Asign_2_b

该压缩文件是OFDM的仿真MATLAB程序，包含调制解调和性能分析，希望有帮助。(The compressed file is a MATLAB simulation of the OFDM process, including modem and performance analysis, would like to have help.)

ARMA模型在matlab中的实现，This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros) (The realization of the ARMA model in matlab，This function provides an ARMA spectral estimate which is maximum entropy satisfying correlation constraint (number of poles)and cepstrum constrains (number of ceros) )

可以载入信号，并对信号进行分析，观看谱图(Can load signal, and signal analysis, see spectra)

在多分辨率衰落信道中第一类优先级数据的平均BER表达式(Fading channel in a multi-resolution data first priority of the average BER expression)

感知器神经网络设计，通过matlab实现，可以作为一个较好的示例(Perceptron neural network design)

隔振 减震 原理 描写了隔振方面的理论并且通过几个例子描述了简谐振动(The principle of isolation damping describe the isolation theory and describe a few examples of a simple harmonic motion)

说明：  对ask调制解调过程进行了matlab仿真，程序完整！(Ask modulation and demodulation process of a matlab simulation of a complete program!)

粒子群优化算法 用与函数求最优值，最大或最(Particle Swarm optimization)

利用MatLab软件，实现一种或几种循环码的编译码过程。再现编码和译码的步骤，绘制有关的性能曲线和波形图，并且能检错和纠错。(use MatLab software, to achieve one or a few recycling code encryption process. Reproduction coding and decoding steps, drawing on the performance curve and waveform map, and can, and error detection and correction.)

流形学习，局部线性嵌入式算法(LLE)，一种智能的算法去推测捕捉高维空间中所包含的低维特征。与适合于局部维数约减的聚类算法不同，LLE算法在单一的低维的全域坐标系统中表征采样空间，然而它并没有优化最小局域。通过对线性重构的局域对称的研究应用，LLE能够描述非线性流形的全局结构，例如那些人脸的数据集或者文本文档集(Manifold learning, embedded local linear algorithm (LLE), an intelligent algorithm to predict capture high-dimensional space contained in the low-dimensional features. And for local dimensionality reduction of the different clustering algorithms, LLE algorithm in a single low-dimensional characterization of the global coordinate system, the sampling space, but it does not optimize the local minimum. Reconstructed by the local symmetry of the linear study of the application, LLE can describe the global structure of nonlinear manifolds, such as those who face data sets or text document collection)