PSO-PF 代码

matlab中各种滤波器的设计，以及在matlab中需要的函数(matlab in a variety of filter design, as well as the need to function matlab)

该程序将高斯核函数做成matlab中的函数形式。当需要使用时加载即可使用，简单方便。(The program will be made in matlab Gaussian kernel function form. When you need to use to load to use, simple and convenient.)

传真通信与调制解调器是学习传真通信及调制解调的一本好书(fax communications and fax modem is studying communications and modulation and demodulation of a good book)

web cam code in MATLAB for proper operation

一、 牛顿－拉夫逊法概要 首先对一般的牛顿－拉夫逊法作一简单说明。已知一个变量X的函数 （4－6） 解此方程式时，由适当的近似值X（0）出发，根据 （4－7） 反复进行计算，当X（n）满足适当的收敛判定条件时就是（4－6）式的根。这样的方法就是所谓的牛顿－拉夫逊法。 式（4－7）就是取第n次近似解X（n）在曲线 上的点 处的切线与X轴的交点作下一次X（n+1）值的方法。参考图4－2（a）。在这一方法中为了能收敛于真解，初值X（0）的选取及函数f（X）必须满足适当的条件，如图4－2（b）所示的那种情况就不能收敛或收敛到别的根上去。 这一方法还可以做下面的解释，设第n次迭代得到的解与真值之差，即 的误差为 时，则 （4-8） 把 在 附近对 用泰勒级数展开 （4-9） 上式略去 以下的项 （4-10） 的误差可近似由上式计算出来 图4-2 （4-11） 比较式（4-7）和（4-11），可以看出牛顿-拉夫逊法的修正量和 的误差的一次项相等。 用同样的方法考虑，给出对n个变量 (:Because of the importance and complexity of power system, better algorithm and programme language is very important . An interior point method based on the perturbed Karush2Kuhn2Tucker (KKT) condition is pre2 sented in this paper , where the method and process for the optimal power flow is treated through the Matlab’s symbolic math toolbox and Mfunction is also presented. Using the symbolic code , it can improve the adaptability of the programme dramatically. The advantage is that , what we need to do is change the model expression. We can make use of the symbolic programme to check our programme while we write the Mfunctions. Using the Mat2 lab , we find the optimal solutions and calculate quickly and efficiently. It has proposed the powerful and unique functions of Matlab in the optimization and calculation for power system. Key words :power system symbolic calculation optimal power flow interior point method)

基于matlab的低通有源滤波器设计wp=30hz，ws=40hz，rp=0.5，rs=40，fs=100hz. (Matlab-based low-pass active filter design wp = 30hz, ws = 40hz, rp = 0.5, rs = 40, fs = 100hz.)

用matlab对M=8的PSK系统进行蒙特卡罗仿真，分析其误码率(Using matlab for M = 8 the PSK system Monte Carlo simulation, to analyze the bit error rate)

利用四阶统计量求三个信号混合后的独立成分，包括超高斯、高斯和亚高斯信号(Demand the use of three fourth-order statistics of independent mixed signal components, including the super-Gaussian, Gaussian and sub-Gaussian signal)

(eccv10)Features Image Matching[matlab]源代码((eccv10)Features Image Matching[matlab])

Input data set for data classication MATLAB NN