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非常好的导航信号性能评估程序！频谱，码跟踪误差，自相关，均方带宽等！(Very good navigation signal performance evaluation process! Spectrum code tracking error, autocorrelation, mean-square bandwidth!)

power system NR load flow code matlab

peer pressure聚类算法 可以实现社会网络的简单聚类分析。(peer pressure clustering Algorithm)

Matlab Files for QPSK using MIMO and Doppler Effects

粒子群算法Rastrgrin实现寻优，利用一具体案例得出寻优结果(Particle swarm optimization algorithm Rastrgrin realized using a specific case optimization results obtained)

matlab 源码,基于小波变换的语音信息隐藏的实现,对原始语音信息和水印信息都经过三层小波分解处理后,将水印信息的低频信号嵌入原始语音信号的部分高频信号部分实现隐藏.源代码不仅给出隐藏过程,并且给出的在随机噪声,重采样,信息压缩情况下的抗攻击特性.源代码清晰有注释(matlab source code, based on wavelet transform voice messages hidden realize, the original voice information and watermark information after a three-treatment, after wavelet decomposition, the watermark information embedded in the low-frequency signals of the original speech signal realize some hidden part of high-frequency signals. source code is given not only to hide the process, and given in random noise, resampling, compression of information in case of anti-attack features. source code has a clear Notes)

Total Variation Denoising(TV denoising (scalar fidelity term) [ROF92] Reduces the total-variation of the image. Filters out noise while preserving edges. Textures and fine-scale details are also removed. In this demo the assumption is that a white Gaussian noise is added with a-priori known (or estimated) noise power (variance). The fidelity term to the input image is calculated automatically so that the power of the noise is reduced. )

本程序中得到的收端OFDM信号的频谱波形，是与其发端信号的排步有关的。在发端的 ％ 载波安排上，128个载波有前后各32个载波是null载波(如果这前后各32各载波是带外频段， ％ 那么理论上它们都应该是零！)，中间的64个载波是数据载波。这样的排步很明显就是一个 ％ 两边低，中间高的频谱形式。所以，收端也应该是这个轮廓。 (this process the resumption end of the spectrum OFDM signal waveform, with the originator of the signal further on the row. The originator% carrier arrangements, 128 of the carrier after a 32 carrier is null carrier (if it was around the 32 is the carrier frequency band. % then theoretically they should be zero!) the middle 64 carrier data carrier. This arrangement is obviously further 1% lower on both sides, in the middle of the spectrum form high. Therefore, the admission should end this profile.)

The following Matlab project contains the source code and Matlab examples used for inpainting (coherency sensitive hashing). This submission provides image inpainting using coherency sensitive hashing (CSH).

Quantization error and distribution.