Adaptive-Notch-Filter-

Matlab Filter Implementation In this section, we will implement (in matlab) the simplest lowpass filter $displaystyle y(n) = x(n) + x(n-1), n=1,2,ldots,N $ (from Eq.$ ,$(1.1)). For the simplest lowpass filter, we had two program listings: Fig.1.3 listed simplp for filtering one block of data, and Fig.1.4 listed a main program for testing simplp. In matlab, there is a built-in function called filter3.3 which will implement simplp as a special case. The syntax is y = filter (B, A, x) where x is the input signal (a vector of any length), y is the output signal (returned equal in length to x), A is a vector of filter feedback coefficients, and B is a vector of filter feedforward coefficients. The filter function performs the following iteration over the elements of x to implement any causal, finite-order, linear, time-invariant digital filter:3.4

Contacts Settings Test extends Instrumentation Test Case.

快速卷积算法的matlab实现，以及对应的文章。((Fast) Approximation of the convolution integral between two sampled functions.)

本程序的功能是：实现信号从时域到频域的快速傅里叶变换。(Realize the signal conversion from time domain to frequency domain.)

noise cancellation programs by lms and nlms

三相逆变器并联控制程序 两台三相逆变器主从控制(Parallel three-phase inverter control program of two three-phase inverter master-slave control)

对四旋翼飞行器进行了动力学分析，并在动力学建模的基础上设计了PID控制器，通过simulink仿真。(Four-rotor aircraft for the kinetic analysis and modeling on the basis of kinetic design PID controller, through the simulink simulation.)

多目标粒子群算法，求解多目标问题的经典的算法之一(multi-object PSO, one of the classical algorithms for solving multi-objective problems)

计盒分形维数计算的matlab源代码编程实现过程(Function [Fdgen NoisfreFD ]=fractaldim(y,Q,M) __________________________________________________________________________ Usage: Computes fractal dimension by box counting(BC) method. NOTE: Running the code may take a little time, because it calculates dimensions for all embedding dimensions up to M. This code is based on an algorithm that constructs a box for the first observation and for other observations test which it belongs to previous box(s). If the observation belongs to one of the existent boxes then increases number of points in the relevant box,otherwise makes a new box. the algorithm of this code uses only rounding down and it does not need binary coding, sorting and so on. It uses only transformation data to [0,2^32-1] and finding valid boxes based on Leibovich and Toth(1989). Inputs: y is a vector time series. q stands for generalized dimension q=1 entropy dimension,q=2 correlation dimension and so on. q=0 is box counting dimen)

DWT transformation is used to describe the image compression