PDAF

s1.m: 低频波检测。能从高频信号中检测出低频信号。并将信号输出以70倍因子downsample. s2.m: 将downsampling滤波器输出信号，用单级速率和多相upsampling。 s3.m: 自动识别车牌位置。此程序能从一张图片当中，自动识别出车牌的位置。 s4.m: 用Hough变换识别出一张带有水池的图片的水池分界线。 s5.m: 用原始的静态多副图片（例如：恐龙图片）构造出三维旋转立体图片。(signal processing)

plotfrewquencyresponse of a first order system

超声波测距程序，包含AD采样和信号处理等。(Ultrasonic ranging program, including AD sampling and signal processing.)

Login Filter_ Password Filter G Mail Test extends Test Case Source Code for Andriod.

禁忌搜索算法的matlab实现，以旅行商问题为例，使用该算法找出满意解。(Tabu search algorithm matlab realize, to the traveling salesman problem, for example, the use of the algorithm to find satisfactory solution.)

RS编解码的仿真，对初识RS的可能有所帮助(RS simulation)

matlab 的各种图像处理与视频处理算法 (very good c++ algorism very good matlab algorism )

这是一个求信号DEMON谱也就是包络谱的小程序， 信号是myfunction，DEMON.m里调用了这个函数( U8FD9 u162F u4E3 u4E3 u4E3 u6C2 u6C2 U8C03 u7528 u4E86 u8FD9 u4E2A u51FD u6570)

It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described

Several Simulink tutorials that I have collected.