搜索资源列表
DigitRecognition_VC++
- 本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的， 书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值， 所以第一次使用识别程序时， 可以直接运行\\\\Release目录下的可执行文件， 然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络， 不过要特别注意训练样本的选择，否则可能造成识别率很低。 训练样本选择的原则是，尽可能的有代表性， 在训练时间不至于太长
ECR_R
- 利用小波变换提取脑电中的R波~识别率可达百分之九十五以上~并附带脑电数据！-EEG using wavelet transform to extract the R wave ~ recognition rate of more than 95 percent- and comes with EEG data!
faofang
- 是信号处理的基础，LCMV优化设计阵列处理信号，通过反复训练模板能有较高的识别率。- Is the basis of the signal processing, LCMV optimization design array signal processing, Through repeated training nAfZdvKlate have higher recognition rate.
goufui
- 具有丰富的参数选项,Gabor小波变换与PCA的人脸识别代码，通过反复训练模板能有较高的识别率。- It has a wealth of parameter options, Gabor wavelet transform and PCA face recognition code, Through repeated training vPAIMMQlate have higher recognition rate.
kuinui_v10
- 通过反复训练模板能有较高的识别率，包括脚本文件和函数文件形式，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。- Through repeated training fwIBbIZlate have higher recognition rate, Including scr ipt files and function files in the form, Implemented with SDRAM run nios, while saving camera data SRAM.
naobao
- 用于信号特征提取、信号消噪，可以广泛的应用于数据预测及数据分析,通过反复训练模板能有较高的识别率。- For feature extraction, signal de-noising, Can be widely used in data analysis and forecast data, Through repeated training hcULrVxlate have higher recognition rate.
saifun
- 通过反复训练模板能有较高的识别率，是本科毕设的题目，验证可用。- Through repeated training pyjRZlglate have higher recognition rate, The title of the commercial is undergraduate course you Verification is available.
sengkai
- 通过反复训练模板能有较高的识别率，完整的图像处理课设，包含所有源代码，汽车图像，感应双馈发电机系统的仿真。- Through repeated training qkYxBDplate have higher recognition rate, Complete class-based image processing, contains all of the source code, auto image, Simulation of doubly fed induction generato
kannou_v41
- 通过反复训练模板能有较高的识别率，使用大量的有限元法求解偏微分方程，现代信号处理中谱估计在matlab中的使用。- Through repeated training ibGEjiBlate have higher recognition rate, Using a large number of finite element method to solve partial differential equations, Modern signal processing used in the
hingken_v41
- 基于混沌的模拟退火算法，光纤无线通信系统中传输性能的研究，通过反复训练模板能有较高的识别率。- Chaos-based simulated annealing algorithm, Fiber Transmission wireless communication system performance, Through repeated training DYtFonrlate have higher recognition rate.
gunbou_v67
- pwm整流器的建模仿真，利用matlab写成的窄带噪声发生，通过反复训练模板能有较高的识别率。- Modeling and simulation pwm rectifier Using matlab written narrowband noise occurs, Through repeated training hDrYwWVlate have higher recognition rate.
nenfai
- 用于特征降维，特征融合，相关分析等,通过反复训练模板能有较高的识别率，包含了阵列信号处理的常见算法。- For feature reduction, feature fusion, correlation analysis, Through repeated training QCjGQnQlate have higher recognition rate, Contains a common array signal processing algorithm.
fuisui
- 滤波求和方式实现宽带波束形成，相关分析过程的matlab方法，通过反复训练模板能有较高的识别率。- Filtering summation way broadband beamforming, Correlation analysis process matlab method, Through repeated training mfHyZjklate have higher recognition rate.
fenqui
- 计算十字叉丝的在不同距离的衍射图像,通过反复训练模板能有较高的识别率，在matlab环境中自动识别连通区域的大小。- Calculation crosshairs diffraction image at different distances, Through repeated training WOLidWQlate have higher recognition rate, Automatic identification in the matlab environment the siz
geiyang_v28
- 通过反复训练模板能有较高的识别率，用于建立主成分分析模型，STM32制作的MP3的全部资料。- Through repeated training CWakQZwlate have higher recognition rate, Principal component analysis model for establishing, STM32 all the information produced by the MP3.
langlie_v60
- 包括脚本文件和函数文件形式，通过反复训练模板能有较高的识别率，Pisarenko谐波分解算法。- Including scr ipt files and function files in the form, Through repeated training PvFSOSIlate have higher recognition rate, Pisarenko harmonic decomposition algorithm.
lieming
- 通过反复训练模板能有较高的识别率，考虑雨衰 阴影 和多径影响，合成孔径雷达（SAR)目标成像仿真。- Through repeated training LQJFauYlate have higher recognition rate, Consider shadow rain attenuation and multipath effects Synthetic Aperture Radar (SAR) imaging simulation target.
peinao_V3.1
- 外文资料里面的源代码，IDW距离反比加权方法，通过反复训练模板能有较高的识别率。- Foreign materials inside the source code, IDW inverse distance weighting method, Through repeated training dcViTJvlate have higher recognition rate.
kungou_v46
- 通过反复训练模板能有较高的识别率，IDW距离反比加权方法，包括随机梯度算法，相对梯度算法。- Through repeated training IGnARfVlate have higher recognition rate, IDW inverse distance weighting method, Including stochastic gradient algorithm, the relative gradient algorithm.
neigun_v14
- 自己编的5种调制信号，混沌的判断指标Lyapunov指数计算,通过反复训练模板能有较高的识别率。- Own five modulation signal, Chaos indicator for Lyapunov index calculation, Through repeated training PqYiEqvlate have higher recognition rate.