DstatcomDvr2

说明：  基于16QAM调制解调的OFDM信道估计，计算了不同信噪比下的误码性能曲线，并画出了图。(Comb based on the OFDM pilot channel estimation, calculation of the BER performance under different signal to noise ratio curve, and draw the map.)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

The cross-entropy (CE) method attributed to Reuven Rubinstein is a general Monte Carlo approach to combinatorial and continuous multi-extremal optimization and importance sampling. The method originated from the field of rare event simulation, where very small probabilities need to be accurately estimated, for example in network reliability analysis, queueing models, or performance analysis of telecommunication systems. The CE method can be applied to static and noisy combinatorial optimization problems such as the traveling salesman problem, the quadratic assignment problem, DNA sequence alignment, the max-cut problem and the buffer allocation problem, as well as continuous global optimization problems with many local extrema.

光伏阵列Simulink仿真文件 光伏阵列(PV array Simulink simulation files)

OFDM,用于OFDM编程，采用MATLAB，可以学习OFDM调制，用与802。11A，802.16.AC。(OFDM for OFDM programming using MATLAB, we can learn from OFDM modulation, using the 802. 11 A, 802.16.AC.)

使用MZM实现QPSK，内含QPSK的星座图，输入输出图像，输出相位变化图，眼图(Achieve QPSK using MZM , containing QPSK constellation, input and output images, the phase diagram of output, eye diagram)

mfile for matlab program

kpca 基于核主成分分析的源程序，有注释，希望对大家有帮助！(kpca based on kernel principal component analysis, source code, there are comments, want to help you!)

图像的中值滤波，能够从键盘输入窗口大小，自适应滤波(Image median filtering can be entered from the keyboard window size, adaptive filtering)

正则化工具箱，用于图像去噪，去模糊，修补等重建问题。(Regularization toolbox for image denoising, deblurring, repair and other reconstruction problems.)