zhengqunli

关于通信类课程中信道容量的计算问题的几点探讨(Courses on communication Calculation of Channel Capacity of Some of)

i want source code for image segmentation algorithm

说明：  光谱数据预处理之小波去噪，包含两个数据文件(Wavelet denoising for spectral data preprocessing)

说明：   该电路由一片四双向模拟开关集成电路CD4066为核心构成。每个电路内部有四个独立的能控制数字或模拟信号传送的开关。当水箱无水时，由于180K电阻的作用，使四个开关的控制端为低电平，开关断开，LED 不发光。随着水位的增加, 由于水的导电特性，使得IC的13脚为高电平，S1接通，LED1点亮。当水位逐渐增加时，LED依次发光指示水位。水满时， LED4发光， 显示水满。同时T1导通， B发出报警声，提示水已满。不需要报警声时，断开开关K即可。 (The circuit consists of a four-way analog switch integrated circuit CD4066 core composition. Within each circuit to control four separate digital or analog signal transmission in the switch. When the tank water, the role of the 180K resistor, so that the four low-side switch control, switch off, LED does not light. As the water level increases, the electrical properties of water, making the IC' s 13 feet high, S1 connected to, LED1 lights up. When the water level gradually increased, LED turn light level indication. Is full of water, LED4 LED display full of water. At the same time conducting T1, B alarm will sound, indicating that the water is full. Do not need to sound the alarm when the disconnect switch K can be.)

Matlab图形图像处理函数。全部的Matlab图形图像处理函数集合(Matlab graphics image processing function. All of the Matlab graphics image processing function set)

单神经元PID simulink建模。被控对象是DC-DC.(failed to translate)

标准压缩感知（CS）理论决定了可靠的信号恢复是可能给M= O（KLOG（N / K））的测量。我们证明了它可以通过利用超越简单的稀疏性和可压缩性由包括价值观和信号系数的位置之间的依赖关系更加逼真信号模型大大降低Mwithout牺牲的鲁棒性。(The standard compressive sensing (CS) theory dictates that robust signal recovery is  possible from  M=O(Klog(N/K))  measurements. We demonstrate that it is possible to substantially  decrease  Mwithout sacrificing robustness by leveraging more  realistic signal models that go beyond simple sparsity and  compressibility by including dependencies between values and  locations of the signal coefficients.   )

用于计算高阶累积量的程序。最高到6阶，其他可以以此类推，十分好用(Used to calculate the cumulative amount of high-level program. Up to 6 bands, the other can be so very easy to use)

Hopfield Neural Network

MATLAB CODE FOR STEGO IMAGE HIDING