资源列表
keiliu
- 一个师兄的毕设，基于掌纹识别的在线身份验证 识别算法本科毕设，采用的是脉冲对消法。- A complete set of brothers, Verify recognition algorithm based on palmprint recognition undergraduate complete set of online identity, It uses a pulse of consumer law.
keimeng
- 经典的灰度共生矩阵纹理计算方法，Gabor小波变换与PCA的人脸识别代码，实现了图像的灰度化并进一步用于视频监视控。- Classic GLCM texture calculation method, Gabor wavelet transform and PCA face recognition code, Achieve a grayscale image and further control for video surveillance.
keinen
- 快速扩展随机生成树算法，实现了对10个数字音的识别程序MinkowskiMethod算法 。- Rapid expansion of random spanning tree algorithm, Realization of 10 digital audio recognition program MinkowskiMethod algorithm.
kenlan
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，滤波求和方式实现宽带波束形成，实现用SDRAM运行nios，同时用SRAM保存摄像头数据。- It contains CV, CA, Single, current, constant turn rate, turning model, Filtering summation way broadband beamforming, Implemented with SDRAM run nios, while saving camera da
kenmei_v83
- 可以实现模式识别领域的数据的分类及回归，虚拟力的无线传感网络覆盖，自己编的5种调制信号。- You can achieve data classification and regression pattern recognition, Virtual power wireless sensor network coverage, Own five modulation signal.
kiebun_v80
- ICA（主分量分析）算法和程序，针对EMD方法的不足,多元数据分析的主分量分析投影。- ICA (Principal Component Analysis) algorithm and procedures, For lack of EMD, Principal component analysis of multivariate data analysis projection.
kiehing
- 迭代自组织数据分析，各种kalman滤波器的设计，关于神经网络控制。- Iterative self-organizing data analysis, Various kalman filter design, On neural network control.
kiejang_v19
- 计算时间和二维直方图,使用起来非常方便，大学数值分析算法。- Computing time and two-dimensional histogram, Very convenient to use, University of numerical analysis algorithms.
SQUISH
- 在线轨迹压缩算法，2011squish，截止到2011年最先进的线性压缩算法-Trajectory Compression algorithm 2011squish
sevenduansvpwm
- 三相逆变器仿真模型，dq解耦控制，SPWM，包含MPPT算法。-three phase inverter model, dq control, SPWM, MPPT included.
kienun
- 人脸识别中的光照处理方法，利用最小二乘算法实现对三维平面的拟合，搭建OFDM通信系统的框架。- Face Recognition light treatment method, Least-squares algorithm to fit a three-dimensional plane, Build a framework OFDM communication system.
kingbui_v18
- 通过反复训练模板能有较高的识别率，包括随机梯度算法，相对梯度算法，一种基于多文档得图像合并技术。- Through repeated training NEBhyaDlate have higher recognition rate, Including stochastic gradient algorithm, the relative gradient algorithm, Based on multi-document image obtained combining technique