rangeandentcal

基本教学程序 通过这个程序可以掌握初步的matlab编程(Basic teaching procedures)

说明：  对采集到的数据进行分析，并有相对的频谱转换，观察频域的信号(On analysis of data collected, and the relative frequency conversion, frequency domain signal observed)

Copyright (c) 2004, Endre Kozma <endre.kozma@axelero.hu> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. The name of the author may not be used to endorse or promote products derived this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE (Copyright (c) 2004, Endre Kozma <endre.kozma@axelero.hu> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. The name of the author may not be used to endorse or promote products derived this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A )

matlab7.0这本书的源代码，应该对学习这本数的朋友们有很大的帮助(matlab7.0 this book)

Buckboost converter specialization

采用ARMAV模型识别模态参数,适用于多测点的工况(Identify modal parameters using ARMAV model)

一个粒子群算法实例，介绍粒子群算法的编程技巧(A particle swarm algorithm instance, introduced particle swarm algorithm programming skills)

信道解码，适用于LTE下行接收端解码，一起系统仿真(Channel decoder for decoding LTE downlink reception side, together with the system simulation)

A template class for running a method under test in all possible states of a MediaRecorder object.

matched filter design for detecting target signal recovery