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lfl02
- 数字信号处理、脉冲响应不变变换法设计巴特沃斯滤波器-Digital signal processing, the impulse response invariant transform design Butterworth filter
66
- 对结构响应信号进行连续复Morlet小波变换，根据小波系数的模极大值提取小波脊线，识别结构的瞬时频率；为降低噪音的影响，采用奇异值分解(SVD)方法进行降噪处理，建立了一种基于连续复小波变换识别时变系统 瞬时频率的方法。用一个具有时变刚度的弹簧质量系统的数值算例验证方法的有效性，随后设计了一个时变拉索 结构试验，分别对索施加线性和正弦变化的拉力，同时测试结构的冲击响应，运用提出的方法成功地识别了索的瞬时频率。数值与试验结果表明，提出的方法能有效地识别时变结构的瞬时频率，且识别方法具有一定
irsimit
- 计算红外，可见光信道脉冲响应，包含多次反射，可以有非常精确计算结果-visible light comuunication, channel impulse response
question-bank
- matlab file to implement impulse response of the input signal it helps the learner to implement the impul se -matlab file to implement impulse response of the input signal it helps the learner to implement the impul se
The-design-of-Labview-filter
- 本文主要介绍了有限脉冲响应数字滤波器（FIR）和无限脉冲响应数字滤波器（IIR）的原理与程序的设计，同时利用LABVIEW软件将不同滤波器在不同参数下的幅频和相频特性曲线进行直观的显示，从而使滤波器的设计简单易懂。通过比较不同方法实现的滤波器幅频和相频特性曲线，得出了各个滤波器滤波的优缺点。-This paper describes the finite impulse response digital filter (FIR) and infinite impulse response dig
Convolutional-code
- 卷积码编码采用编码函数codec对（2,1,3）卷积码编码，其参数m为输入信息序列，g1，g2为两个输出端口的冲激响应序列。-Convolutional code using the codec for coding function (2,1,3) convolutional code encoder, the parameters m for the input information sequence, g1, g2 for the two output ports impulse res
lab11_fir
- dsp实现有限冲激响应滤波器FIR算法实验-dsp realize finite impulse response filter FIR algorithm experiment
signalprocessing
- 1、产生信号，两个实正弦信号的叠加，幅度分别为2、4、1、3；混入均值为0、方差为1的白噪声。采用自适应滤波器对其进行去噪。 2.产生信号，为两个实正弦信号的叠加，其幅度均为4，混入均值为0、方差为1的白噪声。采用有限脉冲响应法设计一个维纳滤波器估计信号 ，并求最小均方误差。 3.产生高斯分布的白噪声w(n)，自行给定一个5阶AR模型，让该白噪声通过这个AR模型，得到输出信号x(n），再估计x(n）的AR模型数，比较估计的结果和原来给定的AR模型的参数。-A signal to be g
(a)FilterDesign-M-v2r0.tar
- This program designs four types of linear phase finite impulse response filters.(1) Equiripple Linear Phase Filter (multiple passbands and stopbands).(2) Equiripple Linear Phase Filter (multiple passbands and stopbands). (3) Equiripple Differentiator
iir-dsp
- iir dsp实现 C语言实现无限脉冲响应数字滤波器 可在DSP上运行-iir dsp realize the C language infinite impulse response digital filter can be run on the DSP-DSP programming C language realization of the infinite impulse response digital filter can be run on the DSP
IIR
- Infinite impulse response (IIR) is a property applying to many linear time-invariant systems. Common examples of linear time-invariant systems are most electronic and digital filters
FFT
- 31階低通濾波器有限脈衝響應濾波器（Finite Impulse Response Filter，FIR Filter），此濾波器主要功能為濾除不必要的高頻訊號，其濾波器係數為固定之係數。係數在程式碼的parameter宣告中。-31-order low-pass filter finite impulse response filter (Finite Impulse Response Filter, FIR Filter), the main function of this filter
rir
- Implements an Room Impulse Response for having one source and one speaker at different positions in a meeting room
dd
- 无限冲击响应滤波器 (IIR) 实现，涉及一个Butterworth低通滤波器，设计指标为：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，最小衰减要大于15dB -An infinite impulse response filter (IIR) implementation, involves a Butterworth low-pass filter design specifications as follows: in the passband f
xuesheng5
- 无限长单位脉冲响应(IIR)滤波器的设计：包括巴特沃兹带通滤波器，数字高通滤波器，巴特沃兹带通滤波器，-Infinite impulse response (IIR) filter design: including Butterworth band-pass filter, digital filter, Butterworth bandpass filter,
Fenomeno-de-gibbs
- Program to calculate the impulse response of ideal filters that illustrate the gibbs fenomenon.designing filters by windowing method and seing impulse and frecuency respons of filters and checking response by incresing the number of elementos fenomen
FIR
- 基于28332DSP的有限脉冲响应（FIR）实现，代码简便，并给出具体说明，欢迎使用-Based 28332DSP finite impulse response (FIR), the code is simple, and gives specific instructions, Welcome
Gabor-Transform
- Gabor滤波器的原理是 其脉冲响应为一个谐波函数（即下式中的余弦函数）和一个高斯函数的乘积。根据信号与系统理论，时频域的卷积和乘积互为傅里叶变换。Gabor滤波器的傅里叶变换为谐波和高斯函数各自傅里叶变换的卷积-The principle of the Gabor filter is a harmonic of its impulse response function (i.e., the cosine function in the formula) and the product of
filter-design
- IIR和FIR滤波器的设计，用脉冲响应不变法和双线性变换法设计IIR滤波器，用窗函数法设计了FIR滤波器。-IIR and FIR filter design, with the impulse response method and the bilinear transform IIR filter design using window function design of the FIR filter.
IIR-DSP-FILTER
- 设计IIR数字滤波器一般采用间接法（脉冲响应不变法和双线性变换法），应用最广泛的是双线性变换法。基本设计过程是：①先将给定的数字滤波器的指标转换成过渡模拟滤波器的指标； ②设计过渡模拟滤波器；③将过渡模拟滤波器系统函数转换成数字滤波器的系统函数。MATLAB信号处理工具箱中的各种IIR数字滤波器设计函数都是采用双线性变换法。-IIR digital filter design commonly used indirect method (impulse response method and t