matlabedge

segmentation tools for segmention lazy snaping

基于粒子群的神经网络优化算法的应用，在土壤水分特征曲线中的应用。(Neural network based on particle swarm optimization algorithm applied in the soil moisture characteristic curve application.)

数字信号处理试验指导书(sourcecode)，使用matlab语言比较，比较实用(Digital Signal Processing test guide book (sourcecode), using the matlab language of comparison, the more practical)

介绍了m 序列和Gold 序列的原理、性能和构造方法，接着在MATLAB 中用M 语言编程实现它们的产生和分析。(Describes the m-sequence and Gold sequence of principle, performance and construction methods, and then using M language in MATLAB programming their generation and analysis.)

用SDP方法计算基于方差的客观不确定性指标的程序。(Calculated using the SDP uncertainty variance based on objective indicators of the program.)

用matlab实现ami/cmi/hdb3编码(achieving ami/cmi、hdb3 using matlaa)

说明：  OMP算法，基于压缩感知的正交匹配追踪算法，能够很好的重构出原始信号(OMP algorithm based on compressed sensing orthogonal matching pursuit algorithm that can reconstruct the original signal very good)

乘子迭代过程，五个文件,实现迭代运算，有效提高性能(Multiplier iteration process ONE，Implement iterative operation, effectively improve the performance to realize iterative operation, effectively improve the performance)

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 algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

梅尔倒谱系数mfcc求法的Matlab代码(Mel cepstral coefficients mfcc Method Matlab code)