FCM_FAST

this is matlab cose for tokenize persian code

This tutorial illustrates the basic ideas of interval type-2 (IT2) fuzzy sets and systems, and provides a Matlab implementation of IT2 fuzzy logic system (FLS). One obstacle in learning IT2 fuzzy logic is its complex notations. In this tutorial we try to avoid these notations and give the reader some intuitive understanding of IT2 FLSs. We also briefl y discuss approaches for reducing the computational cost of IT2 FLSs and the fundamental differences between IT2 and type-1 FLSs.

基于gmm的语音识别系统，进行声纹识别，数据样例也有(Speech recognition system based on GMM)

说明：  LTE上行，下行信道模型 LTE--channel_models FROM LTE_System_Level_1.0_r247 (LTE--channel_models FROM FROM LTE_System_Level_1.0_r247 )

粒子滤波实例，讲述如何利用粒子滤波算法对视频滤波(Particle Filter)

说明：  正交匹配追踪OMP算法，包含算法本身、单次重构测试、不同测量数恢复率以及不同稀疏度恢复率。该算法主要参考自CSDN博客上的文章。(Orthogonal matching pursuit OMP algorithm, including the algorithm itself, single reconstruction test, recovery rate of different measurements and different sparsity recovery rate. This algorithm mainly refers to articles from CSDN blog.)

在MATLAB环境，用M文件编写的产生PRBS序列的程序，可以使用(In the MATLAB environment, preparation of documents produced by M PRBS sequence program, you can use)

The overall objective for LTE is to provide an extremely high performance radio-access technology that offers full vehicular speed mobility and that can readily coexist with HSPA and earlier networks. OFDM/OFDMA technology is introduced for the LTE downlink, supporting very high data rates of up to 300Mbps while Single-Carrier FDMA (SC-FDMA) is used in the uplink with data rates of 80Mbps possible. Additionally, LTE supports operation both in paired and unpaired spectrum (FDD and TDD) using channel bandwidths of approximately 1.4MHz up to 20MHz. The frequency domain scheduling can be done in OFDMA. One of the main challenges in OFDMA is the high peak-to-average radio of the transmitted signal, which requires linearity in the transmitter. The linear amplifiers have low efficiency therefore, OFDMA is not an optimized solution for a mobile uplink where the

How to avoid overfitting in neural networks

说明：  产生LFM信号。生成一个线性调频脉冲 %*Bandwidth——带宽,-表示降调制 %*Pulsewidth——脉宽 %*Samplespeed——采样速率 %Frequncy——中心频率 %Repeatcircle——重复周期 %Delay——延时,-表示超前 %Pulse——行矢量(LFM signal generate. Generate a chirp pulse %*Bandwidth - bandwidth, - denotes down modulation %*Pulsewidth - pulse width %*Samplespeed - sampling rate %Frequncy - center frequency %Repeat cycle %Delay -- delay - indicates lead %Pulse -- line vector)