schwarzweifen

说明：  边界元方法, 声学计算，声场仿真，声压值误差计算(BEM acoustics)

这本书包含了很多Matlab编程的技巧，对初学者会有帮助。(This book contains a lot of Matlab programming skills would be helpful for beginners.)

针对DS-CDMA系统的QPSK调制方式的MATLAB仿真。(The simulation of QPSK modulation for DS-CDMA system based on MATLAB .)

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.

LDPC码的编解码Matlab仿真 希望对大家有用(LDPC codes codec Matlab simulation hope useful for everyone)

This code applies local histogram equalization on an input image with a view to improve its contrast ratio. The image is read, converted to grayscale and resized with the inbuilt function of MATLAB. The window size may be changed, however, the window shift is as per size of the window. The output is definitely a better contrast image as compared to the input but checkerboard effect is evident.

对模糊图像进行还原滤波，包括维纳滤波，拉普拉斯滤波等(Reduction of the fuzzy image filtering, including Wiener filtering, Laplace filtering)

自由空间入射 二维高斯光束的模拟 （PML边界）(The free space incident two-dimensional analog of the Gaussian beam (PML boundary))

使用基于约束的化学计量模型进行代谢通量可变性分析的例程(The use of constraint-based stoichiometric model of metabolic flux variability analysis routines)

无约束多维极值问题,适合数学计算,优化分析等极值问题的求解(Unconstrained multi-dimensional extremum problem, is suitable for mathematical calculations, the extremum problems of solving optimization analysis, etc )