conv

ANother file containing some exercices about digital image processing

用于完成小波变换的函数，这个函数与matlab自带的函数不同之处在于它可以返回矩阵，而不是一个行向量(wavelet transform for the completion of the function, Matlab functions and the built-in function of the difference between lies in the fact that it can return to the matrix and vector is not a trip)

power_transfohyst.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_transfohyst.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

This is the third matlab code of chuck

simulink block used to compare between two types of canal coding, three modulation thechnic and two canal (AWGN and rayleigh)

说明：  两种不同的假设： H1 ： 0 xn A fn wn ( ) cos(2 ) ( ) = ++ π θ n=1,2,…,N，f0 为规一化频率 H0 ： xn wn () () = n=1,2,…,N 其中 w[n]是均值为 0，方差为 2 σ n 的高斯白噪声，A 已知，样本间相互 独立，信号与噪声相互独立; 相位θ 是随机变量，它服从均匀分布 1 0 2 ( ) 20 p θ π θ π ?? ≤ ≤ = ??? 其它 1）改变输入信噪比（改变 A 或噪声方差均可），给定虚警概率，画出 输入信噪比与检测概率之间的理论曲线。(注意：理论检测曲线与样本 数有关) 2）改变样本数，用 Monte-Carlo 实验方法得出 PF＝0.001 时输入信噪比 与检测概率之间关系曲线（至少三条），并得出结论。 3）改变 M-C 实验次数，样本数不变，用 Monte-Carlo 实验方法得出 PF ＝0.001 时输入信噪比与检测概率之间关系曲线（至少三条），并得出 结论(Draw the theoretical curve between input SNR and detection probability)

本文件内容是十大经典算法之一——贪婪算法，还有详细的内容讲解，便于理解，下载的时候可能会占用一点时间。(Contents of this document is one of the top ten classical algorithm- greedy algorithm, there is a detailed explanation of the content, ease of understanding, the download time may take a little time.)

Good paper for a research about the field of medical.

说明：  通信系统的仿真,卷积码是纠错码的一种,可以用于数字电视,手机等通信领域,本例子给出了基于matlab的程序,可用于实际的仿真!(communications system simulation, convolutional codes is an error-correcting code that can be used in digital TVs, mobile phones and other communications, this example is based on the Matlab program can be used for actual simulation!)

收集的matlab符号运算的电子书籍与文档资料，对于熟悉了matlab数值运算想对符号计算有所了解的可以看看。(Matlab symbolic operation collected the e-books and documentation, for those familiar with the matlab numerical computation would like to understand the symbolic computation can take a look at.)