R2008yuandaima

说明：  16psk的误码率，很全，程序齐全，真的很好(16psk BER, it is wide, the program complete, really good)

一本介绍MATLAB数组操作的技巧和窍门的经典图书，里面很多技巧和窍门都很实用，编写matlab代码的时候的工具书(the title of the book "MATLAB array manipulation tips and tricks")

3、 瑞利信道中的调制解调、信道估计： (1) 请推导出单径瑞利信道中的BPSK相干解调的理论误码率性能，并画出比特信噪比与误码率的关系曲线。 (2) 在单径瑞利信道中，请设计一种时分的导引辅助的信道估计方法，用Simulink进行仿真，测量BPSK的误码率性能，画出比特信噪比与误码率的关系曲线，并与(1)的曲线进行对比。 (3, the Rayleigh channel modulation and demodulation, channel estimation: (1) Please derive the single-path Rayleigh channel coherent demodulation of BPSK BER performance theory, and draw the signal to noise ratio and bit error rate curves. (2) single-path Rayleigh channel, please design a division of the guide-assisted channel estimation method, using Simulink simulation, measurement of the BER performance of BPSK, draw-bit signal to noise ratio and bit error rate curve, and with (1) of the curves were compared. )

本程序实现了kalman滤波功能，并附带了仿真图片(This procedure implements the kalman filtering, and with the simulation images)

主程序为mybss.m和fastica1.m。经过调试能够成功运行，和lmd一起使用效果不错，可以实现各频率的分离。(The main program is mybss.m and fastica1.m. After debugging can be run successfully, and lmd use with good results, the separation can be achieved for each frequency.)

chebyshev模拟低通滤波器matlab源码(chebyshev analog low-pass filter design (matlab source code))

从一个三维图像中取得上面各点的形状索引以及曲率。(get the shape index and curedness from a 3D range image)

SIFT特征（Scale-invariant feature transform，尺度不变特征转换)是一种电脑视觉的算法用来侦测与描述影像中的局部性特征，它在空间尺度中寻找极值点，并提取出其位置、尺度、旋转不变量(SIFT features (Scale-invariant feature transform, scale-invariant feature transform) is a computer vision algorithm to detect and describe the image characteristics of the locality, it scales in space to find extreme points, and extract its location , scale, rotation invariant)

matlab仿真作业，使用simulink，包括lorenz方程、卫星轨道、调制与解调(matlab simulation operations, the use simulink, including lorenz equation, satellite orbit, modulation and demodulation)

轨迹跟踪算法，能够有效降低噪声带来的影响(Trajectory Generation Using Sum-of-Norms Regularization)