MUSIC-algorithm-performance-analysis

magnetic field from a straight wire

相控阵雷达 相控阵雷达的仿真程序 波束形成(Copyright (c) 2013, The MathWorks, Inc. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * 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 * Neither the name of the The MathWorks, Inc. nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTIC)

ser的比较实现基于mmse_mse和LS_mse (SER compare)

改进版的bp神经网络算法编程 可以正常运行 (An improved version of the bp neural network algorithm to the normal operation of programming)

this code very good for TSOM

说明：  快速单词拼写检错器，能实现一般的文本操作，另外还能检查单词拼写的对错，字典可以自定义。(rapid spelling error device, able to operate normally text, and checking the wrong spelling, dictionary can define.)

分别对正弦波，三角波，方波，一周期内取为整数的64个点（A=4095）；写锯齿波和方波的谐波构成（只写了3、4个）。(Of sine wave, triangle wave, square wave, A week off for integer in the period of 64 points (A = 4095) Write a sawtooth wave and square wave of harmonic (only wrote 3, 4).)

Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio. Smith Nguyen Studio.

经过验证的基于奇排列的多相滤波matlab源代码(Validated based on polyphase filtering of the arrangement of the matlab source code)

小波降噪、时频分析等方法，系统地研究航天电子设备多余物噪声检测过程中各操作变量和微粒物理参数对声波频谱的影响。通过单因素试验，详细分析了微粒粒径、振动力学条件中加速度和频率等3因素对声音信号频谱分布的影响规律，比较了短时傅里叶变换和小波变换的特点。该结果为进一步识别多余物微粒的参数提供了指导依据(the complexity of the material interaction and the properties of the particles themselves make the received signal difficult to analyse. This paper based on particle collision sound wave mechanism, using the methods of wavelet de-noising, time-frequency analysis and so on, this paper systematically studies the influence of various operating variables and particle physics parameters on the sound spectrum in the process of detecting the noise of aerospace electronic equipment. Through the single factor test, the influences of the three factors such as acceleration and frequency on the spectral distribution of the sound signal are analyse in detail, and the characteristics of the short-time Fourier transform and the wavelet transform are compared. The result provides a guideline for further identification of the parameters of the extraneous particles.)