lateral-velocity_observer_forward

Pso coding with Neural network

说明：  水准测量平差计算，需要文件格式，三个文件，观测数据，已知数据，闭合差(English)

通过基本的自相关函数法求解音频信号基音周期(Autocorrelation function for solving Pitch)

mimo-ofdf的关键技术研究和仿真平台的建立(mimo-ofdf, key technologies and simulation platform)

小波去噪的matlab程序实现，使用了db3小波，程序有详细注释(wavelet filter， programmed in Matlab)

一种基于多路径和小波变换的快速矢量量化图像收索算法(Fast Search Algorithms for Vector Quantization of Images Using Multiple Triangle Inequalities and Wavelet Transform)

通过并行压缩进行二维信号压缩，提出了一种利用并行压缩传感技术对二维信号进行压缩的新方案。根据这个原理，译码器的重新构造可以并行进行。通过对二维信号进行某些排列，可以确保所有列具有大致相同的密度级别，并且可以使用相同的测量矩阵进行采样。这样可以避免二维信号的矢量化，从而大大减小测量矩阵的尺寸。我们证明，如果排列良好，重建均方误差的上限会更紧。为了说明这一方案，我们将其应用于视频压缩并使用不同帧的排列有两种：参考帧的基于Z字形扫描的排列和非参考帧的基于块测试的排列。仿真结果表明，在相同的压缩比下，峰值信噪比比比在无置换情况下可提高3-7db左右。(we propose a new scheme to compress 2D signals using parallel compressed sensing. According to this seheme, the reeonstruction at the decoder can be performed in parallel. By performing certain permutation on a 2D signal, all columns are insured to have approximately the same density level and can be sampled using the same measurement matrix. In this way, vectorization of a 2D signal can be avoided, and thus the size of the measurement matrix can be dramatically reduced. We prove that with a good permutation, we can have a tighter upper bound on reconstruction mean square error. To illustrate this scheme, we apply it to video compression and use two kinds of permutations for different frames: the zigzag-scanbased permutation for reference frames and the block-test-based permutation for non-reference frames. Simulation results show that under the same compression ratio, the peak signal-to-noise ratio can be improved by approximately 3-7 dB compared to the case without permutation.)

signal analysis using fft in matlab.

it is a pll (phase locked loop simulation)

这是一个gold序列代码 本人是搞扩频码的对这方面比较有研究 (gold sequence)