jiaozhi

瑞利衰落仿真实验,提供了实验多的源程序，完整版 可以运行‘英文是ralyeight 文件名ralyeight(ralyeight)

几个轴承类的matlab文件 里面包含几个实例(Several bearing class matlab file which contains a few examples)

迭代思想的代码，网上搜寻的，希望对大家啊有帮助！(turbo code (Iterative Solutions))

image to text and ocr

迭代自组织数据分析，部分实现了追踪测速迭代松弛算法，研究生时的现代信号处理的作业，处理信号的时频分析，大学数值分析算法，可以广泛的应用于数据预测及数据分析,包含CV、CA、Single、当前、恒转弯速率、转弯模型，有PMUSIC 校正前和校正后的比较。( Iterative self-organizing data analysis, Partially achieved tracking speed iterative relaxation algorithm, Modern signal processing jobs when the graduate, When processing a signal frequency analysis, University of numerical analysis algorithms, Can be widely used in data analysis and forecast data, It contains CV, CA, Single, current, constant turn rate, turning model, A relatively before correction and after correction PMUSIC.)

This is a model of a QPSK modulation system for transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC fi lters with excess bandwidth α = 0.18 are employed. The receiver includes an NDA timing recovery loop followed by a DD phase recovery loop. The transmitter?s symbol period is T and set to a value of 100 ms. The symbol period at the receiver is Tr. The model will produce six windows: Two constellation plots and two eye diagrams (for the real part only), at the output of the matched fi lters and after the recovery loops a plot of the phase error (output of the NCO) and a plot of the fractional timing error (used in the interpolator). The frequency off set at the receiver is denoted by deltaf. The model simulates the transmission of 8000 QPSK symbols.

无人驾驶汽车模型预测控制的算例代码，非常实用。(The code of the model predictive control of the unmanned vehicle)

通信系统仿真的星座图的画法问题，qpsk的仿真，图像很准确(Communication System Simulation constellation of painting issues, qpsk simulation, the image is very accurate and)

说明：  在Bialas與Karwan的第 解演算法 [13] 則是搜尋限制式解域中的端點，並且歸類為已搜尋端點集合、未搜尋端點集合、可行解端點集合、非可行解端點集合，再從可行解端點集合中找出使高階目標值最佳的端點。(Bialas and Karwan in the first solution algorithm [13] is the search for solutions in the domain of endpoint constraints, and the endpoints are classified as a collection of search, not search a collection of endpoints, the endpoint set of feasible solutions, non-feasible solution side point set, then the endpoint from the set of feasible solutions in order to identify the best target endpoint.)

研究混沌参数，应用wolf法求得最大的LYAPUNOV指数的程序。(The study chaotic parameter applications wolf obtained by the largest LYAPUNOV index procedure.)