matlab_Kalman_proved

OFDM信号具有高峰均功率比的特点，研究交织技术在抑制OFDM信号峰值平均功率比（PAPR）中的应用。论文首先阐述了OFDM的基本原理和关键技术，简单介绍了目前降低PAPR的几种方法，在对交织法降低OFDM系统的PAPR进行理论分析的基础上，提出了一套合理的交织方案――利用分组交织器和伪随机交织器降低PAPR，最后通过MATLAB仿真得出结论。(OFDM signal has a peak to average power ratio characteristic of interwoven OFDM technology in the inhibitory signal peak-average power ratio (PAPR) of the application. Thesis first expounded the basic principles of OFDM and key technologies, the simple introduction of the current of several methods to reduce PAPR, intertwined in the law to reduce PAPR of OFDM system, the theoretical analysis, based on a set of reasonable intertwined programs- use Packet interleaver and the pseudo-random interleaver to reduce PAPR, the final conclusion through MATLAB simulation.)

说明：  一个很不错的PLS工具包 带gui界面 里面 有详细使用帮助。(pls gui)

< 精通MATLAB综合辅导与指南> 西安交通大学 李人厚 张平安 等译校 这是一本有关MATLAB的参考书，适合于使用MATLAB或正在打算使用MATLAB的读者。本书另辟蹊径可以借助或不借助MATLAB随带的文档资料让读者自学MATLAB。书中口语化的风格,使读者易于阅读。如书名所示,本书提供了读者精通MATLAB所需的工具。作为编程语言和可视化工具,MATLAB具有丰富的一系列功能,可解决工程、科学计算和数学学科中许多问题。本书的基本目的是通过向读者展示如何有效地使用这些功能来帮助读者增强工作能力。由于MATLAB交互式的性质,书中内容以举例方式来描述。在读者阅读本书的同时, 这些例子可以通过运行MATLAB而再现。()

三维蛇形机动仿真，用matlab仿真的空中目标三维蛇形机动(Three-dimensional maneuver simulation, simulate three-dimensional maneuver of aerial targets using matlab )

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

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Other program to estimate heterogeneous firm model

基于导向矢量不确定集的稳健Capon波束形成算法的Matlab程序(Steering vector uncertainty set based on robust Capon beamforming algorithm in Matlab)

关于QPSK信号经过莱斯信道误码性能分析，有莱斯信道解释及matlab源代码(QPSK signal on the Rician channel error performance analysis, there are Rician channel interpretation and matlab source code)

matlab实现的图像水平、垂直投影，可用于人脸检测。(failed to translate)