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Description: DSP数字信号处理器的FIR滤波程序，很好用的-DSP数 ?中???
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Size: 5120 |
Author: 李世民 |
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Description: 个DDC使用的级联滤波器，结构CIC6+CFIR+PFIR-DDC using a cascade filter, the structure of CIC6+ CFIR+ PFIR
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Size: 2048 |
Author: yeong |
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Description: 印度GURUNANAK ENGINEERING COLLEGE数字信号处理实验室的DSP+c+Matlab联合编程手册-DIGITAL SIGNAL PROCESSING LAB (IV-I SEM)
INDEX
1. Architecture of DSP chips-TMS 320C 6713 DSP Processor
2. Linear convolution
3. Circular convolution
4. FIR Filter (LP/HP) Using Windowing technique
a. Rectangular window
b. Triangular window
c. Kaiser window
5. IIR Filter(LP/HP) on DSP processors
6. N-point FFT algorithm
7. Power Spectral Density of a sinusoidal signals
8. FFT of 1-D signal plot
9. MATLAB program to generate sum of sinusoidal signals
10. MATLAB program to find frequency response of analog
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Size: 1582080 |
Author: wangjin |
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Description: Designs a frequency-domain and time-domain FIR equalizer for
a single-input single-output (SISO) channel.
Frequency-domain equalization uses a Chebychev criteria and
is specified in terms of frequency response functions.
It is a convex problem (which can be formulated as an SOCP):
-
where H is the frequency response function and our variable
is the filter impulse response h. Function G is the unequalized
frequency response and G_des is the desired freq response.
Time-domain equalization immediately designs the impulse
response function by specifying the problem in time (it s an LP):
minimize max_{t neq D} |g_tilde(t)|
s.t. g_tilde(D) = 1
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Size: 1024 |
Author: wwcj |
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Description: 这是我们学校的DSP实验箱5502的FIR算法,保证可以用,功能很全,实验是通过MATLAB设计确定FIR滤波器系数,DSP 初始化,A/D采样,FIR运算，并可观察滤波前后的波型变化-This is our school s FIR DSP algorithms experimental box 5502, to ensure that you can use, features a very full, experiments designed to determine by MATLAB FIR filter coefficients, DSP initialization, A/D sampling, FIR operation and observing the filter before and after waveform changes
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Size: 185344 |
Author: Mr CAI |
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Description: The following Matlab project contains the source code and Matlab examples used for 2 d fir filter design. 2-D zero phase digital FIR filter using Hamming Window
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
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Size: 1024 |
Author: Virtyt |
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Description: 是小学期课程设计的题目，相控阵天线的方向图（切比雪夫加权），使用拉亚普诺夫指数的公式，D-S证据理论数据融合，FIR 底通和带通滤波器和IIR 底通和带通滤波器，感应双馈发电机系统的仿真，通过matlab代码，包括AHP，因子分析，回归分析，聚类分析。- Is the topic of the elementary school stage curriculum design, Phased array antenna pattern (Chebyshev weights), Raya Punuo Fu index using the formula, D-S evidence theory data fusion, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Simulation of doubly fed induction generator system, By matlab code, Including AHP, factor analysis, regression analysis, cluster analysis.
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Size: 6144 |
Author: qrcuytvs |
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Description: D-S证据理论数据融合，FIR 底通和带通滤波器和IIR 底通和带通滤波器，用MATLAB实现的压缩传感，ICA（主分量分析）算法和程序，光纤陀螺输出误差的allan方差分析，实现了对10个数字音的识别。- D-S evidence theory data fusion, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Using MATLAB compressed sensing, ICA (Principal Component Analysis) algorithm and procedures, allan FOG output error variance analysis, To achieve the recognition of 10 digital sound.
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Size: 7168 |
Author: fapksznx |
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Description: FIR 底通和带通滤波器和IIR 底通和带通滤波器，详细画出了时域和频域的相关图，考虑雨衰 阴影 和多径影响，matlab编写的元胞自动机，最小二乘回归分析算法，D-S证据理论数据融合，保证准确无误，是学习通信的好帮手，添加噪声处理。- Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Correlation diagram shown in detail the time domain and frequency domain, Consider shadow rain attenuation and multipath effects matlab prepared cellular automata, Least-squares regression analysis algorithm, D-S evidence theory data fusion, Ensure accurate communication is learning a good helper, Add noise processing.
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Size: 7168 |
Author: cqzfdkrz |
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Description: A window function design FIR digital band-pass filter, matlab development toolbox support vector machine, Rotating machinery 2-d holographic spectrum calculation.
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Size: 6144 |
Author: janquifang
|
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Description: （1）录制一段语音信号，完成对信号的采样，画出信号的时域波形和频谱图，确定信号的频谱范围；
（2）给信号叠加噪声（噪声类型分为如下几种：a白噪声；b单频噪色（正弦干扰）；c多频噪声（多正弦干扰）；d其它干扰。），画出受噪声干扰的信号时域波形和频谱图；
（3）采用窗函数法设计FIR低通滤波器，画出滤波器的频响特性图；
（4）用所设计的滤波器对受噪声影响的信号进行滤波，画出滤波后语音信号的时域波形图和频谱图；
（5）对滤波前后的信号进行对比，分析信号的变化；回放语音信号，并与原始语音信号对比。((1) record a speech signal, complete the sampling of the signal, draw the time domain waveform and frequency spectrum of the signal, and determine the spectrum range of the signal;
(2) signal superposition noise (noise type is divided into the following: a white noise, B single frequency noise (sinusoidal interference); C multifrequency noise (multi sinusoidal interference); d other interference) Noise signal, time domain waveform and spectrogram are drawn;
(3) the FIR low-pass filter is designed by using the window function method, and the frequency response characteristic of the filter is drawn;
(4) the designed filter is used to filter the signal affected by the noise, and the time domain waveform and spectrogram of the filtered speech signal are drawn;
(5) compare the signals before and after filtering, analyze the change of the signal, replay the speech signal, and compare with the original speech signal)
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Size: 13312 |
Author: 华
|
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Description: 1、验证窗函数 N 变化时，验证其频谱主瓣副瓣比、主瓣宽度的变化。
a)矩形窗函数的 N 变化时，验证其其频谱主瓣副瓣幅度比基本不会发生变化，
而主瓣宽度将会变窄。这说明，当用矩形窗函数设计滤波器时，增大 N 不能使
得阻带衰减减小，但能够减小过渡带。
b)再选取其他的窗如 hamming/hanning 窗，验证当 N 变化时，其频谱主瓣宽
度变化、主瓣副瓣比值变化情况。
2、用窗函数法设计线性相位 FIR 低通，通带截止频率 wp=0.5PI, 阻带截止频率 ws=0.6PI,
阻带衰减不小于 40dB,通带衰减不大于 3dB.
a)选取 Hanning,Hamming 窗查看设计出来的 FIR 的过渡带宽和阻带衰减是否
满足要求，二者有什么不同。
b)使用 hamming 窗，将窗长增大 1 倍，设计 FIR。验证同样的窗函数类型
(hamming)，不同窗长度时，设计出来的 FIR 的过渡带宽和阻带衰减都有什么变
化。
3、不使用 Matlab 系统函数得到上一项指标的低通，并与上一项结果比较。
4 用窗函数法设计线性相位 FIR 高通，通带截止频率 wp=0.8PI, 阻带截止频率
ws=0.7PI, 阻带衰减不小于 30dB,通带衰减不大于 3dB.(An actual filter is implemented using the truncated unit impulse response sequence of the ideal filter.
For the ideal low pass filter, the unit impulse response h, N, D () is intercepted by a length of N, and the length is
The N sequence H (n), when intercepted, guarantees causality and linear phase requirements for the filter.
In order to reduce the Gibbs effect, the H (n) window is added, and the appropriate window function is selected to ensure the stopband attenuation and
Transition zone requirement. Note that the sidelobe of the window function affects the stopband attenuation of the filter, and the main lobe width affects the filter
Transition bandwidth.)
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Size: 3072 |
Author: 花祭嘉音
|
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Description: Computation Method D phononic bandgap plane wave, To achieve the recognition of 10 digital sound, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter.
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Size: 4096 |
Author: vhmtchv
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Description: 2 d fir filter design in matlab
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Size: 1024 |
Author: choesongil |
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