资源列表
111
- 基于DS1302，LCD1602，DS18B20的数字时钟的设计-Design of Digital Clock Based on DS1302, LCD1602 and DS18B20
temperature-control
- 用Labview和PID开发的温度控制系统，可以实现温度的精确控制。-With the temperature control system developed by Labview and PID, the temperature can be precisely controlled.
TextboxGood
- 完全自绘的文本框，支持背景全透明，可随意DIY-Very good Textbox control , has transparent mode.
s_t
- Stockwell提出的S变换管饭用于各个领域的信号分析，起源于小波变换。在语音信号处理当中等到了较为广泛的运用。- Returns the Stockwell Transform of the timeseries. Reference is Localization of the Complex Spectrum: The S Transform IEEE Transactions on Signal Processing, vol. 44., number 4, April 1996
CListCtrlTest4
- VC6实现的一个彩色列表框效果的例子，可直接拿来应用，比较少见哦！-VC6 achieve a color list box effect of examples, can be used directly, relatively rare!
MenuOfDlg
- 在VC++6.0环境下基于对话框的MFC进行编程实现四个数的求和与求平均值-In VC++6.0 environment programming MFC-based dialog to achieve four number sums and averages
CHALLENGING
- HEY THERE FELLAS I AM BISHAL I LOVE CODING I LOVE CODING I ALSO LOVE TO PLSAY AND EAT
Poiseuille-Flow
- Poiseuille Flow C++程序源代码,采用D2Q9模型，程序完美运行，运行结果可以看出Poiseuille Flow 的基本特性。-Poiseuille Flow C++ program source code, using D2Q9 model, the program perfectly, the results can be seen that the basic characteristics of the Poiseuille Flow.
mcaulay1986-(3)
- A series of computational experiments indicate that the signal acquisition error is minimized when a significant fraction of the CS measurements is allowed to saturate (10–30 in our experiments). This challenges the conventional wisdom of both conven
STSBL_DEMO
- A series of computational experiments indicate that the signal acquisition error is minimized when a significant fraction of the CS measurements is allowed to saturate (10–30 in our experiments). This challenges the conventional wisdom of both conven
Matlab_code_Q-VMP
- Compressive sensing is the reconstruction of sparse images or signals very few samples, by means of solving a tractable optimization problem. In the context of MRI, this can allow reconstruction many fewer k-space samples, thereby reducing sc
stage
- Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. This is b