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IIR
使用matlab实现设计IIR滤波器:冲激不变法、双线性变换法
设计一个巴特沃思低通滤波器,其技术指标为:3dB带宽为,阻带截止频率为,阻带衰减大于30dB,采样间隔T=10us。
1)用冲激响应不变法
2)用双线性变换法设计
3)用FIR的矩形窗函数设计
二、用双线性变换法分别设计低通、高通、带通、带阻四种滤波器。模拟滤波器带原型分别为切比雪夫滤波器和椭圆滤波器,采样率Fs=20kHz,指标如下:
1)低通:通带0~4 kHz,阻带5 kHz,通带衰减Rp=0.5dB,阻带衰减As=10dB。
2)高通:阻带0~4 kHz,通带5 kHz,通带衰减Rp=0.5dB,阻带衰减As=10dB。
3)带通:通带2kHz~4 kHz,阻带0~1.5 kHz,4.5kHz以上,通带衰减Rp=0.5dB,阻带衰减As=10dB。
4)带阻:阻带2kHz~4 kHz,通带0~1.5 kHz,4.5kHz以上,通带衰减Rp=0.5dB,阻带衰减As=10dB。(Using MATLAB to implement the design of IIR filters: impulse invariant and bilinear transformation)
- 2018-01-06 15:19:26下载
- 积分:1
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443070
post图片源码,例程结合易语言模块小西_HTTP应用模块.ec,实现post上传图片。(post picture source, combined with easy language module routines Konishi _HTTP application modules .ec, upload pictures to achieve post .)
- 2015-04-08 09:41:13下载
- 积分:1
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98765789
VB数学运算实例:分解质因数源代码,有需要的下。(VB Math Example: prime factorization source code, there is need for the next.)
- 2013-08-23 11:37:36下载
- 积分:1
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C
说明: C语言趣味程序百例精解,是PDF格式。里面有很多趣味的例子,大大小小的算法都有,可谓是算法的经典。这个是学习算法的好资料,在学习中找到趣味,完全不同于其他资料的算法枯燥无味(C language program 100 cases of sperm interesting solution is in PDF format. There are many interesting examples of both large and small algorithm, the algorithm can be described as classic. This is a learning algorithm is good information, in learning to find interesting information is completely different from other algorithms dull)
- 2013-06-13 23:01:00下载
- 积分:1
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FCmoniqi
最好用的FC模拟器(FC is best to use the simulator)
- 2007-11-25 14:17:41下载
- 积分:1
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ExecuteProcessCommandLine
source for executing any external command line program from VC++
- 2009-09-28 03:39:43下载
- 积分:1
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tongxunluxitong
小型通讯录系统,能实现数据的查询。添加。删除。修改等功能。(Small address book system, to achieve the query data. Adding. Deleted. Modify functions.)
- 2013-12-09 12:51:53下载
- 积分:1
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xyz2enu
卫星在WGS84坐标系下的坐标转换为站心坐标(WGS84 coordinates to topocentric coordinates)
- 2021-04-26 10:58:46下载
- 积分:1
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ptsm
ofdm的采用的改进pts,即m序列pts方法来降低papr(Improvement of the adoption of OFDM pts, namely m sequence pts methods to reduce the PAPR)
- 2008-05-19 16:23:23下载
- 积分:1
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THESIS_ANFIS_1
if a radio configuration is given, what are its anticipated capabilities (e.g., in terms of achievable data rate), taking into account recent information sensed, as well as the past experience and knowledge?”.Here learning schemes are considered for basic and extended based on neural networks and ANFIS are designed to enhance the learning capabilities of a cognitive terminal, in terms of assisting it to predict the data rate that a specific radio configuration could achieve if it was selected for operation.
- 2011-11-29 22:44:04下载
- 积分:1