FDM

How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments. (How the K-mean Cluster workStep 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (Nk) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3. Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4. Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.)

Smooths scattered binary response data with a P-spline

當天線位置估計錯誤時，可將其依據演算法修正回來，並且使用apdaptive beamforming技術，能偵測出jammer在哪兒的源碼。(Antenna position estimation error, the same day can be revised based on algorithms to come back and use apdaptive bemforming technology, able to detect where a jammer source.)

Capon、MUSIC、Root-MUSIC、ESPRIT写学位论文必用，毕设必备(the classic traditional methods, writing a dissertation must be used, complete set essential. )

image reconstruction using hybrid transform

混沌理论多尺度熵matlab实现函数，内附典型应用文章一篇。(Chaos theory matlab realize multiscale entropy function, enclosing a typical application of the article.)

完整的跑表设计，时，分，秒都显示，希望能对大家有用，谢啦(Complete stopwatch design, hours, minutes, seconds, show, hoping to be useful for everyone,)

说明：  计算机视觉的一个典型应用。使用SIFT方法做特征提取，然后用于拼接。(A typical computer vision applications. SIFT feature extraction method used to do, and then used for splicing.)

换句话说,信号可能仍然是 探测到,但以较低的质量。这是通常所说 对软失败。幸运的是,新的传输的多样性 方案提供了相同软失败。对(one of the receive chains fail, and the other receive chain is operational, then the performance loss is on the order of the diversity gain. In other words, the signal may still be detected, but with inferior quality. This is commonly referred to as soft failure. Fortunately, the new transmit diversity scheme provides the same soft failure. To)

这为一个相控阵列天线的波束形成与指向控制的ＭＡＴＬＡＢ仿真软件(This is a phased array antenna beam forming and pointing control of the MATLAB simulation software)