training

matlab环境下开发的模糊控制原程序。(matlab environment developed under the original procedure of fuzzy control.)

qrs detection code written in matlab

A typical format for a DPPM signal in a UWB system is derived that of a PPM signal. The error probabilities of DPPM with receive diversity over additive white Gaussian noise (AWGN) channels and Nakagami fading channels are analyzed.

matlaba仿真移相全桥的零电压开通和软关断(dcac-acdc zvs)

Program made in C ADI-FDTD with PEC in 2 Dimensional

the difference between images

计算了贝塞尔函数的一阶导数的零点。 更新BessDerivZerosBisect.m这些变化： 1。允许对m= 0 2。允许用户指定特定的m和k值理想。 3。允许公差输入参数 4。使用一个表的查找能为m和k的小值接近初始化 5。添加错误检查 6。计算衍生w.r.t.以X而不是w.r.t.米（虽然老方法的工作也。）(Calculates the zeros of the first derivatives of Bessel function. Updates BessDerivZerosBisect.m with these changes: 1. Allows for m = 0 2. Allow the user to specify the particular m and k values desired. 3. Allows for a tolerance input parameter 4. Uses a table look-up to get closer initializations for small values of m and k. 5. Adds error checking 6. Computes the derivative w.r.t. to x rather than w.r.t. m (although the old method works, too.))

在数字信号的基带传输过程中，信息传输速率在满足香农公式的条件下还极大地受到码间干扰的限制(It is also limited by intersymbol interference when transmission speed of code accord with Shannon expressions in the course of baseband transmission of digital signal.)

This code demonstrate CORDIC Rotation and Vectoring in circular mode. Also with compensation and angle correction. Also a code for Givens Rotation.

BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets. An advantage of Birch is its ability to incrementally and dynamically cluster incoming, multi-dimensional metric data points in an attempt to produce the best quality clustering for a given set of resources (memory and time constraints). In most cases, Birch only requires a single scan of the database. In addition, Birch is recognized[1] as the, "first clustering algorithm proposed in the database area to handle noise (data points that are not part of the underlying pattern) effectively".