tlab111

SCE 的源代码，希望大家多支持..........................(SCE' s source code, I hope you will support ..........................)

在bate1版的基础上： 增加了关闭某条便笺时，记忆某条便笺的位置和大小的功能。 跟随窗体的按钮不再会溢出 改变了帮助文本的样式 在帮助中添加了作者信息 便笺的默认储存位置从原来的 D:\_NOTE_TEMP 更改为了 现在的 D:Program Filesakai_note 优化了使用过程中的说明与提示 临时文件单独存放与临时文件夹 解决了退出编辑状态时，部分时候文本不能换行显示的问题 akai 2011 from PHY. of CCNU 2013-2-22 ========================================= 在bate2版的基础上： 产品名由原来的 akai_note 改为 ackeline_note 便笺的默认储存位置从原来的 D:Program Filesakai_note 改为：D:Program Filesackeline_note 增加了便笺可以更改颜色的功能，六种颜色随心选！ akai 2011 from PHY. of CCNU 2013-2-22 =========================================(In the version on the basis of bate1: Increased when closing a bar notes, location and size of the function of memory in a memo. Follow the form of the button will no longer overflow Change the help text styles With the help of information added to The default storage location notes from the original D: _ NOTE_TEMP change order Now the D: Program Files akai_note Optimize the use of the process instructions and tips Separate storage of temporary files and temporary files folder Solve the exit edit state, some time can not wrap text display issues akai 2011 from PHY. of CCNU 2013-2-22 ========================================= Based on the version of the bate2: Product name changed from the original akai_note ackeline_note The default storage location notes from the original D: Program Files akai_note Read: D: Program Fi)

Description: This M-file plots the truncated Fourier Series representation of a square wave as well as its amplitude and phase spectrum.

对原始灰度图像进行图像压缩，对此图进行 8×8 DCT 变换后，分别只保留 DC系数，以及保留前 4、8、16 个变换系数(DC＋AC) ，然后再分别进行 IDCT 变换 (The original gray image compression, this map for 8 × 8 DCT transform, respectively, to retain only the DC coefficient, and to retain the former 4,8,16 months transform coefficients (DC+ AC), and then separately IDCT transform)

基于matlab的无刷直流电动机控制仿真，在simulink下建立系统模型(The brushless dc motor control system based on simulink simulation )

MIMO channel model and capacity

miller码的matlab(miller code matlab)

郑君里编著的信号与系统，书中各种原理的MATLAB仿真与MATLAB仿真的步骤，例程。(Junli edited signals and systems, various principles of the book MATLAB simulation and MATLAB simulation steps, routines.)

DM9000D circuit application

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier