Matlab-Image-Processing

ora code is usefull apart with the codes sent above

说明：  一大批产生随机数的经典算法，非常有用，推荐实验中应用(A large number of classic algorithms for generating random numbers, very useful)

Kiel matlab project taken from website see any fault exist report me.Squirrel-cage induction motors (IM) are the workhorse of industries for variable speed applications in a wide power range that covers from fractional watt to megawatts. However, the torque and speed control of these motors is difficult because of their nonlinear and complex structure. In the past five decades, a lot of advanced control schemes for IM drive appeared. First, in the 1960’s, the principle of speed control was based on an IM model considered just for steady state. Therefore, the so-called “scalar control methods” cannot

四节龙格库塔程序，这是一个很高的程序，快来下载吧，齐纳的朋友么(this is a good for everything)

a paper from science direct presenting A SIMPLE WAY TO IMPLEMENT THE DIRECT COUPLING OF PV GENERATOR AND BA ITERY IN ENERGY SIMULATION MODELS

为一篇设计报告，篇末附有代码。用MATLAB实现一段音频的混响处理。运用多种滤波器实现混响、延时、加噪音效果。(As a design report, at the end of the article with the code. MATLAB an audio reverb processing. Using a variety of filter achieve reverberation, delay, and the noise effect. )

说明：  直流马达数学模型，包括三个不同的模型文件，以及相应的PID速度控制、位置控制的Matlab 演示文件(DC motor mathematical model, including the three different models of documents, and the corresponding PID speed control, position control of the Matlab demo files)

标准粒子群优化算法的程序。运用matlab编写。(Standard particle swarm optimization procedures. Using matlab prepared.)

：该文把局部三值模式(Local Ternary Patterns, LTP)纹理特征引入Mean Shift 跟踪算法，提出了基于多 特征的Mean Shift 人脸跟踪算法以解决Mean shift 跟踪算法的鲁棒性问题。通过对LTP 纹理特征的分析、研究， 提出了一个LTP 关键纹理模型，既增强了目标的关键纹理信息，又简化了LTP 纹理模型。在此基础上，提出一 种基于LTP 关键纹理特征和肤色特征的Mean Shift 人脸跟踪算法，有效地解决了Mean Shift 算法的鲁棒性问题。 为进一步提高对快速运动目标的跟踪速度和跟踪性能，该文引入了卡尔曼滤波器对目标进行预测。实验结果表明， 该文的算法在目标定位的准确性和跟踪性能上比Mean Shift 算法均有明显的提高。(: In this paper, the texture characteristics of the local ternary patterns Local Ternary Patterns (LTP) Mean Shift tracking algorithm proposed Mean Shift face tracking algorithm based on multiple features in order to solve the Mean shift tracking algorithm robustness. Texture characteristics of LTP analysis, research, a key LTP texture model, not only enhanced the key goal of texture information, but also simplifies the the LTP texture model. On this basis, based on the LTP key texture features and color characteristics Mean Shift face tracking algorithm, effectively solved the robustness of the Mean Shift algorithm. To further enhance the fast-moving target tracking speed and tracking performance, this paper introduces the Kalman filter to predict the target. The experimental results show that the algorithm of the text in the target positioning accuracy and tracking performance than the Mean Shift algorithm to significantly improve.)

IS-95的下行链路的RAKE接受代码。(The downlink rake code for IS-95.)