eflrls2

实现图像基本的缩放、旋转、平移、投影、仿射、相似变换等功能(Image basic scaling, rotation, translation, projection, affine, similarity transformation functions)

BPSK仿真程序，可以直接运行，保证无错，可统计误码率，观察功率谱变化。(BPSK simulation program can be run directly, to ensure error-free, statistical error rate can be observed power spectrum changes.)

Field 2 是丹麦理工大学（Technical University of Demark）的J.A.延森（Jorgen Arendt Jenson）开发的一款超声模拟软件，该软件基于线性声场理论， 其最基本概念是空间冲击响应，最早由Tupholme和Stepannishen等提出，空间冲击响应是一个和何置相关的函数，它与换能器上的激励信号卷积，可以得到发射波到焦点的任意一点的声场。换能器接收同波信号相当与发射的逆过程，将空间的反射点作为发射源，与接收换能器的空间冲击响应卷积，从而得到回波信号。(Field 2 is the Technical University of Denmark (Technical University of Demark) is an ultrasound simulation software JA Jensen (Jorgen Arendt Jenson) developed the software based on the linear sound field theory, the basic concept is the spatial impulse response, first by Tupholme and Stepannishen and other proposed space impulse response is a home-related functions and what its convolution with the excitation signal transducer, you can get any of the transmitted wave to the focal point of the sound field. Wave transducer receives a signal corresponding with the inverse process of transmission, the reflector point in space as a transmission source, and the receiving transducer spatial convolution of the impulse response, thereby obtaining the echo signal.)

在已知内外方位元素的情况下，使用matlab程序编写代码实现共线方程求解。(Under the condition of the interior and exterior orientation elements are known, the use of matlab code to realize the collinear equation.)

高炉trt模糊pid仿真程序，两输入三输出，含比对部分(Blast furnace TRT fuzzy PID simulation program, the two input three output, including the comparison section)

guitar tuner for matlab

说明：  对成型脉冲串进行中频调制，输出为复基带信号。还可通过各种自定义信道。(On the frequency modulated pulse train forming the output for the complex baseband signal. Can also be customized through various channels.)

PI控制的相关模型，以及PI参数设置问题。。。(PI control relevant model, and PI parameter setting problem.)

电机矢量控制仿真，包含自建的异步电机模型，svpwm模型等(modle of motor vector control)

The adaptive Neural Network Library is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms.