Description: dsp算法40例,包括fft、滤波器、谱运算等
1． 将模拟滤波器转变为数字滤波器。
2． 由得到幅频响应 。
3． 用Burg算法求AR模型的参数。
4． 由AR模型参数得到功率谱。
5． 用Levinson算法求解Yule-Walker方程以得到 阶AR模型的参数 。
6． 实现双线性Z变换。
7． 设计巴特沃斯模拟低通滤波器，求出转移函数 。
8． 设计切比雪夫I型模拟低通滤波器，求出转移函数 。
9． 直接由定义求 点复序列 的DFT 。
10．利用经典的Cooley-Tukey基2算法求复序列 的DFT 。
-dsp algorithms 40 cases, including the fft, filter, spectrum operations, etc.
1. Analog filters into digital filters.
2. Amplitude-frequency response by obtained.
3. Burg algorithm for AR model with the parameters of demand.
4. AR model parameters obtained from the power spectrum.
5. Levinson algorithm using Yule-Walker equations to get the first-order AR model
parameters.
6. The bilinear Z transform to achieve.
7. Design of Butterworth analog low-pass filter, find the transfer function.
8. Design of Chebyshev-I analog low-pass filter, find the transfer function.
9. Directly from the definition of point complex sequence of DFT.
10. The use of the classic Cooley-Tukey radix-2 algorithm is seeking re-sequence of DFT.
....... Platform: |
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Author:jack |
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Description: In most cases, a bandpass filter characteristic
is obtained by using a lowpass-to-bandpass frequency
transformation on a known lowpass transfer function. This
frequency transformation controls the location of passband
edges and transfer zero frequencies completely. Using the
“Vlach-Chebyshev approximation” [1] however, we are
able to specify the (Chebyshev) passband limits directly,
together with a free choice of transfer zero locations in the
stopband. In this way it is possible to design bandpass
transfer functions that cannot be obtained from lowpass
functions by a frequency transformation. We think this
method to be the only (and not very well known) analytical
method to obtain such bandpass characteristics. We show
how we designed wave digital realizations from the specification,
through a VHDL description and synthesis into a
Xilinx FPGA (Virtex-II). Platform: |
Size: 195584 |
Author:rakesh |
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Search - transfer function of chebyshev filter