@fullerton.edu" Algorithm 3.5 (Gauss-Seidel Iteration). Section 3.7, Iterative Methods for Linear Systems, Page 187