Getting-Started----Working-with-Texas-Instruments

我用matlab写的一个corner detector, 效果比现在流行的harris，susan，CSS等效果要好。 Algorithm is derived from: X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004. Improved algorithm has been included in A Corner Detector based on Global and Local Curvature Properties and submitted to Optical Engineering. (err)

MYADDER M-file for myAdder.fig MYADDER, by itself, creates a new MYADDER or raises the existing singleton*. H = MYADDER returns the handle to a new MYADDER or the handle to the existing singleton*. MYADDER( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in MYADDER.M with the given input arguments. MYADDER( Property , Value ,...) creates a new MYADDER or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before myAdder_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to myAdder_OpeningFcn via varargin. It s great code for learning GUI in Matlab simple and basic.

说明：  Silicon N-Channel MOSFET Triode 射频mos器件的datasheet(Silicon N-Channel MOSFET Triode RF device datasheet mos)

模式识别中用matlab实现c均值的计算，分类实现的算法。(matlab，c-means fuction)

BPSK, QPSK, 16-QAM Modulation Mapping BER in communication

face recognition by ga

Simulink工具编写代码(S-Function 方式)，产生一单径瑞利信道，其多普勒谱 为经典谱，其中移动速率为 120km/h。(Simulink tools to write code (S-Function mode) to generate a single path Rayleigh channel, the Doppler spectrum For the classical spectrum, where the rate of movement of 120km/h.)

documents about the voltage source converter

说明：  边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)

用于对数据的拟合，包括威布尔分布、正态分布、对数正态分布(Used for fitting the data, including the Weibull distribution, normal distribution, lognormal distribution)