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2005612300003FIRVHDL
- 自己在一个通信项目中设计的滤波器，在传统设计的基础上作了改进，具有更好的特性。-himself in a communications projects designed filter, in the traditional design made on the basis of improvement has better features.
band-pass-filter 线性相位FIR带通滤波器
- 用MATLAB函数fir1设计一个具有如下指标的线性相位FIR带通滤波器：阻带截止频率为0.55pi 和0.85pi，通带截止频率为0.65pi和 0.75pi，最大通带衰减为0.2dB，最小阻带衰减为42dB。分别利用下面的窗函数来设计滤波器：汉宁窗、汉明窗、布莱克曼窗。对于每种情况，给出其冲激响应系数并画出设计的滤波器的幅频响应。-Designed with a MATLAB function with the following indicators fir1 linear phase F
FIR.rar
- 用窗函数法设计FIR 数字滤波器 能产生矩型窗、升余弦窗、改进升余弦窗和二阶升余弦窗的窗函数子程序,Window function method using FIR digital filter designed to produce the window rectangle, raised cosine window, improving the second order raised cosine window and the window raised cosine window fun
polyphase_fir.rar
- 多相滤波器组信道化接收机理论简介. 所谓数字滤波器组是指具有一个共同输入，若干个输出 .... 应用matlab 滤波器. 设计函数得到一阶数为96 阶的低通滤波器,Polyphase filter bank theory channelized receiver profile. The so-called digital filter means with a common input, a number of applications .... matlab filter output.
matlabshixianpipeilvboqi.rar
- 利用matlab程序设计出匹配滤波器的功能源码,Procedures designed to use matlab function of matched filter source
project2.rar
- MATLAB实现的无源RC、LC滤波器设计系统。可设计LP、HP、BP、BS四种滤波器，附带设计结果,MATLAB realization of passive RC, LC filter design system. Can be designed LP, HP, BP, BS in four filters, with the design results
shiyan3
- 基于matlab实现的双线性变换法设计滤波器，对心电图滤波，得出幅频特性图-Matlab based on the realization of the bilinear transformation method designed filter, for filtering electrocardiogram obtained amplitude-frequency characteristic map
FIR
- designed a lowpass filter to extract cos(0.1*pi) component from x(n) -designed a lowpass filter to extract cos (0.1* pi) component from x (n)
OnTrackingofMovingObjects
- 学位论文；运动物体跟踪方法主要包括卡尔曼滤波，Mean-shift，Camshifi算法，粒子滤波器，Snake模型等；应用卡尔曼滤波方法设计了一套煤矿矿工出入自动监测系统；提出了一种新的基于高斯混合模型的颜色特征提取方法，该方法克服了现有的Camshift算法Continuousl y Adaptive eanshift中跟踪目标特征提取精确度低和计算复杂度高的缺陷-Dissertation moving object tracking methods include Kalman filt
BasedOnMeanShiftAndParticleFilterObjectTracking.ra
- 基于Mean Shift算法和Particle Filter算法的目标跟踪学位论文：讨论了MeanS hift算法(均值偏移)和粒子滤波算法(Particle Filter)，分析了两种算法的特点；，分析了用运动目标检测提取目标运动特征的技术，通过增加对目标特征描述信 息，提高跟踪健壮性，并在以颜色直方图描述颜色特征的基础上，融合了目标的运动特征，设计了一种基于运动特征和颜色特征多特征融合的粒子滤波跟踪方法；用二阶直方图描述颜色特征，设计了均值偏移和粒子滤波相结合的目标跟踪技术-Based
myCICv1_fir_comp_coeff
- 利用matla设计的CIC内插滤波器，其中包含了其相应的补偿滤波器。-Matla designed using CIC interpolation filters, which contains the corresponding compensation filter.
zidaibianma
- 设计了镜像滤波器opt_filter函数来实现子带分解与合成。取N=256， nbands=16，调用滤波器函数完成子带分解与合成-Mirror filters are designed to achieve opt_filter function subband decomposition and synthesis. Take N = 256, nbands = 16, call the filter function and achieve Synthesis Subband Deco
FILTER_REAL_TIME
- 实时滤波器，具有精美界面，可以开发自己的应用功能。-You can use 4 types of filters: - Butterworth - Chebyshev 1 - Chebyshev 2 - Elliptic You can use them as: - Lowpass - Highpass - Bandpass - Stopband Showing theirs features in frequency, phase and
zr
- 1. 用双线性变换法设计一个巴特沃斯低通IIR数字滤波器。设计指标参数为：在通带内频率低于0.2π时，最大衰减小于1dB；在阻带内[0.3π, π]频率区间上，最小衰减大于15dB. 2.0.02π为采样间隔，打印出数字滤波器在频率区间[0, π/2]上的频率响应特性曲线。 3. 用所设计的滤波器对实际心电图信号采样序列进行仿真滤波处理，观察总结滤波作用与效果 附：心电图采样序列x(n) 人体心电图信号在测量过程中往往受到工业高频干扰，所以必须经过低通滤波处理后，才能作为判断心脏
filter
- 用C语言对输入信号进行滤波，滤波器是预先用MATLAB设计好的-Using C language on the input signal is filtered, the filter is designed in advance using MATLAB
IIR-FILTER
- 采用双线性变换法实现IIR滤波器 并且用用所设计的滤波器对实际心电图信号采样序列进行仿真滤波处理-IIR filters using the bilinear transformation method and the sampling sequence of the designed filter on the actual ECG signal simulation filtering
IIR-filter-design
- 脉冲响应不变法设计滤波器，精心力作，有源码有文档说明-The impulse response the same method designed filter elaborate masterpiece, a source document explains
Farrow-filter-error
- 用 Farrow 结构滤波器对并行采样信号进行时间误差校正, 通过 DSPBuilder 软件将设计的滤波器模型转化为硬 件语言, 利于 FPGA 实现-The Farrow filter is used to correct the time error of the parallel sampling signal, and the designed filter model is converted to hard by DSPBuilder software
filter
- 利用窗函数法设计FIR滤波器，绘制出滤波器的特性图。利用所设计的滤波器对多个频带叠加的正弦信号进行处理，对比滤波前后的信号时域和频域图，验证滤波器的效果。最后录制或下载一段语音信号，对其进行采样和加噪，然后用设计滤波器对加噪后信号进行滤波，绘制出信号的时域波形和频谱，分别计算均值、方差、自相关函数、功率谱，并对滤波前后的信号进行对比。(Using window function design FIR filter, draw the filter characteristic diagram.
Plot the transfer function
- Plot the transfer function, the impulse response and the zeroes of the designed filter by using window method.