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实用的MATLAB 实用教程 适合初学者(matlab)

运筹学整数规划求解的程序，用matlab编程实现最优解。(Operations research to solve integer programming procedure, the optimal solution using matlab programming.)

simple microprocessor that gives the greatest common divisor of 2 (4bit) numbers

通过实际的例子学习simulink中s函数的使用及编写(Learning through practical examples of the use of the simulink s in function and write)

MATLAB CODE FOR TIME DIVISION MULTIPLEXING SIGNALS

it is matlab code for seasonal time series

Affine finction to detect an dtrack features.

matlab金融建模中关于期权定价的教程和实例(Matlab financial modeling tutorials and examples of option pricing)

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.

FMCW调频连续波雷达的测距测角，基于分段非线性权重值的Pso算法，模拟数据分析处理的过程。( FMCW frequency modulated continuous wave radar range and angular measurements, Based on piecewise nonlinear weight value Pso algorithm, Analog data analysis processing.)