1

离散傅立叶变换DFT和快速傅立叶变换FFT的比较(Discrete Fourier Transform and Fast Fourier Transform Comparison)

matlab code for Simplified Gradient Descent Optimization

matlab实现区域生长，以鼠标单击图像中一点设定初始种子点。(using matlab to achieve regional growth.need to use the mouse to click one point of the image to sets the initial seed point.)

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.

说明：  这是一篇关于cmos锁相环频率合成器的文章(this is an article of cmos pll)

MATLAB无约束一维极值问题，解决无约束的一维极值问题(very good)

实现了最速下降法的算法，具体实例操作，可运行出结果，分子程序书写，简便易懂。(The algorithm of the steepest descent method, and specific examples, you can run the results, the molecular program written in easy to understand.)

边缘检测，用matlab编程。边缘检测是图像处理和计算机视觉中的基本问题，边缘检测的目的是标识数字图像中亮度变化明显的点。图像属性中的显著变化通常反映了属性的重要事件和变化。(Edge detection, using matlab programming. Edge detection is an image processing and computer vision in the basic problems, edge detection is to identify the purpose of the digital image brightness variations obvious point. Image attribute significant changes usually reflect important events and changes in properties.)

matlab2014b破解版，matlab最新版本，很好用的呢(matlab2014b cracked version, matlab latest version, good use of it)

intrinsic image decomposition