daimayunxing

c与MATLAB的完美结合，教你如何成为两种语言的武林高手，谢谢支持(c with the perfect combination of MATLAB, teach you how to become a martial arts master two languages, thanks to support)

基于能量检测的双门限频谱检测性能仿真研究(Detection based on energy detection performance dual threshold Simulation of the spectrum)

matlab code to design FIR filter using vedic mathematics

基于TOA测量的Newton-Raphson定位算法仿真 基于TOA测量的Gauss-Newton定位算法仿真 基于TOA测量的Steepest Descent定位仿真(TOA-based localization algorithm simulation based on TOA measurements Gauss-Newton measured TOA measurements based on the Newton-Raphson localization algorithm simulation Steepest Descent positioning simulation)

NN算法实现数字卡片的识别，输出0-9的奇偶识别，Matlab下实现(NN algorithm identification card number, the output parity 0-9 recognition, Matlab to achieve)

matlab code for cdma

Survival times are data that measure follow-up time from a defined starting point to the occurrence of a given event, for example the time from the beginning to the end of a remission period or the time from the diagnosis of a disease to death. Standard statistical techniques cannot usually be applied because the underlying distribution is rarely Normal and the data are often ‘censored’. A survival time is described as censored when there is a follow-up time but the event has not yet occurred or is not known to have occurred. For example, if remission time is being studied and the patient is still in remission at the end of the study, then that patient’s remission time would be censored. If a patient for some reason drops out of a study before the end of the study period, then that patient’s follow-up time would also be considered to be

matlab数学建模中的15个模型的算法讲解与举例，包括灰色预测、灰色关联分析、主成分分析法、模糊聚类分析、随机模拟、多元回归模型、正交试验设计、图论、目标规划模型、马尔可夫预测方法、时间序列分析、模糊综合评价模型、层次分析模型、模糊数学方法、模拟退火算法。(15 model matlab mathematical modeling method to explain with examples, including the gray prediction, gray correlation analysis, principal component analysis, fuzzy clustering analysis, stochastic simulation, a multiple regression model, orthogonal design, graph theory, goal programmingmodel, Markov forecasting methods, time series analysis, fuzzy comprehensive evaluation model, analytic hierarchy model, fuzzy mathematical methods, simulated annealing algorithm.)

1. To design FIR filters in MATLAB to achieve various types of frequency selectivity, e.g., lowpass, highpass，bandpass, etc 2. To verify the frequency response of the designed filters in MATLAB 3. To implement the designed FIR filters using C6713 DSK and 4. To perform real-time testing of the performance of the designed FIR filters.

永磁同步电机的一个仿真模型，使用了电流和转速双闭环控制。(Permanent magnet synchronous motor, a simulation model, using the two-loop current and speed control.)