conv

无线传感器网络四种分簇算法的关于能量消耗，能量消耗均衡度，节点死亡的仿真比较，leach，leach-c，deec，deec-c(Wireless sensor network clustering algorithm on the four energy consumption, energy consumption equilibrium degree, comparing the simulation node death, leach, leach-c, deec, deec-c)

matlab图像处理基础2013修改版 中国科学技术大学MATLAB课程课件(matlab image processing based on a modified version of 2013)

说明：  SVPWM源代码，内含simulink组合功能(SVPWM source code)

autossca ssca法求循环谱ssca法求循环谱(autossca ssca Method Method cyclic spectrum ssca cyclic spectrum)

一阶AR模型使用LMS算法，使用M=2，M=3两种滤波器，步长已选择(A first-order AR model uses the LMS algorithm, M = 2, m = 3 two filters, the step size has been selected)

悬置功能计算的，能量解耦的方法，优化及其位移的计算(The calculation of suspended function, energy decoupling method, optimization and calculation of displacement)

用自定义函数和状态方程函数编写的齿轮系统SIMULINK仿真。(Self-defined functions and equations of state functions written in gear system with SIMULINK.)

Prob log domain simple Decoding procedure in matlab m-file

calculation of power system loss

产生一个随机信号和两个不同频率但频率间隔很小的正弦信号，要求对两信号之和进行如下分析： （1） 求该随机信号的自相关性系数、自相关函数，画出对应的图形； （2） 利用不同的参数建模方法求出两个随机信号的功率谱； （3） 利用极大似然估计、递推最小二乘法等常用的参数估计方法估计所建模型，包括AR模型、MA模型和ARMA模型的的参数，阶次自定；并与Matlab工具箱里的一些建模函数的运算结果进行比较； （4） 利用陷波滤波和MUSIC滤波方法对该信号的频谱进行估计； （5） 利用Wiener滤波、LMS滤波对该含噪声的正弦信号进行去噪声处理； （6） 假设该信号是一个飞行器的某个方向的线位移信号，可否利用Kalman滤波对该信号进行滤波？ （7） 利用高阶谱理论对该信号进行谱估计和相应的AR模型、MA模型和ARMA模型估计； （8） 利用小波变换（变换函数可以直接用Matlab里的函数）对该信号进行去噪声处理，并和前面的去噪声方法进行比较。 (Produce a random signal and two different frequency but frequency interval small sine signals, required to make the following analysis of two signals: (1) for the random signal from the correlation coefficients, the autocorrelation function and draw the corresponding graphics (2) make use of different parameters modeling method for out two random signal power spectrum (3) using maximum likelihood estimation, recursive least square method and common parameters estimation method estimates that the model, including AR model, MA model and the parameters of the ARMA model we, order time decided oneself With Matlab toolbox and some of the modeling function is used compared the (4) use trapped wave filter and MUSIC of the signal filter method of spectrum to estimate (5) use Wiener filtering, LMS filtering on the sinusoidal signal with noise to noise treatment (6) assumes the signal is a vehicle of a certain direction of displacement signal line, can you use Kalman filtering on the)