BPrecognition

说明：  P0801：索书号文字图像分割 P0802：粘连字符切分 P0803：文字识别 P0804：彩色车牌分割 P0805：商标文字分割 Recognition：文字识别的识别子函数 StrDetect01：文字识别的结构特征提取子函数 (P0801 : Call text image segmentation P0802 : adhesion character segmentation P0803 : Character Recognition P0804 : color plates separated P0805 : Segmentation Recognition trademark characters : Character Recognition Recognition Functions StrDetect01 : Character Recognition structural feature extraction function.)

说明：  利用巴特沃斯高通滤波、理想高通滤波、高斯高通滤波处理图像，根据需求使图像得到锐化，并比较他们的效果。(Use bart wo high-pass filter high-pass filter, ideal, gaussian high-pass filter processing images, according to demand makes the image get sharpening, and compare their effect. )

该程序是软件无线电中信道化技术的仿真历程，使用了“多相滤波结构”，将32个频率分量进行调制，平均调制在频谱之中，提升了发射信号的频谱利用率。该程序有利于对信道化与多相滤波的理解。(This program is the simulation process of channelization technology in software radio. It uses a "polyphase filter structure" to modulate 32 frequency components. The average modulation is in the spectrum, which improves the spectrum utilization of the transmitted signal. The program is helpful for understanding channelization and polyphase filtering.)

matlab simulation for freq division mux

The DSI method is basically a modified SLM method. The additional aspect of the DSI method is to add M-bits dummy sequences to the original sequence in order to reduce the PAPR. Where, the dummy bits are inserted at the end of the data sequence (y). Next, after IFFT, we select the M-DSI sequence having the lowest PAPR.

nii格式文件的读取，输入指令var_nii=nii_load( **.nii ) (nii read the file format, enter the command var_nii = nii_load ( **.nii ) )

建立matlab与kingview之间的dde连接(Finsh the DDE connection between matlab and kingview)

ICA watermarking. Blind, fragile, robust

matlab上倒谱的两种实现方式。一个是调用rceps（）函数来实现，另一个是根据定义来实现。两种方法画出的倒谱图一样。 附件中包含要处理的数据，该数据为加速度数据。(matlab on the cepstrum of two implementations. One is called rceps () function, and other is by definition to achieve. Draw the two methods as the inverted spectrum. Annex contains data to be processed, the data for the acceleration data.)

Monte Carlo方法的实质是通过大量随机试验，利用概率论解决问题的一种数值方法，基本思想是基于概率和体积间的相似性。它和Simulation有细微区别。单独的Simulation只是模拟一些随机的运动，其结果是不确定的；Monte Carlo在计算的中间过程中出现的数是随机的，但是它要解决的问题的结果却是确定的。(The essence of the Monte Carlo method is a numerical method to solve the problem through a large number of randomized trials, the use of probability theory, the basic idea is based on the similarity between the probability and volume. There are subtle differences between it and Simulation. Separate the Simulation simulation of random movement, the result is uncertain number of the Monte Carlo calculations in the middle of the process is random, but it is to solve the problem the result is determined.)