DaoRu

说明：  里面什么都有大家可以自己查看，里面说的都很详细，可以借鉴一下，请注明版权。(Has everything you can own view, which says very detailed, you can learn about, please indicate the copyright.)

能够利用游程编码和四叉树编码完成图像二值压缩。(Can use run-length coding and quadtree coding of image binary compression.)

一个比较典型的PID处理程序，在使用单片机作为控制cpu时，请稍作简化，具体的PID 参数必须由具体对象通过实验确定。由于单片机的处理速度和ram资源的限制，一般不采用浮点数运算， 而将所有参数全部用整数，运算到最后再除以一个2的N次方数据（相当于移位），作类似定点数运算，可 大大提高运算速度，根据控制精度的不同要求，当精度要求很高时，注意保留移位引起的“余数”，做好余 数补偿。这个程序只是一般常用pid算法的基本架构，没有包含输入输出处理部分。 (A typical PID process, using the microcontroller as a control cpu, make some simplification, the specific PID parameters must be determined experimentally by a specific object. As the chip processing speed and ram resource constraints, generally do not use floating-point operations, and all parameters of all integers, and divided by an operator to the last N-th power of 2 data (the equivalent of the shift) for a similar fixed-point operations, can greatly improve the speed of operation, according to the different requirements of precision control, when high precision, attention to retain the shift caused by the " remainder" and on the remainder of compensation. This procedure is commonly used basic structure pid algorithm, does not include input and output processing section.)

Histogram equalization

Phash software base version

信号分析程序，对信号进行分析处理。。。。(Signal analysis procedures for the analysis of signal processing)

General Embedded Quantization for Wavelet-Based Lossy Image Coding

说明：  假设时变系统的特性用一个系数为时间函数的n阶微分方程的形式来描述，仿真该系统(Assuming time-varying characteristics of the system as a function of time with a coefficient of order n in the form of differential equations to describe the simulation of the system)

用matlab绘制光子晶体光纤的程序，可以绘制出六边形光子晶体光纤及其参数的设定(Draw photonic crystal fibers using matlab program, you can draw a set of hexagonal photonic crystal fiber and its parameters)

扩展卡尔曼滤波程序，用一个简单的示例进行仿真。对理解卡尔曼滤波有很大帮助。(Extended kalman filtering program, with a simple example of simulation. This example is a great of helping to understand the kalman filter.)