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BER with FSK modulation written in MATLAB.

matlab有限元教程，交会你matlab的秘密，此乃神书，神书(matlab study，good)

在未来B3G/4G系统中所采用的SCME信道模型是SCM信道模型的扩展。扩展保持简便性和向后兼容性(In the future B3G/4 g system adopted by the SCME channel model is an extension of the SCM channel model. Extension keep ease and backward compatibility)

我在毕业设计时做的一个MATLAB实现图像的SIFT特征提取程序，并做在不同光照、不同视角下的 vZnbfT 特征匹配，还做了 zSCjeKh 特征值的提取转换，编译通过(I graduated the design of a MATLAB to achieve the image of the SIFT feature extraction process, and do in different light, different angles of the vZnbfT feature matching, but also to do the zSCjeKhfeature extraction and conversion, the compiler through)

主要是用于提取超声导波的时域特征，例如偏度参数、峰度系数、形状系数、离散系数等等(Time Domain Characteristics for Extracting Ultrasound Guided Waves)

基于多相结构的信道化接收机，包含特征值与特征向量的提取、训练样本以及最后的识别，自写曲率计算函数 。( Channelized receiver based on multi-phase structure, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, Since writing the curvature calculation function.)

moore响度模型erb级计算，完成版，共同没努力(moore loudness calculation)

　支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度，Accuracy）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力[14]（或称泛化能力）。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)

wavelet,很好用的原码哦，一起试试吧(wavelet, with the original code Oh well, try it with)

Bode plot using MATLAB.. it was in our 6th sem laboratory for the purpose of examination part we studied