gengausslegquadrule

matlab 下经典的利用wavedec2,appcoef2,detcoef2对图像进行分解提取高低频系数完成图像压缩和重构的源程序.(matlab under the classic use of wavedec2, appcoef2, detcoef2 image decomposition extraction coefficient of the completion of the high-low frequency image compression and reconstruction of the source.)

融合结果的评价程序源码，MATLAB环境下实现(The results of the evaluation process integration source, MATLAB environment to achieve)

OFDM 同步算法的描述 和源代码包括信道说明 和 各种参数的定义(OFDM synchronization algorithm description and source code including the channel description and definition of various parameters)

说明：  利用matlab软件，使用距离变换和分水岭法对图像进行分割(Using matlab software using the distance transformation and watershed image segmentation method)

DIGITAL water marking

matlab符号计算，包括符号类型的创建、使用、任意精度数学计算、微积分等等重要方法，值得借鉴！(Matlab symbolic computation, including the types of symbols to create, use, arbitrary precision arithmetic Calculus, etc. important method, which is worth learning from.)

这是一个改进的自适应canny算法，该方法采用改进的开关型中值滤波器对图像做去噪工作，再把整幅图像分割为若干子图像，最后在充分考虑全局以及各子图像的边缘梯度信息后，自适应地生成动态阈值。(The new Canny adaptive method divides image into sub-images,then determinates the thresholds automatically according to the whole image edge information and the sub-images edge information.)

实现将jpg格式的图片转换为rgb565格式并按照16进制格式存储在txt文档中，网上很难有其他相关的程序，matlab编写经过实际验证很好用(Achieve the jpg format images converted to rgb565 hexadecimal format and stored in accordance with the format in txt document online is difficult to have other related procedures, matlab write-proven good use)

MATLAB Code for Closed Loop Speed Control of three phase Induction motor using Constant V/f

说明：  最小均方濾波器是一類可通過最小化誤差訊號之均方值而修正濾波器係數，以類比所需理想濾波器的自適應濾波器，其中作為修正依據的誤差訊號為理想參考訊號與實際輸出訊號之差。該種濾波器所用之最小均方法只以當前之訊號誤差值為準進行修正，是一種隨機梯度下降法。最小均方法係由斯坦福大學的Bernard Widrow教授及他的首位博士班學生Marcian Hoff於1960年提出。最小均方濾波器屬於常見的自適應濾波器種類之一。(The minimum mean square filter is an adaptive filter that can correct the filter coefficients by minimizing the mean square value of the error signal to analogize the desired ideal filter. The error signal used as the correction reference is the ideal reference signal and the actual output. The difference between the signals. The minimum averaging method used in this kind of filter is only corrected based on the current signal error value, which is a stochastic gradient descent method. The minimum mean method was proposed in 1960 by Professor Bernard Widrow of Stanford University and his first PhD student, Marcian Hoff. The least mean square filter is one of the common types of adaptive filters.)