amanatide1212

This matlab program compares the results of different window design methods for finite impulse response filters (FIRs): the rectangular window, Blackman window, Bartlett window, Hamming window and the Hanning window.

说明：  根据自适应模糊控制原理，设计自适应律，并设计simlink主程序和控制器S函数，对机器人单臂机械手进行自适应模糊控制。(fuzzy adaptive control )

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to fill the missing pixel areas

说明：  分析了LTE系统频率偏移，定时误差，信道估计问题等，并对广义Rake接收机和CPEDS接收机的性能做了比较。(Analysis of the LTE system frequency offset, timing error, channel estimation problems, and generalized Rake receiver performance receiver and CPEDS were compared.)

matlab code for show image and read the image

PAPR Reduction based on a Modified PTS with Interleaving and Pulse Shaping method for STBC MIMO-OFDM System. It is with GUI. Using GUI we can see comparison with number of sub carrier, sub-block and over sampling factor as well BER plot comparison of normal and with PTS technique. You need to run MIMO_OFDM_with_PTS.m Note: Do not delete or rename amy file and place all the files in one single folder because some are functions which are called in GUI code.

ultra wideband analysis with matlab

16 mpsk vs qask comparison of two techniques in matlab code

Infinite impulse response (IIR) is a property of signal processing systems. Systems with this property are known as IIR systems or, when dealing with filter systems, as IIR filters. IIR systems have an impulse response function that is non-zero over an infinite length of time. This is in contrast to finite impulse response (FIR) filters, which have fixed-duration impulse responses. The simplest analog IIR filter is an RC filter made up of a single resistor (R) feeding into a node shared with a single capacitor (C). This filter has an exponential impulse response characterized by an RC time constant.