Alter among different sample channels when using A/D for dspic programming.
标签： programming different channels sample
上传时间： 2016-02-03
上传用户：kytqcool
DAC5614的VHDL控制程序。通过四个地址可实现四路的D/A输出。
上传时间： 2014-01-24
上传用户：hfmm633
基于fpga和sopc的用VHDL语言编写的EDA比较器和D/A器件实现
上传时间： 2013-12-15
上传用户：xz85592677
基于fpga和sopc的用VHDL语言编写的EDA采样高速A/D的存储示波器
上传时间： 2016-02-04
上传用户：Late_Li
可以进行曲线回归拟合算法的四参数算法。函数为 y = (a-d)/(1+(x/c)^b) +d . ec50.m 为其主要函数
上传时间： 2016-02-04
上传用户：我干你啊
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
标签： the decision clusters Cluster
上传时间： 2013-12-21
上传用户：gxmm
les connaissance d avance mathematique,
标签： connaissance mathematique avance les
上传时间： 2016-02-06
上传用户：13160677563
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。 and a simple clustering algorithm.
标签： quantization k-nearest algorithm decision
上传时间： 2016-02-07
上传用户：zhyiroy
自动下载vs2008,存放于D盘bak目录下,名字为hxp.gho
上传时间： 2016-02-07
上传用户：佳期如梦
一个用飞利浦的设备端D-12做设备端的实现mp3功能的例子
上传时间： 2016-02-08
上传用户：希酱大魔王
