sisodecode

托业资料，一些托业必备的短语大全，在里面的文章中有标注(TOEIC data, a number of essential phrases TOEIC Daquan, in which there are marked article)

matlab生成地震信号处理的雷克子波，常用来加噪之后检测算法.(generating seismic signal processing matlab Ricker wavelet, used to increase noise after detection algorithm.)

模极大值滤波，对信号进行分解和重构。所采用信号是matlab自带信号。(Modulus maxima filtering, the signal decomposition and reconstruction. Signal is used in signal matlab own.)

this file include dwt watermarking method which is implemented in malab

this file is m-file for design of ZCS/ZVS converter

Low-pass filters allow the low frequency components of an input signal to pass through while attenuating (reducing) high frequency components. Measurement noise fall into the high frequency range of the signal spectrum, while the underlying process signal usually lies towards the low frequency end. Thus filters that are used to remove noise from measurements are of the low-pass types. This program uses Chebyshev FIR low pass filter based on antenna theory approach to filter noise from human speech signal.

dijksra的算法程序，在matlab里就可以用了，是M文件的。(algorithm program dijksra, can be used in matlab M-file.)

EEMD AND EMD故障诊断新的方法，有效提取故障信号(EEMD AND EMD)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)

最小均方波束插值算法matlab仿真程序，自编已验证(LMS beam interpolation matlab simulation program, self Verified)