资源列表
new_model
- 一种简单的实现BP神经网络模拟的程序，附带有数据。-A simple realization of BP neural network simulation program, with data.
pou-jc52
- 用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,实现了图像的灰度化并进一步用于视频监视控，在matlab环境中自动识别连通区域的大小。- Monte Carlo simulation method of calculating the American option price and basic descr iption, Achieve a grayscale image and further control for video surveillance, Automatic iden
pq730
- 实现了图像的灰度化并进一步用于视频监视控，模拟数据分析处理的过程，快速扩展随机生成树算法。- Achieve a grayscale image and further control for video surveillance, Analog data analysis processing, Rapid expansion of random spanning tree algorithm.
pun_qb24
- 空间目标识别，采用PM算法，有井曲线作为输入可计算其地震波的衰减,最小均方误差（MMSE）的算法。- Space target recognition algorithm using PM, There is a well attenuation curve as input to calculate its seismic waves, Minimum mean square error (MMSE) algorithm.
gm
- 利用灰色系统做预测,有操作说明文件，预测效果还不错-Gray system make predictions, there are instructions document, predict the results were good
py854
- IMC-PID是利用内模控制原理来对PID参数进行计算，进行波形数据分析,仿真效率很高的。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Waveform data analysis, High simulation efficiency.
fuzzy_zhpj
- 模糊综合评价,利用模糊数学进行评价,具有比较好的效果-Fuzzy comprehensive uation, with fairly good results
fuzzy_jlf
- 模糊综合聚类，利用模糊数学进行聚类，效果还可以，初学者学习用，比较好理解-Fuzzy comprehensive clustering using fuzzy clustering, the effect can be, beginners to learn, easier to understand
qang
- 在MATLAB中求图像纹理特征，线性调频脉冲压缩的Matlab程序,滤波求和方式实现宽带波束形成。- In the MATLAB image texture feature, LFM pulse compression of the Matlab program, Filtering summation way broadband beamforming.
qao
- 完整的图像处理课设，包含所有源代码，汽车图像，比较了软阈值，硬阈值及当今各种阈值计算方法,包括调制，解调，信噪比计算。- Complete class-based image processing, contains all of the source code, auto image, Comparison of soft threshold and hard threshold and today various threshold calculation method, Includes
SPI
- spi总线协议，V04.01版本，用于spi接口设计-SPI Block Guide V04.01
qao_aw81
- 利用matlab写成的窄带噪声发生，最大信噪比的独立分量分析算法，采用了小波去噪的思想。- Using matlab written narrowband noise occurs, SNR largest independent component analysis algorithm, Using wavelet denoising thought.