搜索资源列表
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IIR滤波器实现及FT的时域卷积定理验证-IIR filter realization and FT of time domain convolution theorem verification
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DSP算法程序，包含FFT、FIR、IIR、卷积、自适应滤波器等算法-DSP algorithm contains the FFT, FIR, IIR, convolution, adaptive filter algorithm
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design of:
1.butterworth bandpass filter
2.butterworth bandstop filter
3.butterworth lowpass filter
4.butterworth highpass filter
for the given specifications using matlab
design of:
1.hilbert transformer
2.differentiator
using
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使用DSP28335 FIR（finite impulse response） 滤波器算法试验 对位相乘求和法实现卷积-DSP FIR (finite impulse response) filter algorithm test， on bit multiply convolution summation method to achieve
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codes for linear convolution and fir filter in C and scilab
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在matlab环境下，自编的高斯滤波函数，其中的二维卷积运算也是自编的，没有使用matlab自带conv2函数。-In the matlab environment, self-Gaussian filter function, which is a two-dimensional convolution self, without using matlab built conv2 function.
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低通和高通分别作卷积的方法。用巴特沃斯滤波器构造数字二分频器。-Low-pass and high-pass respectively, for convolution approach. Digital Butterworth filter structure with two dividers.
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3GPP空间信道模型 (扩展)，该程序产生信道滤波器抽头，离散信号与其卷积，即表明信号通过该信道。-SCM 3GPP Spatial Channel Mode(extended).
The program produce channel filter taps. Then,discrete signal do convolution operation with taps, which indicates that signal is through this channel.
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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
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压缩文件中给出了已知系统传递函数及输入信号的情况下，求解系统输出响应的四种方法，即差分方程法，卷积法，DFT法以及滤波器设计方法；此外还包含创建窗及其频率响应的matlab设计。-Known compressed file system transfer function is given and the case of the input signal, the output response of the system to solve the four methods, namely th
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计算并显示滤波器的ambiguity function，分析滤波器的时间频域特性，使用卷积矩阵运算速度快-Calculates and displays the filter ambiguity function, time-frequency domain analysis filter characteristics, the use of fast convolution matrix operations
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Gabor滤波 默认5个尺度，8个方向 每次卷积后将结果拉成一维向量，再将每次卷积结果串起来。
-Gabor filter default 5 scale, eight directions of each convolution result will be pulled into one-dimensional vector, and then each convolution results to string together.
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This function calculates a room s impulse response for an arbitrarily positioned sound source in a rbitrarily dimensioned rectangular room, as it would be heard at an arbitrary position. The output of RIR.m is a vector and can be used as an FIR filte
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This function plots a Gaussian impulse response, unit impulse and the
convolution/deconvolution of both using MATLAB s filter . Specifically
it uses filter rather than deconv to do the deconvolution and thereby
returns the original Gaussian
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LTI系统的分析。用函数y=filter(p,d,x)实现差分方程的仿真，也可以用函数 y=conv(x,h)计算卷积，用y=impz(p,d,N)求系统的冲激响应，再用卷积来计算任意信号作用于系统的响应。-Analysis of LTI systems. With the function y = filter (p, d, x) to achieve the simulation of differential equations can also be used to calculate
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高斯滤波是一种线性平滑滤波，适用于消除高斯噪声，广泛应用于图像处理的减噪过程。通俗的讲，高斯滤波就是对整幅图像进行加权平均的过程，每一个像素点的值，都由其本身和邻域内的其他像素值经过加权平均后得到。高斯滤波的具体操作是：用一个模板（或称卷积、掩模）扫描图像中的每一个像素，用模板确定的邻域内像素的加权平均灰度值去替代模板中心像素点的值。-Gaussian smoothing filter is a linear filter for the elimination of Gaussian nois
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产生64QAM基带通信系统发射机：基带成型滤波采用3种方式（1）采用每个符号调制一个成型滤波函数，然后将各个函数进行时域叠加的方法；
（2）采用信号与低通滤波器响应函数卷积的方法；（3） matlab自带的升余弦函数-Produce 64QAM baseband communication system transmitter: baseband shaping filter uses three ways (1) the use of a molding each symbol modul
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变采样和多相滤波器的实现。本程序实现了一个变采样程序，中间设计滤波器设计和插值抽取。其中滤波器设计用的是窗函数法，根据要求设计窗函数，得到窗函数的长度。接着是插值，滤波，抽取，得到最后变采样之后的波形文件、另外对比了用直接卷积和多相分解卷积两种方法最后的结果。
-Implementation of variable sampling and polyphase filter. This procedure implements a variable sampling procedures,
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LabWindows_CVI作为一个用于建立自动测试系统的理想软件开发系统，提供了大量用于信号分析处理的函数，满足工程人员的需要。
信号产生实例工程“signal generation.prj”，LabWindows_CVI产生冲击信号、脉冲信号、斜坡信号、正旋信号、噪声信号、三角波信号等，在Graph控件中显示波形。
信号时域分析工程“timedomainanalysis.prj”，介绍了LabWindows_CVI信号的叠加、相关分析及卷积三种常用时域信号处理方式，将处理结果在Gra
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Overlap–save is the traditional name for an efficient way to uate the discrete convolution between a very long signal x[n] and a finite impulse response (FIR) filter h[n].-Overlap–save is the traditional name for an efficient way to uate the discret
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