-
C++程序设计源代码例
C++程序设计源代码例-C programming source code cases
- 2023-02-20 05:50:03下载
- 积分：1
-
非常实用的一款计算器
说明： 这是一款非常实用的计算器,我认为其实用程度远远胜过Windows系统提供的计算器.主要特色是支持多项式运算,即可以一次输入整个多项式,并能够识别运算的优先级(利用堆栈实现)(This is a very practical calculator, I think far better than using Windows systems calculator. The main feature of polynomial Operational support, which can import an entire polynomials, and to identify the priority level computing (using stack realization))
- 2021-02-19 09:59:44下载
- 积分：1
-
基于模糊PID的啤酒糊化温度控制（余光超）
设计了模糊PID参数控制，很好的控制变化的温度，精度较高，效果好(based on FUZZY PID control)
- 2018-06-24 09:50:17下载
- 积分：1
-
singlecycle_mips
single cycle mips design by verilog.
- 2020-09-07 19:48:02下载
- 积分：1
-
ICCProfiles
说明： ICC Profiles and Monitor Settings Database - TFTCentral
- 2020-06-18 11:20:02下载
- 积分：1
-
abe37e3f5fd1cf84e58575b3de6d4963
it is useless, i am sorry
- 2020-06-16 00:00:07下载
- 积分：1
-
实验4-5：广播中加入发射功率等级
说明： NRF52832 的广播中加入发射功率等级实验(Transmitting Power Level Experiments in NRF52832 Broadcasting)
- 2019-05-08 09:16:27下载
- 积分：1
-
SimpleBraytonCycleLayout
说明： 超临界二氧化碳布雷顿简单循环MATLAB计算程序，需要输入热源、冷凝器、压缩机、透平参数。(The supercritical carbon dioxide Brayton's simple cycle MATLAB computing program requires the input of heat source, condenser, compressor, and turbine parameters.)
- 2021-03-26 12:59:13下载
- 积分：1
-
a simple network util
a simple network util
- 2022-12-22 21:05:03下载
- 积分：1
-
joint_sparse_algorithms-master
说明： 我们描述了所提出的方法对超声（US）信号的压缩多路复用的直接应用。该技术利用压缩多路复用器架构进行信号压缩，并依靠频域中US信号的联合稀疏性进行信号重建。由于换能器元件具有压电特性，因此可以获得有关US信号频率支持的准确先验知识，并且可以在联合稀疏算法中使用。
我们在数值实验中验证了所提出的方法，并显示了它们在秩次缺陷情况下相对于最新方法的优越性。我们还证明，与没有已知支持的重建相比，该技术可显着提高体内颈动脉图像的图像质量。(We describe a direct application of the proposed methods for compressive multiplexing of ultrasound (US) signals. The technique exploits the compressive multiplexer architecture for signal compression and relies on joint-sparsity of US signals in the frequency domain for signal reconstruction. Due to piezo-electric properties of transducer elements, accurate prior knowledge of the frequency support of US signals is available and can be used in joint-sparse algorithms.
We validate the proposed methods on numerical experiments and show their superiority against state-of-the-art approaches in rank-defective cases. We also demonstrate that the techniques lead to a significant increase of the image quality on in vivo carotid images compared to reconstruction without known support.)
- 2020-03-16 16:45:38下载
- 积分：1
