chazhi

encryption decryption..matlab source code

matlab2012a 的安装过程及破解步骤(Installation process and cracked steps of matlab2012a)

reviews radar waveforms,including CW, pulsed, and LFM. High Range Resolution (HRR) waveforms and stepped frequency waveforms are also analyzed.(reviews radar waveforms, including CW. CDFI. and LFM. High Range Resolution (HRR) waveforms and stepped frequency waveforms are also analy propellant.)

Detection and correction of control flow errors in processors with difference of time between jumping in one block to other block .

说明：  用无迹卡尔曼滤波算法对电机转速进行控制，相较传统PI控制超调量小(Compared with the traditional PI control, the unscented Kalman filter algorithm is used to control the motor speed)

Input: x: input image ru, rd: amount of extension, up and down, for rows cl, cr: amount of extension, left and rigth, for column extmod: extension mode. The valid modes are:主要用于图象处理和模式识别( Input: x: input image ru, rd: amount of extension, up and down, for rows cl, cr: amount of extension, left and rigth, for column extmod: extension mode. The valid modes are:)

matlab的教程，PPT教程，共分为六节(matlab tutorial, PPT tutorial is divided into six)

自适应滤波器是一种参数可自适应调整的有限冲激响应(FIR)数字滤波器，具有非递归结构形式。介绍了自适应滤波器的基本原理，用LMS自适应算法来仿真，得到LMS算法在自适应滤波中的收敛特性。(Adaptive filter is an adaptive adjustment of parameters can be finite impulse response (FIR) digital filter, with a non-recursive structure. Describes the basic principles of adaptive filter with LMS adaptive algorithm simulation, LMS algorithm in adaptive filtering convergence characteristics.)

function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.

《MATLAB7x界面设计与编译技巧》这本书是matlab界面编程的宝典，内有非常丰富的例程，内容浅显易懂，非常适合初学者到高手各个阶段人士使用(The MATLAB7x interface design and build skills "this book is the bible of matlab programming interface, there are very rich routines, simple content, very suitable for beginners to master each stage who use)