powerflow

DPSK调制与解调，以及误码率分析。图形形象，易懂，是个很不错的源代码(DPSK modulation and demodulation, and bit error rate analysis. Graphic image, easy to understand, is a very good source code)

说明：  Canny Edge Detector Algorithm and Matlab Codes

书后习题：信道均衡的简单仿真。适合入门的同学使用。(Book exercises: a simple simulation of channel equalization. Students for entry-use.)

说明：  根据TCH/FS信道的技术标准，用MATLAB语言编写程序模块，实现编译码模块功能，仿真TCH/FS信道各模块，检验与测试它们的性能，对TCH/FS信道的纠错性能进行仿真及分析。(under TCH/FS access to the technical standards, using MATLAB language program modules to achieve encryption module function, simulation TCH/FS Channel modules, test and test their performance, the TCH/FS channel error correction performance simulation and analysis.)

火电厂主汽温系统扰动消除设计方法,很有用的文献(Main Steam Temperature System Disturbance canceling design, useful literature)

本书籍讲诉的是objective-C编程中的ARC规范，是高手的必看书籍。(This book stresses that the ARC specification of objective-C programming, is the master of the books.)

功能描述：测试LMS与RLS算法，比较两种算法的收敛特性 文件名：LMS_RLS_sim.m 测试用例： x(n)+a1*x(n-1)+a2*x(n-2)=e(n)，a1=-1.6,a2=0.81,e(n)为高斯白噪声 文件输出：系数a1的值 调用函数：function [A] = LMS_Algo(M,N,mu,xn) 被调用：无 作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 ( Function Description: Test LMS and RLS algorithm, the convergence characteristics were compared file name: LMS_RLS_sim.m test case: x (n)+ a1* x (n-1)+ a2* x (n-2) = e (n), a1 =- 1.6, a2 = 0.81, e (n) is Gaussian white noise file output: the value of coefficient a1 call the function: function [A] = LMS_Algo (M, N, mu, xn) is called: No of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )

计算谐波信号的离散分数阶傅立叶变换，并求出使信号频谱聚集的最优阶数！(Calculated harmonic signal Discrete Fractional Fourier Transform, and the signal spectrum obtained optimal order together!)

线性调频（LFM）脉冲压缩雷达仿真，有具体的方法和实现步骤，包括仿真结果。(Linear frequency modulation (LFM) pulse compression radar simulation, there are specific methods and implementation steps, including the simulation results.)

matlab的模式识别toolbox，将它解压缩，拷贝到matlab目录下的toolbox下，声明：请不要将这个工具箱应用到商业用途上，仅作学术参考。(pattern recognition tool box. Please unzip, copy it under the directory of matlab toolbox. Announcement: Don t apply it to commercial usage, just for research reference.)