Micrord

说明：  通过matlab编程来优化层状光栅的尺寸，从而实现光栅在1.3微米作为100％效率的反射镜设计。(Through the matlab programming to optimize the size of lamellar grating in order to achieve the 1.3-micron grating as 100 percent efficient reflector design.)

MATLAB程序开发经典英文教程，帮助开发人员更好的利用MATLAB开发。(MATLAB Programming classic English tutorial to help developers better use MATLAB development.)

On success we return a pointer to a boot_params structure, and NULL on failure.

Zip includes files about Solving ODEs using matlab

指纹识别，利用gabor滤波器，提取指纹特征，只能呢读取bmp图像(fingerprint recognize)

调频连续波仿真程序。完成调频连续波的调制仿真。(Frequency Modulated Continuous Wave Simulation)

GSM中GMSK调制信号的产生，一个很有用的程序，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。( GSM is GMSK modulation signal generation, A very useful program, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.)

Non-rigid image warping using Thin-plate spline interpolation

说明：  由于阵列处理中常常需要对接收信号进行分析，MUSIC算法是其中最为经典的(As the array processing is often necessary to analyze the received signal, MUSIC algorithm is one of the most classic)

　传统的信号理论，是建立在Fourier分析基础上的，而Fourier变换作为一种全局性的变化，其有一定的局限性。在实际应用中人们开始对Fourier变换进行各种改进，小波分析由此产生了。小波分析是一种新兴的数学分支，它是泛函数、Fourier分析、调和分析、数值分析的最完美的结晶；在应用领域，特别是在信号处理、图像处理、语音处理以及众多非线性科学领域，它被认为是继Fourier分析之后的又一有效的时频分析方法。 小波变换与Fourier变换相比，是一个时间和频域的局域变换因而能有效地从信号中提取信息，通过伸缩和平移等运算功能对函数或信号进行多尺度细化分析（Multiscale Analysis），解决了Fourier变换不能解决的许多困难问题。(The traditional signal theory, is based on Fourier analysis based on Fourier transform, and as a kind of global change, it has some limitations. In the actual application of Fourier transform people began to various improved, wavelet analysis produced. Wavelet analysis is a new branch of mathematics, it is functional, Fourier analysis, harmonic analysis, numerical analysis of the crystallization of the most perfect In the fields of application, especially in signal processing, image processing, audio processing as well as many nonlinear scientific fields, it is considered to be the Fourier analysis after another effective time-frequency analysis method. Wavelet transformation and Fourier transform, compared is a time and frequency domain and the local transform can effectively extract information from signal, through the telescopic peace shift etc operation function of the function ? )