pv_model_simulink_R2006b

本资料为数字信号处理的一个课程设计源代码，内容关于数字带通滤波器设计。(this source code is about digital ban pass filter designing.)

counter following code can be used in other projects

Digital Transmission

利用MATLAB实现克里金插值和重心拉格朗日插值(Using MATLAB and center of gravity to achieve Kriging interpolation Lagrange)

Steganography for images

Compressive Sensing： 从时域稀疏性和频域稀疏性两个不同角度实现基于MATLAB的压缩感知原理性能.对于Compressive Sensing 初学者有着极大的帮助。(Compressive Sensing： Based on MATLAB, codes realize CS theory from Time-Sparsing and Frequency-Sparsing field.It s really helpful for those who are fresh in CS field.)

基于遗传交叉算法的改进的混沌粒子群优化算法。(The improved chaotic particle swarm optimization algorithm based on genetic crossover algorithm has high convergence speed and high precision)

说明：  harris 角点检测 MATLAB 代码(Harris corner detection MATLAB code)

Overview The Simulink model shows an example how the Kalman Filter can be implemented in Simulink. The model itself is configured with a Gaussian process connected with a Kalman Filter. To directly use this model, one only needs to provide model prarameters including parameters of the Gaussian process, which are state space matrices, A, B, C, and D, initial state, x0, and covariance matrices, Q and R and similar parameters for the Kalman Filter, which can be in different values to mimic the model mismatch, plus the state covariance, P. The following examples show how this model can be used. The Kalman Filter can also be used as a standard model block to be connected with any other systems

matlab实现QPSK四相相移键控信号功率谱密度(matlab implementation QPSK quadrature phase shift keying signal power spectral density)