matlab

MSK 完整的调制及解调程序，包含主函数和所有的调用函数。(MSK modulation and demodulation contain main function and subfunction.)

很全的matlab 命令集，很不错，共享下。(Very wide of the matlab command set, it is good to share.)

说明：  基于haar小波的图像压缩matlab源码(source of image compression based on haar wavelet)

EVO CAM config for channels of sat

simplex 矩阵，由 Hadamard 矩阵转化而来，可用于脉冲编码技术，另附序列相关函数程序 (simplex matrix, the Hadamard matrix transformed from pulse coding techniques can be used, attached serial correlation function of the program)

子载波数128位数/ 符号 2符号数/ 载波 1000训练符号数 0循环前缀长度8 调制方式 4-QAM多径信道数3 IFFT Size128 信道最大时延 2(ofdm program 4QAM modulation. Subcarriers median number of 128 /2 Symbol Symbol/carrier cyclic prefix length of the number of training symbols of 1000 0 8 modulation mode 4-QAM multi-path channel number 3 the IFFT Size 128 channel maximum delay)

为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM初始化条件小敏感，在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时，除外圈故障特征线发生明显迁移，其他测试样本故障特征线仍在原聚类中心附近，整体故障识别率保持在100 ，因此，该方法能精确、稳定提取故障特征，为实际滚动轴承智能故障诊断提供参考。( In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value decomposition was proposed for fault diagnosis using standard fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were decomposed by VMD, and the modes characteristics were further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the test samples were clustered by a Hamming nearness approach, and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under variable loads. By comparing with a method based on EMD, this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo)

turbo码，tuobo码的译码算法，其中包括log-map算法和sova算法(turbo code，including log-map and sova)

edge based active contour model as an application of distance regularized level set evolution

Kalman filter simple illustration