chap6

matlab6.5图形图像处理一书中所有的源程序，按章节分开与书中对应，共有两百个左右(matlab6.5 a graphic image processing all of the source book, with separate chapters on the book counterparts, a total of about 200)

matlab时间序列分析处理，主要用于信号处理。(MATLAB time sequence analysis processing, mainly for signal processing.)

文件集合了最全的自动控制程序，对系统学习自控的人有很大的帮助。(File set the full automatic control program, the system control of learning has a lot of help.)

MATLAB 牛顿下山法的一个小程序，原理就不详细说了。因牛顿迭代法受初值选取的限制，为防止迭代发散，对迭代过程再附加一项要求:|f(x(k+1))|<|f(x(k))|,将牛顿法迭代的结果:x(k+1) =x(k)-f(x(k))/f (x(k))和前一近似值x(k)适当加权平均做为新的改进值:x(k+1)=u*x(k+1) +(1-u)*x(k),其中u(0<> 迭代时u取1开始，逐次减半计算，直至附加要求符合为止。实例计算中x(k)=x(0)不变，只更新u和x(k+1)，直至:|f(x(k+1))|<|f(x(k))|（即|f(x(1))|<|f(x(0))|)，然后更新下山因子为u=1,继续以牛顿法迭代。(MATLAB Newton-down a small program, the principle is not explained in detail. Newton iteration by the initial value of the selected limit, in order to prevent additional iterative divergence, the iterative process a request: | f (x (k+1)) | < | f (x (k)) | Newton iteration Results: x (k+1) ' = X (k)-f (x (k))/f' (x (k)) and a previous approximation x (k), appropriately weighted average as a new improved value: x (k+1 ) = u* x (k+1) ' + (1-u)* x (k), where u (0 < u> iteration take successive calculated at 50 until the additional requirements found so far. examples of calculation of X ( k) = x (0) unchanged profile u and x (k+1, hungry) until: | f (x (k+1)) | < | f (x (k)) | (i.e. | f (x (1)) | < | f (x (0)) |), then profile downhill factor for u = 1, to continue to Newton iteration.)

离散小波变换 mallat算法实现 小波变换(DWT wavelet transform algorithm mallat)

用Simulink实现PAM调制，并显示星座图和眼图(PAM modulation and demodulation)

利用维格纳方法实现对数字信号进行时频分析处理的功能(Wigner method implementation using digital signal processing functions time-frequency analysis)

This code realize the spcial smooth music algorithm

用matlab结合窗函数法、等波纹设计法实现FIR滤波器(Combined with matlab window function method, such as corrugated FIR filter design method)

滚动轴承故障诊断是机械故障检测中一个重要方面。使用小波包分析和包络分析相结合的方法提取轴承微弱振动信号, 克服了传统包络分析方法易丢失信号有效成分的缺点。包络信号的细化谱较好体现了轴承故障信息。(Bearing Fault Diagnosis of mechanical fault detection in an important aspect. The use of wavelet packet analysis and envelope analysis method of combining extracts bearing vibration signal weak to overcome the traditional envelope analysis method easy to lose the signal disadvantage of the active ingredient. Refinement of the envelope signal spectrum better reflects the bearing fault information.)