搜索资源列表
design-flow-speeding-up-dsp
- Wavelets have widely been used in many signal and image processing applications. In this paper, a new serial-parallel architecture for wavelet-based image compression is introduced. It is based on a 4-tap wavelet transform, which is realised usin
Fusion
- 3D reconstruction, medical image processing from colons, using intel image processing for based class. This source code. Some code missing but I think you can understand it. Development version. This source code is very interesting for learning segme
wavelet+MCTF
- These three articles involves the combination of wavelet and MCTF. MCTF means motion-compensated-time-filter. It makes wavelet transform more popular because of the high compression efficiency.
liguyue
- 数字信号处理的课程设计。题目是语音信号滤波去噪——使用双线性变换法设计的切比雪夫II型滤波器-Digital signal processing design curriculum. Topics are filtering denoising speech signals- the use of bilinear transform design Chebyshev Type II Filter
Csource
- 数字图像快速傅立叶变换,定时器，数字滤波器，无限脉冲响应，索贝尔滤波器-Fast Fourier Transform，timer，FIR, IIR, and sobel filter using in Digital Image processing，based on code composer studio 2.2 IDE
lvbofangfa
- 针对全数字软件接收机中抽取滤波器的设计,提出了一种适合在FPGA内实现的单级积分清洗的滤波器结构,这种结构解决了传统积分梳妆滤波器中可能出现的积分器溢出问题,同时还可进行非整数倍的抽取变换.给出了一种无乘法半带滤波器的IIR实现结构,并对该滤波器性能进行了仿真,结果表明在输出过采样率大于4时基本不会影响系统误码性能.-Software for all-digital receiver decimation filter design, presents a suitable FPGA integ
Untitled6
- 下载数据，滤波变换，Hilbert变化，坐标变换，Matlab作图-Download the data, filter transform, Hilbert change, coordinate transformation, Matlab mapping
suzhixinhaoIIR
- IIR设计及讲解，介绍了双线性变换法，巴特沃斯变换法及滤波器设计的程序和结果。-IIR design and explain, introduced bilinear transform, transform, and Butterworth filter design procedures and results.
gabor
- The real and imaginary components of a complex Gabor filter are phase sensitive, i.e., as a consequence their response to a sinusoid is another sinusoid (see Figure 1.2). By getting the magnitude of the output (square root of the sum of squared
The-discrete-Fourier-transform
- 介绍了离散傅里叶变换的原理，DFT,FFT,的相关内容，最后介绍的数字滤波器的原理及分类-Describes the discrete Fourier transform theory, DFT, FFT, relevant content, finally introduced the principle of the digital filter and classification
Filter-design-and-simulation
- 根据性能指标设计一个巴特沃斯低通模拟滤波器，通过双线性变换将该模拟滤波器转变为数字滤波器，并进行matlab仿真 -Design a Butterworth low-pass analog filter based on performance indicators, through the the bilinear transform the analog filter into a digital filter, and matlab simulation
FILTER-BANK_15
- FRACTIONAL FOURIER TRANSFORM
yy
- 加信噪声，单边带调幅，设计波特滤波器，过滤噪声，比较经过希尔伯特变换前后的区别-Plus letter noise, single-sideband amplitude modulation design Potter filters, filter noise comparison, after the difference between before and after the Hilbert transform
Hilbert
- 关于一种基于IIR陷波器和平均滤波器的改进方法，即先利用Hilbert变换计算出相位差粗值，再经IIR陷波器和平均滤波器得到相位差精确值。-About based IIR notch filter and an improved method of the average filter, i.e. first use of the Hilbert transform to calculate the phase difference crude values, and then by the I
Noise-reduction-algorithm
- 对设备进行故障诊断的主要方法就是测量故障 设备的振动或噪声, 并对其进行分析, 从而找出故障原因。然而振动或噪声信号中除了对分析故障有用的信息外, 还有大量的噪声成分。只有有效地滤除噪声, 才能获得有用的信息, 从而得到可靠的分析结论。传统的滤噪方法是将被噪声污染的信号通过一个滤波器, 滤掉噪声频率成分。但对于短时瞬态信号、非平稳信号、含宽带噪声的信号, 采用传统处理方法有着明显的局限性。小波变换为信号去噪提供了一种有效的方法, 小波阈值去噪具有传统方法不可比拟的优越性。但是小波分解的频域重
Kalman-filtering-algorithm
- 卡尔曼滤波简介及其算法实现代码,近来发现有些问题很多人都很感兴趣。所以在这里希望能尽自己能力跟大家讨论一些力所能及的算法。现在先讨论一下卡尔曼滤波器，如果时间和能力允许，我还希望能够写写其他的算法，例如遗传算法，傅立叶变换，数字滤波，神经网络，图像处理等等。-The Kalman filtering Us algorithm code, recently found that some of the problems a lot of people are very interested. So
Fourier-transform-and-filter-design-
- 傅立叶变换和滤波器设计的ppt介绍傅立叶变换和滤波器设计-Fourier transform and filter design ppt
Hankel-Coefficient
- 计算汉克尔变换滤波系数的fortran程序,运行程序时只需输入0或1,0表示计算零阶汉克尔变换滤波系数，1表示计算一阶汉克尔变换滤波系数。-Hankel transform filter coefficients calculated fortran program, run the program simply enter 0 representing the zero-order Hankel transform computing filter coefficients, 1 repres
Matlab-filter-design
- 了解和比较冲激不变滤波器、阶跃不变滤波器和双线性Z变换滤波器的幅度响应-Understand and compare the amplitude response of the impulse invariant filter, the step invariant filter and the bilinear Z transform filter
Empirical-wavelet-transform
- 最近的一些方法，如经验模式分解 （EMD），提出将信号分解 其包含的信息。尽管它的适应性似乎 对于许多应用程序，这种方法的主要问题 是它缺乏理论。本文提出了一种新的方法 建立自适应小波。主要的想法是提取不同 设计适当的小波滤波器组的信号模式。 这种结构导致我们到一个新的小波变换，称为 经验小波变换。许多实验 显示此方法相比经典的有用性 EMD-Some recent methods, like the Empirical Mode Decompositio