shuiyinjiazaosheng

MATLAB的图像处理工具箱手册，涉及了图像显示、图像变换、图像配准等一些常用的图像操作(MATLAB image processing toolbox manual deals with image display, image transformation, image registration and some other commonly used image manipulation)

this code is mainly for frequency sampling. It has the carrier and the sampling frequency.

离散系统的时域分析以及用MATLAB实现。(Discrete systems with time-domain analysis using MATLAB.)

一种改进的基于PCNN神经网络和QPSO粒子行为的PSO的图像滤波算法，也可以较好地去除高斯噪声(Improved PCNN-based neural network and PSO behavior QPSO particle image filtering algorithm can also be better to remove Gaussian noise)

file that simulâ tes a system in matlab for help of beginners

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

采用hopfield进行字母识别，可以识别英文字母和数字(Carried out using hopfield letter recognition, can recognize letters and numbers)

this paper examines the specific role played by a key component of OSNs: the extremely popular and widespread set of third-party applications on some of the most popular OSNs. With over 81,000 third-party applications on Facebook alone, their impact is hard to predict and even harder to study.

说明：  最小二乘拟合的c++实现，使用差分，在matlab中设置c++编译器为vc++2005或以上，运行test.m即可(Least-squares fit in c++ set compiler as vc++ in matlab then run test.m )

Efficient subpixel image registration algorithms