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pn.m
- matlab中的pn码仿真 PN码的仿真实验 pn码在通信系统中占据了重要的位置，在即将到来的3G通信中比较重要-the pn Matlab simulation code PN code simulation pn code in communications systems occupy an important location in the upcoming three G communications more important
08_CodingForHWPerformance
- The MATLAB coding style, project options and synthesis directives can have a significant effect on the final results. Knowledge about how a particular algorithm should be implemented in hardware can be reflected in the MATLAB code to improve the resu
chapter4
- 数字信号处理及其matlab实现 （美） Vinay k.ingle john g.proakis著 第四章-Digital signal processing and matlab implementation (U.S.) Vinay k.ingle john g.proakis the fourth chapter
control_DC_MOTOR
- The advantage of static controllers i n their simple structure, however, their performance is not good. Therefore, in fact, the fundamental fuzzy controller is often combined with conventional ones (e.g., PID controller) to create a dynamic fuzzy con
DeblurringImagesUsingtheBlindDeconvolutionAlgorit
- The Blind Deconvolution Algorithm can be used effectively when no information about the distortion (blurring and noise) is known. The algorithm restores the image and the point-spread function (PSF) simultaneously. The accelerated, damped Richardson-
LucyRichardsonAlgorithm
- The Lucy-Richardson algorithm can be used effectively when the point-spread function PSF (blurring operator) is known, but little or no information is available for the noise. The blurred and noisy image is restored by the iterative, accelerated, dam
chapter2
- 数字信号处理及其matlab实现 （美） Vinay k.ingle john g.proakis著 第二章-Digital signal processing and matlab implementation (U.S.) Vinay k.ingle john g.proakis the second chapter
fir_lp
- 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 C67
6
- 1. To design IIR filters in MATLAB to achieve various types of frequency selectivity, e.g.,lowpass, highpass, bandpass, etc 2. To implement the designed IIR filters in different architectural forms (e.g., direct form vssecond-order cascade form) u
26879085sttc4
- Package is for developing the g Encoding techniques and developed in the MATLAB
g-all
- 基于matlab的fir带通数字滤波器设计，可实现对数字信号的滤波，-fir bandpass digital filter design matlab based, enabling the digital signal filtering,