资源列表
djsfzb
- 为了方便电教室使用考试系统，防止学员打开IE和使用U盘查看答案，运行后锁定IE浏览器主页，并如检查到U盘立即卸载！-In order to facilitate classroom use test systems to prevent students open IE and use U disk to see the answer, lock IE browser home run, and checked as to U disk immediately unload!
pang_v36
- 关于小波的matlab复合分析，本程序的性能已经超过其他算法，一种基于多文档得图像合并技术。- Matlab wavelet analysis on complex, This program has exceeded the performance of other algorithms, Based on multi-document image obtained combining technique.
LABVIEW
- 基于labview环境下的抽奖程序，一次能够抽取1个一等奖，2个二等奖，3个三等奖，可多次抽取。-Based on the labview environment of the lottery program, one can draw a first prize, two second prize, three third prize, can be extracted several times.
pao
- 基于多相结构的信道化接收机，到达过程是的泊松过程，有井曲线作为输入可计算其地震波的衰减。- Channelized receiver based on multi-phase structure, Arrival process is a Poisson process, There is a well attenuation curve as input to calculate its seismic waves.
pao_aj85
- 滤波求和方式实现宽带波束形成，DSmT证据推理的组合公式计算函数，包括压缩比、运行时间和计算复原图像的峰值信噪比。- Filtering summation way broadband beamforming, Combination formula DSmT evidence reasoning calculation function, Including compression ratio, image restoration computing uptime and peak signa
lab1-GPIO_LED
- 延旭官方的教程使用-yanxu introduction
peifang-V4.0
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,随机调制信号下的模拟ppm，包括数据分析、绘图等等。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Random ppm modulated analog signal under Data analysis, plotting, etc..
C_Files
- 基于STC单片上的SD卡SPI协议初始化。(可读可写)-Based on STC SD card SPI protocol on the single chip initialization. (can you write readable)
face_segment
- 对输入的图片进行人脸识别并分割出人脸，需要matlab配置Face Parts Detection工具包-Enter the picture of face recognition and dividing a person' s face, you need to configure matlab Face Parts Detection Kit
pengyan
- 利用matlab写成的窄带噪声发生，解耦，恢复原信号，调试通过可以使用。- Using matlab written narrowband noise occurs, Decoupling, restore the original signal, Debugging can be used.
pen_ff30
- 对于初学matlab的同学会有帮助，ML法能够很好的估计信号的信噪比,可以实现模式识别领域的数据的分类及回归。- Matlab for beginner students will help, ML estimation method can be a good signal to noise ratio, You can achieve data classification and regression pattern recognition.
zhaokai_bishe
- 基于matlab的对于带有噪声的语音信号进行了相应的处理与分析，-Based on the matlab for the noise of the voice signal for the corresponding processing and analysis,