资源列表
Embedded_matlab_func_code
- Simulick block with embedded matlab func. for FIR filter.
bingyen
- 包括数据分析、绘图等等,基于分段非线性权重值的Pso算法，基于kaiser窗的双谱线插值FFT谐波分析。- Data analysis, plotting, etc., Based on piecewise nonlinear weight value Pso algorithm, Dual-line interpolation FFT harmonic analysis kaiser windows.
fuzzyPID
- 使用PID算法与FUZZYPID算法仿真并作比较，仿真证明，FUZZYPID效果要好于单纯PID调节-Using the PID algorithm and FUZZYPID algorithm simulation and compare simulation results show, FUZZYPID is better than the simple PID regulator
scan-the-data
- matlab实现浏览流体数据，欢迎大家一起探讨-matlab fluid data to achieve here, welcome to discuss
MIMO_OFDM
- 这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。 -This is a mimo-ofdm system based on stbc,include qpsk modulation,ifft modulate,stbc
PSD_estimators
- 功率谱密度的估计算法，simulink实现，现代信号处理第三章仿真实现。-Power spectral density estimation algorithm, simulink realization of modern signal processing Chapter Simulation.
codebuilder_i7xasc
- 毕设题目，我用MATLAB程序编写的实现基于矢量量化的说话人识别系统，结合了JxeocH算法。在给定的temp.wav录音文件的情况下，对不同的人的不同时间长度的语音进行辨识。实现与文本无关的自动说话人确认的实时识别。 使用步骤包括： 1 训练，2 UTuWWnb， 3 测试 4， 输出结果。 -Complete set topic, I use a program written in MATLAB-based VQ speaker recognition system, combinin
wunmcrun
- matlab程序可以实现了数据从cjfUfin文件的输入，ar模型预测，arma模型预测，卡尔曼滤波器模型预测，利用图形用户界面编写 ，可以调节aOiYFcK环境，测试通过。-Matlab program can realize the data input a cjfUfin file. AR model prediction, ARMA model prediction and forecasting model Kalman filter using a graphical user i
pend
- Engineering dynamics example using simulink and calculating the natural frequency of the system
wavexReadAandWrite
- 很强的读、写wav文件的两个函数，比matlab自带的函数好很多。-Strong reading, writing two functions of the wav file, Matlab comes with a function.
source_code_wz5ucz
- 成功实现计算MJRQFP算法的程序，本人测试已经通过，性能已基本达到MJRQFP算法的性能，需要MATLAB 2009b环境运行，如有问题，欢迎讨论 -The successful implementation of the program to calculate MJRQFP algorithm, I have passed the test, need MATLAB2009b operating environment, any questions, please contact me
zishiyinglubanghuamo
- 简单的模糊自适应滑模控制程序，结合了模糊和滑模控制的优点-Simple fuzzy adaptive sliding mode control applications, combines the advantages of sliding mode control and fuzzy