DolphChebyshevarray1

有关于MATLAB的在数字信号处理方面的书籍，介绍了MATLAB的基本功能(On the MATLAB signal processing in digital books, introduces the basic functions of MATLAB)

说明：  多个无人机的群飞行仿真 多个无人机的群飞行仿真(A number of UAV flight simulation group a number of UAV Flight Simulation Group)

说明：  《MATLAB 7.0编程基础基础》源程序，适合初学者使用，第6章(&quot MATLAB 7.0 programming foundation base&quot source, suitable for beginners, Chapter 6)

RS编码的例子，可以参考这个学RS编码,可以参考通信原理的书籍来对照来学！(This is a example about RS coding ,and you can learn RS by that.)

通过M atlab 模拟了随机产生的一定概率分布的信号序列, 叠加高斯噪声后利用最大后验概率(MAP)检 测到的误码率, 做出BER~ SNR曲线, 并与理论计算得到的曲线进行比较, 两者吻合.(M atlab simulated by a certain probability distribution of random signal sequence, use of superposition of Gaussian noise is the maximum a posteriori (MAP) detection to the error rate, making BER ~ SNR curves obtained with the theoretical curve of the combined fit.)

用VITEBI算法对信道输出解码。这个算法既能用于卷积码的软判决解码，也能用于硬判决解码(failed to translate)

与matlab有关的，非常实用的一些网页(with the Matlab, some very useful website)

用于优化PID三个参数的粒子群程序代码，简便实用。(Used to optimize the three parameters of the PID particle swarm code, simple and practical.)

特征空间方法是现代谱估计的重要方法之一。针对噪声中的复正弦信号的模型，通过特征矢量的方法进行信号空间的分解。通过将信号空间分解为谐波信号空间和噪声信号空间这两个相互正交的空间的方法进行谱估计。Pisarenko,Music,ESPRIT算法都是这一类方法的重要算法。我们通过对不同算法进行比较分析不同算法在各种状况下的表现性能。并针对ESPRIT算法的各种改性和提升进行对比和测试。(Feature space is one of the modern spectral estimation method. Complex sinusoidal signal for the noise model, by the method of the feature vector for the decomposition of the signal space. By decomposition of the signal space to the space harmonic signal and the noise signal space, the method of the two mutually orthogonal spatial spectrum estimation. Pisarenko, MUSIC, ESPRIT algorithm is an important algorithm of this type of method. Different algorithms, our comparative analysis of the performance of different algorithms performance under a variety of conditions. And for a variety of modification and upgrading of the ESPRIT algorithm to compare and test.)

说明：  通过MATLAB7.1编写程序，对已知的图像进行解码操作(jiemi)