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Regularized Linear Discriminant analysis. EEG signal

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

floyd算法主要用于最小生成树，最短路径，把散点输进去，就可以生成最短路径(loyd algorithm is mainly used for minimum spanning tree, shortest path, the scatter lost in, you can generate the shortest path)

说明：  可转债定价模型，matlab编写，根据中国国情，考虑到修正条款(convertable bond)

说明：  This code is related to the course Digital Communications. It easily reproduces the error probability as a function of the SNR per bit for QPSK and 16-QAM systems using MATLAB

主要是用matlab实现的数字水印，其中用到的技术是lsb(Achieved using matlab digital watermarking, which uses the technology is LSB)

阵列信号处理方面10个经典程序，包括波束形成，capon，MVCR等等，以及仿真图(10 classic program in array signal processing )

应用MATLAB软件模拟rossler模型，采用ode45解法(rossler model)

这个是Preisach模型的基本模块，Jenkin的源代码。这种基本算子的线性组合就构成了preisach模型。(This is the basic module of the Preisach model, Jenkin' s source code. A linear combination of this basic operator constitutes the preisach model.)