Speech-Enhance

svm and matlab code

用matlab实现蚁群算法，求解TSP以及两地最优问题，在原始的基础上改进，效果良好。(use Matlab to realize ant colony algorithm to solve TSP and optimal problem, on the basis of the original improvement, the result is good. )

有关于matlab的程序，均匀光纤布拉格光栅滤波特性仿真程序 (With regard to the matlab program, the uniform fiber Prague grating filter characteristics simulation program)

利用户相关进行图像配准，精度高，希望对读者有所帮助。(image registration with cross corr)

说明：  通过输入一个有权图，求出它的最短的一条哈密顿回路。(By entering a right map, obtained with a shortest Hamiltonian circuit.)

利用matlab来实现工程光学里面一些实例，让学生们更容易了解这门学科的更实质性的问题！(Using matlab to achieve engineering optics inside some examples, so that students are more likely to understand this discipline more substantive issues!)

64QAM的设计论文，有非常高的参考价值(64QAM design papers, there is a very high reference value)

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.

C++ IIR filter module hided behind interfaces, coefitients format compatible with matlab SOI matices

MATLAB 程序，实现2ASK数字信号的产生。(The MATLAB program generation of 2ASK digital signal.)