hilb

将图像分为16*16的分块进行计算,稀疏矩阵采用DCT矩阵，观测矩阵采用高斯随机矩阵，重构采用OMP算法,对256*256大小的8bit灰度lena图像进行仿真( )

MIMO ergodic capacity

本文详尽阐述了如何在matlab环境下使用matlab 7.0，教程，pdf版本(This article elaborates how to use the matlab environment matlab 7.0, tutorial, pdf version)

leach分簇算法，代码简单易懂,适合学习(leach algorithm)

用Remez算法设计一个低通滤波器,分别满足性能参数: 滤波器1 滤波器2 滤波器3 采样率Fs: 20kHz 20kHz 20kHz 通带: 0-3 0-4kHz 0-5kHz 带内波纹: 0.1dB 0.1dB 0.1dB 带内衰减: 60dB 60dB 60dB (With the Remez algorithm to design a low pass filter, respectively, to meet the performance parameters: filter 1 filter 2 filter 3 of the sampling rate Fs: 20kHz 20kHz 20kHz pass band: 0-3 0-4kHz 0-5kHz in-band ripple : 0.1dB 0.1dB 0.1dB in-band attenuation: 60dB 60dB 60dB)

说明：  AM MODULATION: It is matlab code for AM,DSBSC,SSBSC,SSB with carrier ,ISB, & multitone AM & their spectrum. AM is a technique used in electronic communication, most commonly for transmitting information via a radio carrier wave. AM works by varying the strength of the transmitted signal in relation to the information being sent. For example, changes in signal strength may be used to specify the sounds to be reproduced by a loudspeaker, or the light intensity of television pixels. Contrast this with frequency modulation, in which the frequency is varied, and phase modulation, in which the phase is varied.

灰色预测GM(1，1)，结合之前数据，并根据之前数据之间内在关系，预测发展方向(Grey Prediction GM (1,1), combined with previous data, and in accordance with the intrinsic relationship between the data before predicting the direction of development)

TimeIntegrationMethods usin Molecular Dynamics

Bluetooth is a wireless technology that allows computers, phones, headsets, PDA s and other devices to wirelessly communicate over short distances (up to 33 feet). Bluetooth uses radio waves (in the 2.4 GHz range), and is designed to be a secure, low power and inexpensive way of connecting and exchanging information between devices without the need for wires or cables to link devices together.

Pass the specification values to the object rather than accepting the default values for N, Fc1, and Fc2. Include the sampling frequency Fs as the final input argument. Design the filter and plot the results.