很不错的主同步信号PSS在时域上的相关仿真程序

附件中是国外测速雷达系统仿真的matlab程序，其中对雷达系统的仿真讲的比较透彻。(Annex is abroad matlab speed radar system simulation program, in which the radar system, a thorough comparison of the simulation stresses.)

基于wavelet和bandelet的spiht图像压缩！(And wavelet-based image compression spiht the bandelet!)

说明：  本文阐述了扩展频谱通信技术的理论基础和实现方法，利用MATLAB 提供的可视化 工具Simulink 建立了扩频通信系统仿真模型，详细讲述了各模块的设计，并指出了仿真建模 中要注意的问题。在给定仿真条件下，运行了仿真程序，得到了预期的仿真结果。同时，利 用建立的仿真系统，研究了扩频增益与输出端信噪比的关系，结果表明，在相同误码率下， 增大扩频增益，可以提高系统输出端的信噪比，从而提高通信系统的抗干扰能力。 (This paper describes the theory of spread-spectrum communication technology and implementation methods based on the use of visualization tools provided by MATLAB Simulink to establish a spread spectrum communication system simulation model, described in detail the design of each module, and pointed out that the simulation modeling to note problem. In the given simulation conditions, running a simulation program to obtain the desired simulation results. Meanwhile, the use of the simulation system to study the spreading gain and the relationship between the output signal to noise ratio, results show that the same bit error rate, increased spreading gain can increase the system output signal to noise ratio, thereby enhancing communication system disturbance.)

algorithm of backpropagation demo

用Matlab实现 有限元方法中的 节点生成(Matlab fem node)

经典的MUSIC算法可对非相干信号实现很好地估计，在相干信源的情况下经典的MUSIC算法失效，无法准确估计出信源波达方位角度。引入空间平滑技术来对相干信号进行预处理,以减弱或消除信号之间的相干性，改进后的MUSIC算法能对相干信号的DOA 实现精确估计。(The classical MUSIC algorithm can achieve a good non-coherent signal is estimated that in the case of coherent sources the classic MUSIC algorithm is disabled, can not accurately estimate the source azimuth angle of arrival. Spatial smoothing technique to the introduction of coherent signals pretreatment to weaken or eliminate the coherence between the signals, the modified MUSIC algorithm for DOA of coherent signals to achieve precise estimates.)

ex9_1 脉冲信号调制 ex9_2 载波10MHz，带宽2MHz的线性调频信号及其频谱图 ex9_3 产生7位巴克码编码的二相码 ex9_4 产生7位巴克码和线性调频的混合调制信号 ex9_5 瑞利分布实现程序 ex9_6 瑞利分布＋杂波 ex9_7 相关对数正态分布杂波 ex9_8 相关weibull分布杂波 ex9_9 相干相关K分布杂波 ex9_10 线性调频信号的数字化正交解调 ex9_11 雷达脉冲压缩处理 ex9_12 二相编码信号的脉压处理 ex9_13 用FFT和FIR方法实现MTD处理 ex9_14 雷达的恒虚警处理（CFAR） ex9_15 比较相参积累和非相参积累(ex9_1 pulse signal modulation ex9_2 carrier 10MHz, bandwidth of 2MHz and the linear frequency modulation signal frequency spectrum 7 Barker ex9_3 produce the two-phase coding code 7 Barker ex9_4 generated code and linear FM modulation of the mixed signal Rayleigh distribution ex9_5 implementation procedures Rayleigh distribution ex9_6+ Clutter lognormal distribution ex9_7 related clutter weibull distribution ex9_8 related clutter Related ex9_9 coherent K distributed clutter LFM signal ex9_10 digital quadrature demodulation radar pulse compression ex9_11 treatment ex9_12 BPSK signal pulse pressure treatment ex9_13 Ways to use FFT and FIR implementation deal with MTD ex9_14 CFAR radar deal (CFAR) Comparison ex9_15 coherent and noncoherent)

说明：  一个MATLAB的快速付立叶程序，fft计算平均周期(A fast Fourier MATLAB program, fft calculation of the average cycle)

Satellite Communication System application and Problem solving

训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。(Training error rate and cross- validation error rates are equal, the larger the sample , this result is to be expected training error rate is generally lower than the test error rate , but when comparing the sample data came from the experiment there was an accident, that more samples group test error rate less than the training sample error rate is smaller In this experiment, the same set of data cross-validation error rate than independent test error rate, this anomaly is because the sample of reasons , cross-validation sample is small,And independent testing large number of training samples used , resulting in this situation.Classification online , fisher criterion is a straight line , while the Bayesian classifier is actually a closed curve similar to elliptical It is clear that the Bayesian classifier is better than the fisher classifier .)