Nonlinear-integer-programming-box

关于特殊函数计算的的源代码，matlab编写的，值得收藏，欢迎大家踊跃下载，为中国的科研事业做贡献(About the special function of the source code, matlab prepared and worthy of collection, enthusiastically welcomed the U.S. download, in order to make China' s contribution to the cause of scientific research)

说明：  八向链码程序，比较有用，在MATLAB环境下使用(Eight to chain code process, more useful, in the MATLAB environment)

说明：  本文通过对目前常用的现代谱估计方法一一最大墒谱估计方法中的谱 峰幅度和谱线分辫率两个基本问题的分析和讨论，和经典的傅立叶谱估计方法作比 较，指出在最大墒谱估计方法的应用中应注意的几个问题。 (Based on the currently used modern spectral estimation method 11 method of maximum entropy spectral estimation of the spectral peak amplitude and spectral resolving power are two basic problems of analysis and discussion, and the classical Fourier spectrum estimation methods for comparison, that the maximum Application of entropy spectral estimation method should pay attention to several issues.)

一个时滞微分方程的例子及matlab程序代码(These are some delay differential equations matlab code.)

帮你在最短的时间内精通MATLAB7，内含详细讲解！(Help you proficient in the shortest possible time MATLAB7, containing detailed explanation!)

以梯度投影法迭代直接求解出观测值的改正数，给出一个简单算例，以资验证。 (The correction of the observation is obtained by the interation with gradient projection method and a simple calculation example is given to verify it)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

说明：  最小二乘法的Matlab参数辨识程序（含实例）(Matlab least squares method of parameter identification procedures (including examples))

首先将测量值与估计值都进行模糊化，然后计算测量值与估计值之间的格贴近度, 利用贴近度来描述各个传感器在测量中的权重，最后得到融合结果。(First, the measured values and estimated values are fuzzified, and then calculated between measured and estimated values of the lattice close to the degree of closeness to describe the use of various sensors in the measurement of weight, and finally get fusion.)

Matlab implementation of the algorithm to compute the Discrete Fourier Transform using the Divide Conquer approach, as described in the book Digital Signal Processing of the autors John G. Proakis and Dimitris K. Manolakis.