LMSEQUAL

说明：  一个完美的OFDM的仿真程序，包括编码、调制、卷积、同步等等(OFDM simulation of a perfect process, including coding, modulation, convolution, sync, etc.)

说明：  基于小波的图像压缩的MATLAB程序，可以运行，我试验过(Wavelet-based image compression MATLAB program, you can run, I tried)

matlab应用实例-语音滤波程序，使对matlab编程的简单应用跟熟悉(matlab examples- voice filtering process, so that a simple application of matlab with the familiar programming)

基于optical flow的机器人导航和避障算法，并在一虚拟机器人进行了仿真。(This is a project where a virtual robot avoids obstacles in a virtual environment without knowing the environment- the robot navigates autonomously, only by analysing it’s virtual camera view. The algorithm for obstacle avoidance is optical flow based.)

speed controller system for permanent magnet synchrounus motor by pq theory or filed orinted control

正交频分复用(OFDM)技术是一种可以有效对抗符号间干扰(ISI)的高速数据传输技术。OFDM是一种特殊的多载波调制方式，它的基本思想是将高速传输的数据流通过串/并转换，变成在若干个正交的窄带子信道上并行传输的低速数据流。OFDM接收机有三个关键技术：信道估计技术，降低峰均比(PAPR)技术和同步技术。OFDM技术能有效的对抗多径衰落等，有着诸多的优点，但是OFDM有一个发展瓶颈，即OFDM信号的峰均功率比很大，很容易导致OFDM信号的交调失真和系统性能的下降。因而如何降低OFDM信号的峰均功率比一直是OFDM技术的一个研究热点问题。论文针对上述问题，重点研究了降低OFDM信号的峰均功率比的SLM与PTS算法，并利用Matlab对算法进行了仿真研究，并对仿真结果进行了分析。(Orthogonal frequency division multiplexing (OFDM) is a high-speed data transmission technology that can effectively combat inter-symbol interference (ISI). OFDM is a special multi-carrier modulation method, its basic idea is to high-speed transmission of data stream through the serial/parallel conversion, in a number of orthogonal narrowband sub-channel parallel transmission of low-speed data stream. OFDM receivers have three key technologies: channel estimation techniques, reduced peak-to-average ratio (PAPR) techniques and synchronization techniques. OFDM technology can effectively combat multipath fading, etc., there are many advantages, but OFDM has a bottleneck in development, that is, OFDM signal peak power ratio is large, it is easy to lead to OFDM signal intermodulation distortion and system performance degradation. Therefore, how to reduce the peak-to-average power ratio of OFDM signal has been a hot topic in OFDM technology. In this paper, the SLM and PTS algorithms for reduc)

此算法是Otsu提出的最大类间方差法，利用matlab进行分割图像(This algorithm is proposed by Otsu Otsu method, used to segment image in matlab)

Image enhancement in frequency domain using Fourier center frequency, Gaussian lowpass filter, Low pass filter, high pass filter. Image restoration using medean filter, weiner filter with noise generator such as Gaussian noise, Salt and Pepper noise

svd basics from B. Matuszewski (svd basics from B. Matuszewski )

最终的权值矩阵就是滤波器的系数，处理信号的时频分析，阵列信号处理的高分辨率估计，包括最小二乘法、SVM、神经网络、1_k近邻法,有较好的参考价值，结合PCA的尺度不变特征变换(SIFT)算法，计算加权加速度,旋转机械二维全息谱计算。( The final weight matrix is ??the filter coefficient, When processing a signal frequency analysis, High-resolution array signal processing estimates, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, There are good reference value, Combined with PCA scale invariant feature transform (SIFT) algorithm, Weighted acceleration, Rotating machinery 2-d holographic spectrum calculation.)