资源列表
FIR
- 基于DSP TMS320C55xx的FIR滤波器实现-Based on DSP TMS320C55xx FIR filter realization
jiyuwenlitezhengde-tuxiangjiansuo
- 很好用的一个基于纹理特征提取的图像检索visual c++ 源代码-Good use of a texture feature extraction based image retrieval visual c++ source code
ch4_keystone_contour
- 基于keystone变换校正距离走动的机载预警雷达高速运动目标动目标检测方法-High-speed moving target moving target detection method based on keystone correction transformation walking distance airborne early warning radar
WGControlServer
- 该源码是某工作室曾经用来工作WG的一个辅助软件，功能很强大，有很好的参考价值，可以控制使用该辅助的电脑，可以截屏，可以同时控制所有电脑的与运作等，功能十分强大，使用的后果，与本人无关，请不要找本人，该源码只作为技术参考！！ 参考内容:*主控台，包含总控端，远程桌面等源码-Plug the console, including total control terminal, remote desktop and other source
temperature-and-humidity-control
- 各种温湿度控制器，有pcb板，源代码，说明书等各种资料。-A variety of information on the various temperature and humidity control, there pcb board, source code, manuals, etc.
VEHICLE_MOTION_CAR1
- 采用C语言，并以s-function形式编写的车辆动力学车体运动模型。-Using C language, and the vehicle s-function written in the form of kinetic body motion model.
monijiebao
- 四步相移三维重构基础部分，用于模拟解包裹-Four-step phase-shift-based three-dimensional reconstruction of parts used to simulate unwrapping
clustering-algorithm
- K-Means动态聚类算法源程序，K-means算法进行了重点分析，K-means算法是最为经典的根据聚类中的均值进行聚类划分的聚类算法-Source dynamic clustering algorithm K-Means program, K-means algorithm are analyzed, K-means algorithm is the most classic based on K-means clustering in the clustering algorithm fo
ising
- 二维伊辛模型matlab建模Matlab programs for the Ising model-Matlab programs for the Ising model ising.m: the main file which contains a simulator for the 2D Ising model using Wolff sampling and Metropolis sampling, including parameters for temperature and
Kalman_filter-target_tracking
- 卡尔曼滤波在雷达目标跟踪上的仿真,设置了一个仿真场景，然后进行仿真以及分析。-Kalman filter simulation on the radar target tracking
Ticket
- 基于qt的票据打印的应用程序，可以打印20几种票据，非常使用。数据格式采用ncreport设计。-Qt-based applications bill printing, can print 20 several bills, very used. The data format using ncreport design.
cc-phat-ml
- 参考信号为m序列，可改，基于互相关的时延估计，CC,PHAT,ML-Delay estimation based on cross-correlation, CC, PHAT, ML