bat_algorithm

signcryption scheme based on ecc

compare Knn Modified IFS

产生以群结构运动的多个目标的模拟运动轨迹 参数可调(group tracking data)

Efficient subpixel image registration algorithms

对自适应滑膜控制算法进行了介绍，围绕自适应滑膜控制算法的控制器设计问题进行了讨论，并进行了仿真验证。(adaptive sliding mode control)

3-phase fully-controlled bridge rectifier circuit is described in this model that is simulated in matlab/simulink

deconvolution deconvolve.m Given a system impulse response h[n] and test response y[n], this algorithm deconvolves the test response with the impulse response to determine the input x[n] as X(jw) = Y(jw)/H(jw). Eliminate some noise, but is still very rough NOTE: Assumes all signals are the same length. Use sigcorrect.m to equalize their lengths if they are different. use: deconvolve(impresp,test,testresp) variables: impresp: impulse response of system test: test input to system testresp: test response of system

STUDY & SIMULATION Of 1 phase – 1 phase Cycloconverter MATLAB .mdl file about the simulink model of single phase to single phase cycloconverter with R- Load.

用Maple和MATLAB解决科学计算问题（第三版）2.pdf(with Maple and MATLAB to solve problems in scientific computing (third edition) http://www.ilo.org/public/english/standards/relm/gb/docs/gb279/pdf/gb-2.pdf)

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