phatofdm

用Matlab实现的图像边缘检测和分割的应用程序(Using Matlab to achieve the image edge detection and segmentation applications)

music算法的实现，用于随机过程信号主要频率谱分析(music algorithm, a random process for the main signal frequency spectrum analysis)

用凯撒窗进行FIR低通滤波器的设计，对输入信号进行滤波(Implementation of FIR low-pass filter)

RLS算法详解及对多径信道的均衡，误差曲线特性(RLS algorithm)

alphabet recognization, a simplified version only to detect few numerical pronunciations

山猫飞控的matlab文件，包括自适应控制程序(Bobcats flight control matlab files, including adaptive control program)

说明：  该文件是描述如何用matlab自带的多项式求根方法计算高次方程的根的代码(The paper describes how to use the Matlab own method for solving polynomial equation of the high-code)

tower of henoi problem solving with MATLAB.

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. )

matlab辅助神经网络设计指南,对于MATLAB的运用有很大的参考价值(matlab neural network-assisted design guidelines for the use of MATLAB have great reference value)